In-situ visual detection method and apparatus for shale oil content and properties, and device

Abstract

The present application relates to the technical field of oilfield exploration and development. Provided are an in-situ visual detection method and apparatus for shale oil content and properties, and a device. The method comprises: acquiring relevant experimental data of rock polished-section samples under specific experimental conditions, wherein the specific experimental conditions comprise specific experimental environment conditions and specific experimental device parameter conditions; and on the basis of the relevant experimental data, determining target data, wherein the target data is used for determining crude oil properties of shale oil in shale, and comprises data of crude oil in non-nanoscale oil-bearing pores and / or data of crude oil in nanoscale oil-bearing pores. The method in the present application realizes refined evaluation of light hydrocarbon recovery of shale oil and property analysis of crude oil in nanopores, which is of great significance for the calculation of resources and recoverable reserves of shale oil and the effective development of shale oil.

Description

Method, device and equipment for in-situ visual detection of shale oil content and property

[0001] The present application claims priority to the Chinese patent application No. 2024112752370, filed on September 11, 2024, and entitled "Method, device and equipment for determining crude oil property of shale oil in shale", the whole content of which is incorporated herein by reference. TECHNICAL FIELD

[0002] The present application relates to the technical field of oilfield exploration and development, and in particular to a method, device and equipment for in-situ visual detection of shale oil content and property. BACKGROUND

[0003] Due to the energy shortage in China and the increasing demand for energy, the staff of major oilfields have carried out a lot of research work in the field of shale oil and gas exploration, which has made shale oil gain more and more attention. The development and utilization of shale oil are of great significance to energy supply.

[0004] However, due to the complexity of shale oil reservoirs and the characteristics of light oil and easy evaporation of shale oil, it is difficult to analyze and determine the crude oil property of shale oil in shale. Conventional experimental techniques cannot meet the needs of scientific research and production, and cannot accurately reflect the distribution and properties of shale oil at different pore scales. Therefore, it is urgent to establish unconventional experimental techniques to support the exploration and development of shale oil. SUMMARY

[0005] The present application provides a method for in-situ visual detection of shale oil content and property, which solves the problem that it is difficult to analyze and determine the crude oil property of shale oil in shale due to the complexity of shale oil reservoirs and the characteristics of light oil and easy evaporation of shale oil. Conventional experimental techniques cannot meet the needs of scientific research and production, and cannot accurately reflect the distribution and properties of shale oil at different pore scales.

[0006] In a first aspect, the present application provides a method for in-situ visual detection of shale oil content and property, which comprises:

[0007] Obtaining relevant experimental data of a rock thin section sample under specific experimental conditions; wherein the specific experimental conditions include specific experimental environmental conditions and specific experimental equipment parameter conditions;

[0008] Determining target data according to the relevant experimental data; wherein the target data is used to determine the crude oil property of shale oil in shale, and the target data includes data of crude oil in non-nanometer oil-containing pores and / or data of crude oil in nanometer oil-containing pores;

[0009] The data of the crude oil in the non-nanoscale oil-bearing pores include one or more of the following: average volume percentage of crude oil in the non-nanoscale oil-bearing pores, average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, number of light component storage units, number of heavy component storage units, and crude oil density.

[0010] The data of the crude oil in the nanoscale oil-bearing pores include one or more of the following: average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, crude oil density, oil-bearing pore connectivity coordination number, carbon composition, and proportion.

[0011] The related experimental data of the rock thin section sample under specific experimental conditions include:

[0012] At a first time point, three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification is collected; the first time point is a time point under a preset low-temperature freezing condition;

[0013] At a plurality of different second time points, three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification is collected; the second time point is a time point after the temperature is adjusted to a preset room temperature;

[0014] The first preset magnification is less than the second preset magnification, the three-dimensional data under the first preset magnification is used to determine the data of the crude oil in the non-nanoscale oil-bearing pores, and the three-dimensional data under the second preset magnification is used to determine the data of the crude oil in the nanoscale oil-bearing pores.

[0015] Optionally, the rock thin section sample is a core drilled from shale under a closed pressure-maintaining condition, the core is stored and transported under a preset liquid nitrogen freezing condition, and the thin section sample is prepared in a preset low-temperature liquid nitrogen vapor environment.

[0016] Optionally, when performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification, a laser with a first wavelength is selected as an excitation light source, an XYZ scanning mode is selected, a second wavelength to a third wavelength is set as a light component receiving wavelength band, and a wavelength band above the third wavelength is set as a heavy component receiving wavelength band.

[0017] Optionally, when performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification, a laser with a wavelength of 488 nm is selected as an excitation light source, an XYZ scanning mode is selected, a wavelength band of 500 nm to 550 nm is set as a light component receiving wavelength band, and a wavelength band above 550 nm is set as a heavy component receiving wavelength band.

[0018] Optionally, when the target data comprises data of crude oil in non-nanoscale oil-containing pores, the rock thin section sample is scanned point by point, line by line, surface by surface, layer by layer at each time point by selecting a plurality of observation fields satisfying a preset condition, and three-dimensional data corresponding to a plurality of first preset multiples are collected for each time point. The target data is determined according to the related experimental data, comprising:

[0019] For each time point, the following steps are performed respectively to determine the target data of each time point:

[0020] The three-dimensional data corresponding to each observation field are subjected to volume modeling and surface modeling, and the data after surface modeling are subjected to statistical analysis by using a data statistical function to obtain the field length, field width, field height, number of oil storage units of light components, number of oil storage units of heavy components, light component volume and heavy component volume of crude oil in each oil storage unit of each observation field;

[0021] According to the field length, field width, field height, number of oil storage units of light components, number of oil storage units of heavy components, light component volume and heavy component volume of crude oil in each oil storage unit of each observation field in each time point, the target data corresponding to each time point is determined.

[0022] Optionally, according to the field length, field width, field height, number of oil storage units of light components, number of oil storage units of heavy components, light component volume and heavy component volume of crude oil in each oil storage unit of each observation field in each time point, the target data corresponding to each time point is determined, comprising:

[0023] For each time point, the sum of the light component volumes of crude oil in each oil storage unit in each observation field is determined as the light component volume of crude oil of the observation field; and the sum of the heavy component volumes of crude oil in each oil storage unit in the observation field is determined as the heavy component volume of crude oil of the observation field;

[0024] The product of the field length, field width and field height of the observation field is determined as the volume of the observation field;

[0025] The percentage value of the light component volume of crude oil of the observation field to the volume of the observation field is determined as the light component volume percentage content of the observation field; and the percentage value of the heavy component volume of crude oil of the observation field to the volume of the observation field is determined as the heavy component volume percentage content of the observation field;

[0026] determining a ratio of a sum of the volume percentage of the light component in each observation field to the number of the observation fields as an average volume percentage of the light component of the crude oil in the non-nanoscale oil-bearing pore, and determining a ratio of a sum of the volume percentage of the heavy component in each observation field to the number of the observation fields as an average volume percentage of the heavy component of the crude oil in the non-nanoscale oil-bearing pore;

[0027] determining a sum of the average volume percentage of the light component and the average volume percentage of the heavy component as an average volume percentage of the crude oil in the non-nanoscale oil-bearing pore, and determining a ratio of the average volume percentage of the light component to the average volume percentage of the heavy component as a light-heavy ratio of the crude oil in the non-nanoscale oil-bearing pore;

[0028] determining a sum of the number of the oil storage units of the light component in each observation field as a number of the oil storage units of the light component of the crude oil in the non-nanoscale oil-bearing pore, and determining a sum of the number of the oil storage units of the heavy component in each observation field as a number of the oil storage units of the heavy component of the crude oil in the non-nanoscale oil-bearing pore.

[0029] Optionally, when the target data includes data of the crude oil in the nanoscale oil-bearing pore, the rock thin section sample is subjected to non-destructive amplification by selecting at least one observation field satisfying a preset condition at each time point until the nanoscale oil-bearing pore can be observed, and the three-dimensional data corresponding to the nanoscale oil-bearing pore satisfying the preset condition at a second preset magnification are collected at each time point. The target data is determined according to the related experimental data, and the method comprises the following steps:

[0030] The target data at each time point is determined by performing the following steps at each time point, respectively:

[0031] The three-dimensional data of the nanoscale oil-bearing pore are subjected to volume modeling and surface modeling, and the data after surface modeling are subjected to statistical analysis by using a data statistical function to obtain a field length, a field width, a field height of each nanoscale oil-bearing pore, and a volume of the light component and a volume of the heavy component of the crude oil in each oil storage unit;

[0032] The target data at each time point is determined according to the field length, the field width, the field height, the volume of the light component and the volume of the heavy component of the crude oil in each oil storage unit of each nanoscale oil-bearing pore.

[0033] Optionally, the target data at each time point is determined according to the field length, the field width, the field height, the volume of the light component and the volume of the heavy component of the crude oil in each oil storage unit of each nanoscale oil-bearing pore, and the method comprises the following steps:

[0034] For each time point, the sum of the light component volumes of the crude oil in each storage unit in each nanoscale oil-containing pore is determined as the light component volume of the crude oil in the nanoscale oil-containing pore; the sum of the heavy component volumes of the crude oil in each storage unit in the nanoscale oil-containing pore is determined as the heavy component volume of the crude oil in the nanoscale oil-containing pore;

[0035] The product of the field of view length, the field of view width and the field of view height of the nanoscale oil-containing pore is determined as the volume of the nanoscale oil-containing pore;

[0036] The percentage value of the light component volume of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore is determined as the light component volume percentage content of the crude oil in the nanoscale oil-containing pore; the percentage value of the heavy component volume of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore is determined as the heavy component volume percentage content of the crude oil in the nanoscale oil-containing pore;

[0037] The ratio of the average volume percentage content of the light component to the average volume percentage content of the heavy component is determined as the light-heavy ratio of the crude oil in the nanoscale oil-containing pore.

[0038] Optionally, the three-dimensional data corresponding to the nanoscale oil-containing pore satisfying the preset condition collected at each time point at the second preset multiple, after the three-dimensional data of the nanoscale oil-containing pore is subjected to volume modeling and surface modeling, the method further comprises:

[0039] The nanoscale oil-containing pore is filled by using a preset filling principle of the ball-stick model, and the oil-containing pore connectivity coordination number of the nanoscale oil-containing pore is determined.

[0040] Optionally, when the target data includes the density of the crude oil, the method further comprises:

[0041] At the first time point and the plurality of different second time points, laser spectrum data obtained by using a short focal objective lens with a second preset multiple to perform laser confocal analysis on the rock thin section sample is also collected;

[0042] In addition, the peak area normalization method is adopted to perform total hydrocarbon gas chromatography analysis on N groups of different types and different densities of crude oil standard samples, to determine the carbon composition and relative proportion of each crude oil standard sample and the corresponding total hydrocarbon gas chromatography data; wherein N≥40;

[0043] The light component content and the heavy component content of each crude oil standard sample are obtained, and a relationship equation between the light-heavy ratio and the density of the crude oil standard sample is established;

[0044] Collecting laser spectrum data of each crude oil standard sample, and establishing a spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample.

[0045] Optionally, the light-heavy ratio-density relationship equation of the crude oil standard sample is established by collecting the light component content and the heavy component content of each crude oil standard sample.

[0046] Collecting three-dimensional data obtained by using a short focal length objective lens with a first preset multiple to carry out laser confocal analysis on crude oil standard samples with different densities under a preset low-temperature freezing condition.

[0047] Carrying out volume modeling and surface modeling on the three-dimensional data of crude oil standard samples with different densities, respectively, and statistically analyzing the data after surface modeling by using a data statistical function to process the light component content, the heavy component content, and the light-heavy ratio of each crude oil standard sample.

[0048] The light-heavy ratio-density relationship equation of the crude oil standard sample is established based on the light-heavy ratio and the density of each crude oil standard sample.

[0049] Optionally, the laser spectrum data of each crude oil standard sample is collected, including:

[0050] Selecting a fourth wavelength laser as an excitation light source, selecting an XYλ scanning mode, setting a detection step width as a step width threshold, and setting a detection wavelength range as a fifth wavelength to a sixth wavelength, each crude oil standard sample is processed to collect laser spectrum data of each crude oil standard sample.

[0051] Optionally, the laser spectrum data of each crude oil standard sample is collected, including:

[0052] Selecting a 488nm wavelength laser as an excitation light source, selecting an XYλ scanning mode, setting a detection step width as 3nm, and setting a detection wavelength range as 500nm-800nm, each crude oil standard sample is processed to collect laser spectrum data of each crude oil standard sample.

[0053] Optionally, the spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established, including:

[0054] According to the carbon composition and relative proportion of each crude oil standard sample, the corresponding total hydrocarbon gas chromatography data, and the laser spectrum data, a spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established.

[0055] Optionally, according to the carbon composition and relative proportion of each crude oil standard sample, the corresponding total hydrocarbon gas chromatography data, and the laser spectrum data, a spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established, including:

[0056] For each crude oil standard sample, a file containing laser spectrum data of the crude oil standard sample is exported from a local file, the wavelength and intensity in the laser spectrum data of the crude oil standard sample are extracted, and a list processing is performed;

[0057] The wavelength and intensity after the list processing are subjected to percentage processing and tailing removal processing, and the wavelength and intensity after the percentage processing and tailing removal processing are written into a file and exported;

[0058] Based on the wavelength and intensity after the percentage processing and tailing removal processing, a scatter point area used for comparison with a carbon component is calculated by using a multi-trapezoidal area calculation method;

[0059] By gradually expanding the scatter point area calculation range, when the proportion of the calculated scatter point area of the carbon component in the total area reaches the relative proportion of the carbon component, the corresponding wavelength is recorded to determine the wavelength range of the carbon component, and the wavelength range of each carbon component of the crude oil standard sample is determined;

[0060] Based on the wavelength range of each carbon component of each crude oil standard sample and the corresponding total hydrocarbon gas chromatography data, a spectrum peak intensity-wavelength-carbon number coupling relationship chart is established for each crude oil standard sample.

[0061] Alternatively, based on the wavelength range of each carbon component of each crude oil standard sample and the corresponding total hydrocarbon gas chromatography data, a spectrum peak intensity-wavelength-carbon number coupling relationship chart is established for each crude oil standard sample, which includes:

[0062] For each crude oil standard sample, the laser spectrum peak intensity of the crude oil standard sample is fitted into an equation with the wavelength range of each carbon component of the crude oil standard sample, and the fitted equation is fitted again with the corresponding total hydrocarbon gas chromatography data to obtain a spectrum peak intensity-wavelength-carbon number coupling relationship chart for the crude oil standard sample.

[0063] Alternatively, the determining the target data according to the related experimental data further includes:

[0064] The light-heavy ratio of the crude oil in the non-nanoscale oil-bearing pore of the rock thin section sample obtained at each time point is respectively brought into the relationship equation between the light-heavy ratio and the density of the crude oil standard sample to determine the density of the crude oil in the non-nanoscale oil-bearing pore of the rock thin section sample at each time point.

[0065] The light-heavy ratio of the crude oil in the nanoscale oil-bearing pore of the rock thin section sample obtained at each time point is respectively brought into the relationship equation between the light-heavy ratio and the density of the crude oil standard sample to determine the density of the crude oil in the nanoscale oil-bearing pore of the rock thin section sample at each time point.

[0066] Optionally, the determining the target data according to the related experimental data further comprises:

[0067] The laser spectrum data collected by using the second preset multiple of the short focal objective lens to carry out laser confocal analysis on the rock thin section sample at each time point is respectively brought into the spectral peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample, and comparison is made to determine the change of the carbon composition and proportion of the light hydrocarbon loss of the crude oil in the nanoscale pore over time.

[0068] Optionally, the determining the target data according to the related experimental data further comprises:

[0069] The laser spectrum data collected by using the second preset multiple of the short focal objective lens to carry out laser confocal analysis on the rock thin section sample at each time point is respectively brought into the spectral peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample, and comparison is made to determine the change of the carbon composition and proportion of the light hydrocarbon loss of the crude oil in the nanoscale pore over time.

[0070] Optionally, when the target data includes one or more of the data of the crude oil in the non-nanoscale oil-bearing pore, and / or one or more of the average volume percentage content of the light component, the average volume percentage content of the heavy component, the light-heavy ratio, and the crude oil density of the light component in the nanoscale oil-bearing pore, the method further comprises:

[0071] A change curve of the target data with respect to the corresponding time point is established, and an equation corresponding to the change curve is determined, which is a curve equation of the target data with respect to time.

[0072] Optionally, the method further comprises:

[0073] According to the curve equation of the target data with respect to time, the corresponding target data at the starting time point is predicted; the starting time point represents the time when the rock thin section sample is not collected.

[0074] Optionally, the specific experimental environmental conditions at least include maintaining the preset low-temperature freezing condition during the entire experimental process.

[0075] Optionally, the method further comprises:

[0076] The target data is rendered and displayed.

[0077] In a second aspect, the present application provides a shale oil content and property in-situ visual detection device, which comprises:

[0078] The acquisition unit is configured to acquire relevant experimental data of the rock thin section sample under specific experimental conditions, wherein the specific experimental conditions include specific experimental environmental conditions and specific experimental equipment parameter conditions.

[0079] The processing unit is configured to determine target data according to the relevant experimental data, wherein the target data is used to determine the crude oil properties of the shale oil in the mud shale, and the target data includes data of crude oil in non-nanoscale oil-bearing pores and / or data of crude oil in nanoscale oil-bearing pores.

[0080] The data of crude oil in non-nanoscale oil-bearing pores includes one or more of the following: average volume percentage of crude oil in non-nanoscale oil-bearing pores, average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, number of light component oil storage units, number of heavy component oil storage units, and crude oil density.

[0081] The data of crude oil in nanoscale oil-bearing pores includes one or more of the following: average volume percentage of light components of crude oil in nanoscale oil-bearing pores, average volume percentage of heavy components, light-heavy ratio, crude oil density, oil-bearing pore connectivity coordination number, carbon composition, and proportion.

[0082] The acquisition of the relevant experimental data of the rock thin section sample under the specific experimental conditions includes:

[0083] At a first time point, three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification is collected, and the first time point is a time point under a preset low-temperature freezing condition.

[0084] At a plurality of different second time points, three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification is collected, and the second time point is a time point after the temperature is adjusted to a preset room temperature.

[0085] The first preset magnification is less than the second preset magnification, the three-dimensional data under the first preset magnification is used to determine the data of crude oil in non-nanoscale oil-bearing pores, and the three-dimensional data under the second preset magnification is used to determine the data of crude oil in nanoscale oil-bearing pores.

[0086] In a third aspect, the present application provides an electronic device, which comprises a processor and a memory connected in communication with the processor.

[0087] The memory stores computer execution instructions.

[0088] The processor executes the computer execution instructions stored in the memory to realize the method as described above.

[0089] In a fourth aspect, the present application provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and the computer execution instructions are used to implement the method as described above when executed by a processor.

[0090] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which is used to implement the method as described above when executed by a processor.

[0091] The shale oil content and property in-situ visual detection method, device and equipment provided by the present application, by obtaining the related experimental data of the rock thin section sample under specific experimental conditions, wherein the specific experimental conditions include specific experimental environment conditions and specific experimental equipment parameter conditions; determining target data according to the related experimental data; wherein the target data is used to determine the crude oil properties of shale oil in the shale, and the target data includes the data of crude oil in non-nano oil-containing pores and / or the data of crude oil in nano oil-containing pores; the data of crude oil in non-nano oil-containing pores includes one or more of the following: average crude oil volume percentage content of non-nano oil-containing pores, average volume percentage content of light components, average volume percentage content of heavy components, light-heavy ratio, light component oil storage unit quantity, heavy component oil storage unit quantity, and crude oil density; the data of crude oil in nano oil-containing pores includes one or more of the following: average volume percentage content of light components, average volume percentage content of heavy components, light-heavy ratio, crude oil density, oil-containing pore connectivity coordination number, carbon composition and proportion of crude oil in nano oil-containing pores; the shale oil light hydrocarbon recovery and fine evaluation of crude oil property analysis in nano pores can be realized, which has great significance for shale oil resource quantity and recoverable reserve calculation and shale oil effective utilization, and provides data support for shale reservoir evaluation. BRIEF DESCRIPTION OF DRAWINGS

[0092] The drawings incorporated into the specification and forming a part thereof, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application.

[0093] Fig. 1 is a flow diagram of a shale oil content and property in-situ visual detection method provided by an embodiment of the present application;

[0094] Fig. 2 is a three-dimensional visual top view of the loss of shale oil light components (<C15) in a rock thin section sample over time provided by an embodiment of the present application;

[0095] Fig. 3 is a loss curve diagram of shale oil light components (<C15) in a rock thin section sample over time provided by an embodiment of the present application;

[0096] Fig. 4 is a three-dimensional visualization top view of the loss of heavy components (≥C15) of shale oil over time in a rock thin section sample according to an embodiment of the present application;

[0097] Fig. 5 is a curve graph of the loss of heavy components (≥C15) of shale oil over time in a rock thin section sample according to an embodiment of the present application;

[0098] Fig. 6 is a three-dimensional visualization top view of the loss of heavy and light components (superimposed) of shale oil over time in a rock thin section sample according to an embodiment of the present application;

[0099] Fig. 7 is a curve graph of the loss of total oil content over time in a rock thin section sample according to an embodiment of the present application;

[0100] Fig. 8 is a curve graph of the change of the ratio of heavy and light components of shale oil over time in a rock thin section sample according to an embodiment of the present application;

[0101] Fig. 9 is a graph of the relationship between the density of crude oil and the ratio of heavy and light components according to an embodiment of the present application;

[0102] Fig. 10 is a curve graph of the change of the overall density of crude oil over time in a rock thin section sample according to an embodiment of the present application;

[0103] Fig. 11 is a curve graph of the change of the density of crude oil over time in a nanopore 1 of a rock thin section sample according to an embodiment of the present application;

[0104] Fig. 12 is a graph of the coupling relationship between the spectral peak intensity, wavelength and carbon number of a group of standard samples of crude oil according to an embodiment of the present application;

[0105] Fig. 13 is a structural schematic diagram of an in-situ visualization detection device for the content and properties of shale oil according to an embodiment of the present application;

[0106] Fig. 14 is a structural schematic diagram of an electronic device according to an embodiment of the present application.

[0107] The specific embodiments of the present application have been shown through the above-described drawings, and will be described in more detail hereinafter. These drawings and written descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0108] The exemplary embodiments will be described in detail herein with reference to the attached drawings. The same reference numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments are not meant to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the present application as detailed in the appended claims.

[0109] The terms "first", "second", "third", "fourth" and the like in the description and in the claims of the present application, and above-mentioned drawings, if any, are used to distinguish between similar objects and not necessarily for describing a specific sequential or chronological order. It is to be understood that the use of these terms herein is only to distinguish the different components, and is not intended to spatial or chronological precedence. It is to be understood that the data thus used in the description can be interchanged, where appropriate, so that the embodiments of the application described herein can be carried out in other sequences than the ones described herein or illustrated in the accompanying drawings. Furthermore, the terms "comprising", "having", "including" and any of their derivatives, are intended to cover non-exclusive inclusion, such that processes, methods, systems, products, or devices that comprise, have, or include a list of steps or elements, but not those only, can also include other steps or elements not expressly listed or inherent to such processes, methods, products, or devices.

[0110] With the energy shortage and the increasing demand for energy, shale oil in shale has become a very important unconventional oil and gas resource, and its development and utilization is of great significance to energy supply. However, due to the complexity of shale oil reservoirs and the characteristics of light shale oil and easy evaporation, it is difficult to analyze and determine the crude oil properties of shale oil in shale. Conventional experimental techniques cannot meet the needs of scientific research and production, and unconventional experimental techniques are needed to support shale oil exploration and development. In particular, the accurate determination of the original oil content, the light hydrocarbon recovery experiment, and the evaluation of the properties of crude oil in nanopores such as density, carbon composition and proportion, etc. as important experimental techniques for shale oil reservoir evaluation need further research.

[0111] Therefore, the embodiment of the present application proposes a shale oil content and property in-situ visual detection method. By obtaining relevant experimental data of rock thin section samples under specific experimental environmental conditions and specific experimental equipment parameter conditions, target data for determining the crude oil properties of shale oil in shale can be analyzed and obtained. Then, important parameters such as oil content, crude oil connectivity, density, carbon composition and proportion of the cored but not tested oil production well can be obtained, and the fine characterization of oiliness in shale reservoir evaluation can be realized, which is of great significance for the calculation of shale oil resource and recoverable reserves and the effective development of shale oil.

[0112] The technical solutions of the present application and how the technical solutions of the present application solve the above-mentioned technical problems will be described in detail in the following specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes can not be described again in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0113] FIG. 1 is a flowchart of a shale oil content and property in-situ visual detection method according to an embodiment of the present application. The subject of the embodiment of the present application can be a shale oil content and property in-situ visual detection device, which can be located on an electronic device, such as a computer or a server, without limitation.

[0114] As shown in FIG. 1, the shale oil content and property in-situ visual detection method according to the embodiment of the present application includes the following steps.

[0115] S101, obtaining relevant experimental data of the rock thin section sample under specific experimental conditions.

[0116] The specific experimental conditions include specific experimental environment conditions and specific experimental equipment parameter conditions.

[0117] Optionally, in the embodiment of the present application, the rock thin section sample can be a core drilled from shale under a sealed pressure maintaining condition, and the core is stored and transported under a preset liquid nitrogen freezing condition, and the rock thin section sample is prepared in a preset low-temperature liquid nitrogen vapor environment.

[0118] For example, the specific experimental environment condition can be a preset low-temperature freezing condition. For example, the experimental environment condition can be that the rock thin section sample is kept under a low-temperature freezing condition during the whole experiment. That is, the experiment is kept frozen during the whole process. For example, since the shale oil is generally light and volatile, in order to accurately determine the original state of the crude oil in the rock pore under the formation condition, the core can be drilled under a sealed pressure maintaining condition, the core sample can be stored and transported under a liquid nitrogen freezing condition, the rock block with a size of 1 cm x 1 cm x 0.5 cm can be cut in a low-temperature liquid nitrogen vapor environment (about -196℃ to -140℃), and the core can be polished in the low-temperature liquid nitrogen vapor environment, and finally the rock thin section sample with a size of 5 mm x 5 mm x 2 mm and a bright surface can be prepared.

[0119] For example, after the rock thin section sample is prepared, the experiment can be carried out under specific experimental environment conditions (such as specific temperature, humidity, pressure, etc.) and specific experimental equipment parameter conditions (such as the equipment model, use mode, objective lens magnification, signal strength, exposure value, etc. of the laser confocal microscope) according to the experimental requirements of the embodiment of the present application, and the relevant experimental data of the rock thin section sample under the specific experimental conditions can be obtained.

[0120] S102, determining target data according to the relevant experimental data.

[0121] The target data is used to determine the crude oil properties of shale oil in shale, and the target data includes data of crude oil in non-nanoscale oil-bearing pores and / or data of crude oil in nanoscale oil-bearing pores; the data of crude oil in non-nanoscale oil-bearing pores includes one or more of the following: average crude oil volume percentage of crude oil in non-nanoscale oil-bearing pores, average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, number of light component storage units, number of heavy component storage units, and crude oil density; the data of crude oil in nanoscale oil-bearing pores includes one or more of the following: average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, crude oil density, oil-bearing pore connectivity coordination number, carbon composition, and oil-bearing pore proportion.

[0122] Exemplarily, the obtained experimental data is processed, analyzed and calculated, and the target data used to determine the crude oil properties of shale oil in shale can be obtained.

[0123] In a possible embodiment, when it is necessary to determine one or more of the following parameters: average crude oil volume percentage of crude oil in non-nanoscale oil-bearing pores, average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, number of light component storage units, number of heavy component storage units, and average volume percentage of light components, average volume percentage of heavy components, and light-heavy ratio of crude oil in nanoscale oil-bearing pores, the experimental data of the rock thin section sample under specific experimental conditions is obtained, which can include: at a first time point, collecting three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective with a first preset magnification and / or a second preset magnification; the first time point is a time point under a preset low-temperature freezing condition; at a plurality of different second time points, collecting three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective with a first preset magnification and / or a second preset magnification; the second time point is a time point after the temperature is adjusted to a preset room temperature; wherein the first preset magnification is less than the second preset magnification, and the three-dimensional data under the first preset magnification is used to determine the data of crude oil in non-nanoscale oil-bearing pores, and the three-dimensional data under the second preset magnification is used to determine the data of crude oil in nanoscale oil-bearing pores.

[0124] For example, after the rock thin section sample is prepared, the prepared rock thin section sample can be loaded into a full-automatic cold stage, the cold stage is sealed and placed directly below an objective lens of a laser confocal microscope, a cold stage control system is adjusted, liquid nitrogen vapor is extracted, the temperature in the cold stage chamber is reduced, and laser confocal analysis is performed under low-temperature freezing.

[0125] For the rock thin section sample, the data analysis of crude oil in non-nanoscale oil-bearing pores and the data analysis of crude oil in nanoscale oil-bearing pores can be carried out in a frozen state (which can be recorded as 0 min, that is, the first time point). Specifically, the laser confocal microscope motorized stage can be adjusted to obtain a representative observation field of view and a maximum focal plane, a laser of a first wavelength can be selected as an excitation light source, a first preset magnification such as a 20X short focus objective lens can be selected for observation, an XYZ scanning mode can be selected, each channel signal intensity can be adjusted to a maximum value below overexposure, a second wavelength to a third wavelength can be set as a light component receiving waveband, a waveband above the third wavelength can be set as a heavy component receiving waveband, and the rock thin section sample can be scanned point by point, line by line, face by face, and layer by layer with a top surface and a bottom surface at least 10 μm above and below the maximum focal plane. The three-dimensional data corresponding to the first preset magnification can be obtained. Then, a second preset magnification such as a 100X short focus objective lens can be switched to observe the rock thin section sample, an XYZ scanning mode can be selected, a second wavelength to a third wavelength can be set as a light component receiving waveband, a waveband above the third wavelength can be set as a heavy component receiving waveband, ZOOM IN lossless magnification can be started in preview mode, and nanoscale oil-bearing pores can be observed after magnification to 5000X. Representative oil-bearing pores can be selected for further magnification and observation, and when magnified to about 10000X, the nanoscale pores in the rock can be clearly observed, and the laser spectrum scanning of the crude oil in the nanoscale pores can not only obtain the laser spectrum data of the rock thin section sample, but also collect three-dimensional data of the crude oil in the nanoscale pores.

[0126] For example, the first wavelength can be 488 nm, the second wavelength can be 500 nm, and the third wavelength can be 550 nm. Then, for the rock thin section sample, the data analysis of crude oil in non-nanoscale oil-bearing pores and the data analysis of crude oil in nanoscale oil-bearing pores can be respectively performed in a frozen state (which can be recorded as 0 min, that is, a first time point). Specifically, the laser confocal microscope motorized stage can be adjusted to obtain a representative observation field of view and a maximum focal plane, a laser with a wavelength of 488 nm can be selected as an excitation light source, a first preset magnification such as a 20X short focal objective lens can be selected for observation, an XYZ scanning mode can be selected, each channel signal intensity can be adjusted to a maximum value below overexposure, a waveband of 500 nm to 550 nm can be set as a light component receiving waveband, a waveband above 550 nm can be set as a heavy component receiving waveband, and at least 10 μm above and below the maximum focal plane can be set as a top surface and a bottom surface for scanning. The rock thin section sample can be scanned point by point, line by line, surface by surface, and layer by layer, and three-dimensional data corresponding to the first preset magnification can be obtained. Then, a second preset magnification such as a 100X short focal objective lens can be switched to observe the rock thin section sample, the XYZ scanning mode can be selected, the waveband of 500 nm to 550 nm can be set as the light component receiving waveband, the waveband above 550 nm can be set as the heavy component receiving waveband, the ZOOM IN lossless magnification can be started in the preview mode, and after being magnified by 5000X, the nanoscale oil-bearing pores can be observed. When magnified to about 10000X, the nanoscale oil-bearing pores in the rock can be clearly observed, and the laser spectrum scanning of the crude oil in the nanoscale oil-bearing pores can obtain laser spectrum data of the rock thin section sample and three-dimensional data of the crude oil in the nanoscale oil-bearing pores.

[0127] The full-automatic cold stage can be adjusted to quickly restore the temperature in the sample chamber to room temperature, and the above steps can be performed at a plurality of different second time points after the temperature is restored to room temperature, such as 5 min, 10 min, 20 min, 30 min, 60 min (1 h), 120 min (2 h), 240 min (4 h), 360 min (6 h), 480 min (8 h), 600 min (10 h), 720 min (12 h), 960 min (16 h), 1200 min (20 h), 1440 min (1 d), 2880 min (2 d), 4320 min (3 d), 7200 min (5 d), 10080 min (7 d), 14400 min (10 d), 21600 min (15 d), 28800 min (20 d), 36000 min (25 d), 43200 min (30 d), and the like. The three-dimensional data corresponding to the first preset magnification and the second preset magnification at each time point can be obtained. Of course, the data obtained when the above experiment is performed can also be collected according to actual needs, and the embodiments of the present application do not limit this.

[0128] In order to improve the data accuracy, in a possible embodiment, when the data of the crude oil in the non-nanoscale oil-bearing pore is to be acquired, a plurality of observation fields meeting the preset condition can be selected at each time point to perform point-by-point, line-by-line, surface-by-surface, and layer-by-layer scanning on the rock thin section sample, and three-dimensional data corresponding to a plurality of first preset multiples can be collected at each time point. For example, at least 9 representative fields can be selected to repeat the above operation steps to obtain three-dimensional data corresponding to 9 first preset multiples at each time point. After the three-dimensional data of the rock thin section sample at each time point corresponding to the first preset multiples is acquired, the following steps can be performed at each time point to determine the target data at each time point:

[0129] The three-dimensional data corresponding to each observation field is subjected to volume modeling and surface modeling, and statistical analysis is performed on the data after surface modeling by using a data statistics function to obtain the field length, field width, field height, number of oil storage units of light components, number of oil storage units of heavy components, light component volume and heavy component volume of the crude oil in each oil storage unit of each observation field;

[0130] The target data corresponding to each time point is determined according to the field length, field width, field height, number of oil storage units of light components, number of oil storage units of heavy components, light component volume and heavy component volume of the crude oil in each oil storage unit of each observation field at each time point.

[0131] Exemplarily, the three-dimensional data corresponding to each observation field at each time point is subjected to volume modeling, surface modeling, and statistical analysis processing is performed on the data after surface modeling by using a data statistics function, so that the field length, field width, field height, number of oil storage units of light components, number of oil storage units of heavy components, light component volume and heavy component volume of the crude oil in each oil storage unit of each observation field can be obtained, and then the average crude oil volume percentage content, light component content (i.e. average light component volume percentage content), heavy component content (i.e. average heavy component volume percentage content), light-heavy ratio, light component oil storage unit number, heavy component oil storage unit number, and other parameters of the rock thin section sample can be acquired.

[0132] Exemplarily, the following formulas can be referred to for calculation:

[0133] 1) The light (heavy) component volume of the crude oil in a single field is calculated according to formula (1):

[0134] In formula (1):

[0135] V — volume of light (heavy) component of crude oil in single field of view, unit: cubic micrometer (μm3);

[0136] Vi — volume of light (heavy) component of crude oil in the i-th oil storage unit, unit: cubic micrometer (μm3);

[0137] n — number of oil storage units.

[0138] 2) The volume percentage of light (heavy) component of crude oil in single field of view is calculated according to formula (2):

[0139] In formula (2):

[0140] P — volume percentage of light (heavy) component of crude oil in single field of view, unit: %;

[0141] V — volume of light (heavy) component of crude oil in single field of view, unit: cubic micrometer (μm3);

[0142] L — length of field of view, unit: micrometer (μm);

[0143] W — width of field of view, unit: micrometer (μm);

[0144] H — height of field of view, unit: micrometer (μm).

[0145] 3) The average volume percentage of light (heavy) component of crude oil is calculated according to formula (3):

[0146] In formula (3):

[0147] P — average volume percentage of light (heavy) component of crude oil in the rock thin section sample, unit: %;

[0148] P i — volume percentage of light (heavy) component of crude oil in the i-th field of view, unit: %;

[0149] m — number of fields of view.

[0150] 4) The average volume percentage of crude oil is calculated according to formula (4):

[0151] In formula (4):

[0152] P — average volume percentage of crude oil in the rock thin section sample, unit: %;

[0153] P — average volume percentage of light component of crude oil in the rock thin section sample, unit: %;

[0154] — the average volume percentage of the light component of the crude oil in the rock thin section sample, unit: %.

[0155] 5) The average light-heavy ratio of the crude oil is calculated according to formula (5):

[0156] In formula (5):

[0157] — the average volume percentage of the light component of the crude oil in the rock thin section sample, unit: %;

[0158] — the average volume percentage of the heavy component of the crude oil in the rock thin section sample, unit: %.

[0159] That is, for each time point, based on the above formula, the sum of the volumes of the light components of the crude oil in each reservoir unit in each observation field of view is determined as the volume of the light component of the crude oil in the observation field of view, the sum of the volumes of the heavy components of the crude oil in each reservoir unit in the observation field of view is determined as the volume of the heavy component of the crude oil in the observation field of view, the product of the length, width and height of the observation field of view is determined as the volume of the observation field of view, the percentage value of the volume of the light component of the crude oil in the observation field of view to the volume of the observation field of view is determined as the volume percentage of the light component in the observation field of view, the percentage value of the volume of the heavy component of the crude oil in the observation field of view to the volume of the observation field of view is determined as the volume percentage of the heavy component in the observation field of view, then the ratio of the sum of the volume percentages of the light components in the observation fields of view to the number of the observation fields of view is determined as the average volume percentage of the light component of the crude oil in the non-nanoscale oil-bearing pores, the ratio of the sum of the volume percentages of the heavy components in the observation fields of view to the number of the observation fields of view is determined as the average volume percentage of the heavy component of the crude oil in the non-nanoscale oil-bearing pores, the sum of the average volume percentages of the light component and the heavy component is determined as the average volume percentage of the crude oil in the non-nanoscale oil-bearing pores, the ratio of the average volume percentage of the light component to the average volume percentage of the heavy component is determined as the light-heavy ratio of the crude oil in the non-nanoscale oil-bearing pores, the sum of the number of the reservoir units of the light component in the observation fields of view is determined as the number of the reservoir units of the light component of the crude oil in the non-nanoscale oil-bearing pores, and the sum of the number of the reservoir units of the heavy component in the observation fields of view is determined as the number of the reservoir units of the heavy component of the crude oil in the non-nanoscale oil-bearing pores.

[0160] Similarly, if the data of the crude oil in the nanoscale oil-containing pores is to be obtained, only at least one observation field of view meeting the preset condition can be selected at each time point to non-destructively magnify the rock thin section sample until the nanoscale oil-containing pores can be observed, and the three-dimensional data corresponding to the nanoscale oil-containing pores meeting the preset condition at the second preset magnification is collected at each time point. After the three-dimensional data corresponding to the rock thin section sample at the second preset magnification at each time point is obtained, the following steps are performed for each time point, and the target data at each time point can also be determined:

[0161] The three-dimensional data of the nanoscale oil-containing pores is subjected to volume modeling and surface modeling, and statistical analysis is performed on the data after surface modeling by using a data statistical function to obtain the field of view length, the field of view width, the field of view height, the volume of the light component of the crude oil in each oil storage unit, and the volume of the heavy component of the crude oil in each oil storage unit of each nanoscale oil-containing pore;

[0162] The target data at each time point is determined according to the field of view length, the field of view width, the field of view height, the volume of the light component of the crude oil in each oil storage unit, and the volume of the heavy component of the crude oil in each oil storage unit of each nanoscale oil-containing pore.

[0163] Alternatively, for each time point, the sum of the volume of the light component of the crude oil in each oil storage unit of each nanoscale oil-containing pore, the volume of the heavy component of the crude oil in each oil storage unit of the nanoscale oil-containing pore, the product of the field of view length, the field of view width and the field of view height of the nanoscale oil-containing pore, the percentage value of the volume of the light component of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore, the percentage value of the volume of the heavy component of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore, and the ratio of the average volume percentage of the light component to the average volume percentage of the heavy component can be determined by using formulas similar to formulas (1) to (5), the sum of the volume of the light component of the crude oil in each oil storage unit of each nanoscale oil-containing pore is the volume of the light component of the crude oil in the nanoscale oil-containing pore, the volume of the heavy component of the crude oil in each oil storage unit of the nanoscale oil-containing pore is the volume of the heavy component of the crude oil in the nanoscale oil-containing pore, the product of the field of view length, the field of view width and the field of view height of the nanoscale oil-containing pore is the volume of the nanoscale oil-containing pore, the percentage value of the volume of the light component of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore is the volume percentage of the light component of the crude oil in the nanoscale oil-containing pore, the percentage value of the volume of the heavy component of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore is the volume percentage of the heavy component of the crude oil in the nanoscale oil-containing pore, and the ratio of the average volume percentage of the light component to the average volume percentage of the heavy component is the light-heavy ratio of the crude oil in the nanoscale oil-containing pore.

[0164] At this point, the average volume percentage of crude oil, the average volume percentage of light components, the average volume percentage of heavy components, the light-heavy ratio, the number of light component storage units, the number of heavy component storage units in the non-nanoscale oil-containing pores, and the average volume percentage of light components, the average volume percentage of heavy components, and the light-heavy ratio of the crude oil in the nanoscale oil-containing pores at each time point can be determined. For these target data, in some possible embodiments, a change curve of the target data with respect to the corresponding time point can be established, and an equation corresponding to the change curve can be determined, that is, a curve equation of the target data with respect to time. For example, based on the curve equation, corresponding data at other times can be predicted, so as to achieve more detailed analysis and characterization of the properties of the crude oil. For example, when the rock thin section sample is collected from shale in a normal collection manner, shale oil in the rock thin section sample has been volatilized in the collection process. For this case, the curve equation of the target data with respect to time can be used to predict the target data in the rock thin section sample at the moment when the rock thin section sample is just collected. The moment when the rock thin section sample is just collected is the initial time point. For example, at the moment when the rock thin section sample is just collected, the target data in the rock thin section sample is the target data of the shale oil in the shale in the region where the rock thin section sample is located.

[0165] For example, FIG. 2 is a three-dimensional visualization top view of the loss of light components (<C15) of shale oil in a rock thin section sample with respect to time according to an embodiment of the present application; and FIG. 3 is a curve graph of the loss of light components (<C15) of shale oil in a rock thin section sample with respect to time according to an embodiment of the present application. As shown in FIGS. 2 and 3, the original content of light components in the rock thin section sample is about 1.59%, the light components are lost quickly in the initial stage, the loss in the center of large pores is most obvious, and the light components tend to be stable after 5-10 days, and finally exist in the form of a thin film adsorbed on the pore surface. After 30 days, only about 0.17% of light components remain.

[0166] Figure 4 is a three-dimensional visualization top view of the loss of heavy components (≥C15) of shale oil in a rock thin section sample over time according to an embodiment of the present application; and Figure 5 is a graph of the loss of heavy components (≥C15) of shale oil in a rock thin section sample over time according to an embodiment of the present application. As shown in Figures 4 and 5, the original content of heavy components in the rock thin section sample is about 0.55%, and the heavy components as a whole are relatively slowly lost, with the center part of the macropores being lost faster, and tending to be stable after 5-10 days, and the remaining heavy components being about 0.30% after 30 days. Figure 6 is a three-dimensional visualization top view of the loss of light and heavy components (superimposed) of shale oil in a rock thin section sample over time according to an embodiment of the present application; and Figure 7 is a graph of the loss of total oil content in a rock thin section sample over time according to an embodiment of the present application. As shown in Figures 6 and 7, the original total oil content of the rock thin section sample is about 2.14%, and the loss rate of the total oil content is between that of the light components and that of the heavy components.

[0167] Figure 8 is a graph of the change in the light-heavy ratio of shale oil in a rock thin section sample over time according to an embodiment of the present application. As shown in Figure 8, the original light content is significantly higher than the heavy content, with the light-heavy ratio being 2.89, the light content is lower than the heavy content after 6 hours, with the light-heavy ratio being 0.9, and the light-heavy ratio tends to be stable after 5 days, with the light-heavy ratio being 0.55. Understandably, the quantity and volume of the light components are much higher than those of the heavy components in the original state, with the quantity being 5.33 times that of the heavy components and the volume being 2.89 times that of the heavy components, and after 30 days, the quantity of the light components is comparable to that of the heavy components, being 1.09 times that of the heavy components, and the volume of the light components is lower than that of the heavy components, being 0.55 times that of the heavy components.

[0168] In the embodiments of the present application, the average volume percentage content of light components, the average volume percentage content of heavy components, and the light-heavy ratio of crude oil in the nanoscale oil-bearing pores at each time point can also be established as the visualization graphs and corresponding curves of Figures 2-8 described above to analyze the changes of the crude oil in the nanoscale oil-bearing pores over time, which is not limited in the present application.

[0169] In addition, in a possible embodiment, after the three-dimensional data of the nanoscale oil-bearing pores corresponding to the nanoscale oil-bearing pores satisfying the preset condition at each time point at the second preset multiple are subjected to volume modeling and surface modeling, the nanoscale oil-bearing pores can also be filled by using a preset filling principle of the ball-stick model to determine the oil-bearing pore connectivity coordination number of the nanoscale oil-bearing pores.

[0170] Exemplarily, the "maximum sphere filling principle" of the sphere-stick model can be used to fill the nanoscale oil-containing pores, such as the oil-containing pores that are interconnected, and the connected pores are represented by "sticks". After modeling by the sphere-stick model, relevant parameters of the oil-containing pores, such as the connectivity number of the oil-containing pores, can be obtained. For example, the rock thin section sample shown in FIG. 2 can be obtained, and the pore classification number is 2.29, the tortuosity is 5.63, and the average coordination number is 1.28, and the difficulty of shale oil exploitation can be further evaluated.

[0171] In a possible embodiment, when the crude oil density is included in the target data, the obtaining of the relevant experimental data of the rock thin section sample under the specific experimental condition can further include:

[0172] At the first time point and the plurality of different second time points, laser spectrum data of the rock thin section sample analyzed by the laser confocal analysis using the second preset magnification short focal objective lens is also collected;

[0173] In addition, the peak area normalization method is used to perform total hydrocarbon gas chromatography analysis on N groups of different types and different densities of crude oil standard samples to determine the carbon composition and relative proportion of each crude oil standard sample and the corresponding total hydrocarbon gas chromatography data; wherein N≥40;

[0174] The light component content and the heavy component content of each crude oil standard sample are obtained, and a relationship equation between the light-heavy ratio and the density of the crude oil standard sample is established.

[0175] The laser spectrum data of each crude oil standard sample is collected, and a spectrum peak intensity-wavelength-carbon number coupling graph board of each crude oil standard sample is established.

[0176] Optionally, 0.1-0.5 μL of the crude oil standard sample can be taken by a micro pipette into a gas chromatograph, high-purity nitrogen gas is introduced as a carrier gas, a programmed temperature is set, the initial temperature is 50°C, the final temperature is 290°C, the temperature rising rate is 6°C / min, the hydrogen flame detector temperature is 310°C, and then the peak area normalization method is used to quantitatively determine the carbon composition and the corresponding content of the crude oil standard sample, and the corresponding total hydrocarbon gas chromatography data is obtained. In practice, not less than 40 groups of different types and different densities of crude oil standard samples can be sequentially subjected to the above steps to obtain the carbon composition and the relative proportion of different types and different densities of crude oil, and the corresponding total hydrocarbon gas chromatography data is obtained.

[0177] In a possible embodiment, the above-mentioned obtaining of the light component content and the heavy component content of each crude oil standard sample, and the establishment of the relationship equation between the light-heavy ratio and the density of the crude oil standard sample can include:

[0178] The three-dimensional data obtained by the laser confocal analysis of the crude oil standard samples of different densities using the first preset magnification short focal objective lens under the preset low-temperature freezing condition is collected.

[0179] The three-dimensional data of the crude oil standard samples of different densities are respectively subjected to volume modeling and surface modeling, and the data after surface modeling are subjected to statistical analysis by using a data statistics function, so as to obtain the light component content, heavy component content and light-heavy ratio of each crude oil standard sample;

[0180] Based on the light-heavy ratio and density of each crude oil standard sample, a relationship equation between the light-heavy ratio and the density of the crude oil standard sample is established.

[0181] Exemplarily, a pipette can be used to take one drop (about 50 μL) of the crude oil standard sample to a circular full-automatic cold stage flat glass slide with a diameter of 10 mm and a thickness of 0.5 mm, the cold stage is sealed and placed right below the objective lens of the microscope stage, the cold stage control system is adjusted, the liquid nitrogen vapor is extracted, the temperature in the cold stage chamber is reduced, and the laser confocal analysis of the crude oil standard sample is carried out at low temperature. Then, a laser with a wavelength of 488 nm is selected as the excitation light source, a 20X objective lens is selected for observation, an XYZ scanning mode is selected, a waveband of 500 nm to 550 nm is set as the light component receiving waveband, and a waveband above 550 nm is set as the heavy component receiving waveband, the crude oil standard sample is scanned point by point, line by line, surface by surface and layer by layer, and a three-dimensional data volume is obtained. Then, volume modeling and surface modeling are performed on the three-dimensional data volume, and the data after surface modeling are subjected to statistical analysis by using a data statistics function, so as to obtain the light component content and heavy component content of the crude oil standard sample, and further obtain the light-heavy ratio. The light-heavy ratio of the crude oil standard sample is obtained in a similar manner as in the above embodiment, and will not be described herein. Different types and different densities of not less than 40 groups of crude oil standard samples are sequentially subjected to the above steps, so as to obtain the light-heavy ratio of the crude oil standard samples of different types and different densities, and further establish the relationship equation between the light-heavy ratio and the density of the crude oil standard sample.

[0182] Optionally, when the scanning object is a rock thin section sample, based on the point-by-point, line-by-line, surface-by-surface and layer-by-layer scanning of the rock thin section sample, a three-dimensional data volume is obtained, and visual information such as the rock skeleton and the region where the crude oil is located of the rock thin section sample can be further constructed. Further, the oil storage unit in the rock thin section sample and the diameter and volume of each oil storage unit can be obtained. Based on the diameter and volume of each oil storage unit in the rock thin section sample, the diameter peak value of the oil storage unit can be obtained through diameter distribution histogram analysis of the oil storage unit, and the volume peak value of the oil storage unit can be obtained through volume distribution histogram analysis of the oil storage unit. The diameter peak value and volume peak value and other information can be used to guide the exploitation process of the shale oil in the region where the rock thin section sample is located.

[0183] Optionally, based on the point-by-point, line-by-line, surface-by-surface, layer-by-layer scanning of the rock thin section sample, the three-dimensional data volume is obtained, and the spatial position and volume information of the light component oil storage unit and the heavy component oil storage unit can also be obtained. In order to better observe the light component oil storage unit and the heavy component oil storage unit, an ID of each light component oil storage unit or heavy component oil storage unit can be generated, and the light / heavy, diameter, volume and other information of the oil storage unit can be recorded to realize the observation of the oil storage unit. The observation effect of the oil storage unit can be shown in the three-dimensional visualization diagram as shown in FIG. 2, FIG. 4 and FIG. 6.

[0184] For example, FIG. 9 is a relationship diagram of the density of crude oil and the light / heavy ratio provided by an embodiment of the present application. As shown in FIG. 9, as the light / heavy ratio of the crude oil standard sample increases, the density of the crude oil standard sample shows a downward trend. Based on the curve, a relationship equation of the light / heavy ratio and the density of the crude oil standard sample can be fitted.

[0185] After obtaining the relationship equation of the light / heavy ratio and the density of the crude oil standard sample, the light / heavy ratio of the crude oil in the non-nanoscale oil-bearing pore of the rock thin section sample obtained at each time point (0 min-43200 min) can be respectively brought into the relationship equation of the light / heavy ratio and the density of the crude oil standard sample, so as to determine the density of the crude oil in the non-nanoscale oil-bearing pore of the rock thin section sample at each time point. The light / heavy ratio of the crude oil in the nanoscale oil-bearing pore of the rock thin section sample obtained at each time point can also be respectively brought into the relationship equation of the light / heavy ratio and the density of the crude oil standard sample, so as to determine the density of the crude oil in the nanoscale oil-bearing pore of the rock thin section sample at each time point.

[0186] On the basis of the above-mentioned embodiments, the electronic device can further include a display, and the display interface of the display can display the light component average volume percentage content, the heavy component average volume percentage content, the light / heavy ratio, the oil content and other parameters in the target data changing over time in real time. Optionally, the curve can change dynamically in real time. Optionally, the display of the curve at a certain moment can be as shown in FIG. 3, FIG. 5, FIG. 7 and FIG. 8. Optionally, the three-dimensional visualization diagram as shown in FIG. 2, FIG. 4 and FIG. 6 can also be generated according to the target data. The three-dimensional visualization diagram can display the light component oil storage unit and / or the heavy component oil storage unit in the rock thin section sample in real time, so as to determine the changes of the light component oil storage unit and / or the heavy component oil storage unit after volatilization.

[0187] In a possible embodiment, based on the density of crude oil in the non-nanoscale oil-bearing pores of the rock thin section sample at each time point, a curve of the change of the density of crude oil in the non-nanoscale oil-bearing pores of the rock thin section sample over time can be determined. FIG. 10 is a curve diagram of the change of the overall crude oil density of a rock thin section sample over time according to an embodiment of the present application. As shown in FIG. 10, the overall crude oil light-heavy ratio of the rock thin section sample is 2.89, which is brought into the equation of the relationship between the light-heavy ratio and the density of the crude oil standard sample, and the original density of the crude oil of the rock thin section sample is 0.7895 g / cm3. 3 Over time, light hydrocarbons are lost, and after 30 days, the density of the crude oil of the sample becomes 0.9653 g / cm3. 3

[0188] In a possible embodiment, based on the density of crude oil in the nanoscale oil-bearing pores of the rock thin section sample at each time point, a curve of the change of the density of crude oil in the nanoscale oil-bearing pores of the rock thin section sample over time can also be determined. FIG. 11 is a curve diagram of the change of the density of crude oil in nanometer hole 1 of a rock thin section sample over time according to the present application. As shown in FIG. 11, the initial density of crude oil in nanometer hole 1 is 0.7689 g / cm3. 3 Over time, part of the light hydrocarbons is lost, and after 30 days, the density of crude oil in nanometer hole 1 becomes 0.8398 g / cm3. 3

[0189] Optionally, in a possible embodiment, when collecting the laser spectrum data of each crude oil standard sample, a fourth wavelength laser can be selected as the excitation light source, an XYλ scanning mode can be selected, the detection step width can be set to a step width threshold, the detection wavelength range can be set to a fifth wavelength to a sixth wavelength range, and each crude oil standard sample can be processed to collect the laser spectrum data of each crude oil standard sample. Further, a spectrum peak intensity-wavelength-carbon number coupling chart of each crude oil standard sample can be established according to the carbon composition and the relative proportion, the corresponding total hydrocarbon gas chromatogram data, and the laser spectrum data of each crude oil standard sample collected above.

[0190] For example, the step width threshold can be 3 nm, the fourth wavelength can be 488 nm, the fifth wavelength can be 500 nm, and the sixth wavelength can be 800 nm.

[0191] ​​Optionally, in a possible embodiment, when collecting the laser spectrum data of each crude oil standard sample, a 488 nm wavelength laser can be selected as the excitation light source, an XYλ scanning mode can be selected, a detection step width of 3 nm can be set, a detection wavelength range of 500 nm-800 nm can be set, and each crude oil standard sample can be processed to collect the laser spectrum data of each crude oil standard sample. Furthermore, a spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample can be established according to the carbon composition and relative proportion, the corresponding total hydrocarbon gas chromatography data, and the laser spectrum data of each crude oil standard sample collected.

[0192] In a possible embodiment, the spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample can be established according to the carbon composition and relative proportion, the corresponding total hydrocarbon gas chromatography data, and the laser spectrum data of each crude oil standard sample, which can include:

[0193] For each crude oil standard sample, a file containing the laser spectrum data of the crude oil standard sample is exported from a local file, the wavelength and intensity in the laser spectrum data of the crude oil standard sample are extracted, and a list processing is performed;

[0194] The wavelength and intensity after the list processing are subjected to percentage processing and tailing removal processing, and the wavelength and intensity after the percentage processing and tailing removal processing are written into a file and exported;

[0195] A multi-trapezoidal area calculation method is adopted, and the wavelength and intensity after the percentage processing and tailing removal processing are used to calculate a scatter point area for comparison with carbon components;

[0196] The wavelength range of each carbon component of the crude oil standard sample is determined by gradually expanding the scatter point area calculation range, recording the corresponding wavelength when the proportion of the calculated scatter point area of the carbon component in the total area reaches the relative proportion of the carbon component, and determining the wavelength range of the carbon component.

[0197] Based on the wavelength range of each carbon component of each crude oil standard sample and the corresponding total hydrocarbon gas chromatography data, a spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established.

[0198] For example, after selecting a 488 nm wavelength laser as the excitation light source, selecting an XYλ scanning mode, setting a detection step width of 3 nm, and setting a detection wavelength range of 500 nm-800 nm, a fitting equation of the laser spectrum peak intensity and wavelength of each standard crude oil sample can be established, and the fitting equation and the corresponding total hydrocarbon gas chromatography data can be fitted again, and finally a laser spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample can be established. The specific operation steps can be as follows:

[0199] First, data selection and import: data import preparation can be performed by selecting the target original data name, accessing the computer local folder and main storage data files such as.xlsx through the filedialog function in the tkinter library, and reading the selected file according to the file name through the pandas database. In the embodiment of the application, two columns of effective values (wavelength and intensity) in the original spectrum data can be extracted and listed to obtain x (wavelength) and y (intensity) two columns of data to be processed. At the same time of importing data, the extracted data can also be checked and inspected through the text display function of the tkinter interactive database.

[0200] Secondly, the x and y columns of data to be processed are processed by percentage and "tail removal": first, the maximum value in y is identified, and all values in the y list are substituted into the formula y = [(y / y_max)*100] to normalize all y values; then, the larger x value in the wavelength is used to judge the algorithm, if the difference between the y values corresponding to the adjacent multiple x points and the minimum value of the y list is less than 1, the y values corresponding to the multiple x points are adjusted to the minimum value in the y list, to ensure the stability of the data in the larger wavelength interval. After the percentage and "tail removal" processing of the data, the corresponding data parameter row, column and value are written into the new file.xls for export processing using the xlwt database and for loop syntax.

[0201] Thirdly, the area of the scatter points is calculated: in order to ensure the accuracy of the calculation of the area of the spectrum intensity scatter points, the effective data points and the minimum value of y (self-defined axis) can be divided into multiple trapezoids, and then the cumulative area of the trapezoids is calculated according to the trapezoidal area calculation formula S = (x [a] -x [a-1] )*(y [a-1] +y [a] ) / 2, and the obtained result is subtracted from the area of y = 0 and the minimum value of y (self-defined axis) in the x effective value range, to obtain the scatter point area for comparison with the carbon component.

[0202] Finally, the carbon composition corresponding wavelength calculation is performed: assuming that a target carbon component C1-Ca accounts for the proportion A of the total component, a variable b is set, and the for loop calculation is performed in the limited scatter data x length. The scatter area calculation range is gradually expanded from 500-500 nm to 500-800 nm (b is the calculation end value). At the same time, the for loop is used to calculate the proportion of the scatter area of the (500-b) nm segment to the total area of the 500-800 nm scatter area (fixed value) by using the multi-trapezoidal area calculation method. Through if judgment, when the proportion of the variable segment scatter area to the total area is greater than or equal to A, the variable a value is returned to the container list. Finally, the smallest element in the list is identified, and the corresponding wavelength range of C1-Ca is obtained.

[0203] The above steps are performed for each crude oil standard sample, and the wavelength range of each carbon component of each crude oil standard sample can be determined. Then, for each crude oil standard sample, the laser spectrum peak intensity of the crude oil standard sample is fitted as an equation with the wavelength range of each carbon component of the crude oil standard sample, and the fitted equation is fitted again with the corresponding total hydrocarbon gas chromatography data, to obtain the spectrum peak intensity-wavelength-carbon number coupling relationship chart of the crude oil standard sample.

[0204] At this point, at least 40 sets of spectrum peak intensity-wavelength-carbon number coupling relationship charts of crude oil standard samples can be obtained. For example, FIG. 12 is a set of spectrum peak intensity-wavelength-carbon number coupling relationship charts of crude oil standard samples provided by the embodiment of the present application. As shown in FIG. 12, the spectrum peak intensity-wavelength-carbon number coupling relationship of six crude oil standard samples is exemplified.

[0205] In a possible embodiment, the laser spectrum data collected by using the second preset multiple short focal length objective lens to perform laser confocal analysis on the rock thin section sample at each time point is respectively brought into the spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample for comparison, so that the change of the carbon composition and proportion of the crude oil in the nanoscale pore with the passage of time can be determined.

[0206] For example, the laser spectrum data of the crude oil in the nanoscale pore of the rock thin section sample at each time point (0 min-43200 min) is respectively brought into the spectrum peak intensity-wavelength-carbon number coupling relationship chart of the crude oil standard sample for comparison, so that the change of the carbon composition and proportion of the crude oil in the nanoscale pore with the passage of time can be obtained. By comparing the carbon composition and proportion change characteristics of the crude oil in the nanoscale pore of different types and different diameters, the properties of the pore oil in the nanoscale can be evaluated.

[0207] In a possible embodiment, the collected rock thin section sample can be subjected to laser confocal analysis to obtain laser spectrum data. Optionally, the collected rock thin section sample can be a rock thin section sample collected in a conventional manner. The laser spectrum data of the collected rock thin section sample is brought into a spectrum peak intensity-wavelength-carbon number coupling graph of each crude oil standard sample for comparison, to determine the carbon composition and proportion of crude oil in the nanoscale pores of the collection area corresponding to the collected rock thin section sample. Illustratively, in this way, the carbon composition and proportion of crude oil in the nanoscale pores of the area corresponding to each rock thin section sample can be quickly obtained, thereby achieving auxiliary analysis in the mining process.

[0208] The shale oil content and property in-situ visual detection method provided by the embodiments of the present application solves the problems of conventional core original oil content determination, shale oil light hydrocarbon loss and recovery, quantitative analysis of crude oil connectivity, crude oil density, carbon composition and proportion in rock nanoscale pores, establishes an accurate total oil content determination method and a light hydrocarbon loss and recovery curve, realizes accurate determination of total oil content, and provides data support for conventional sampling light hydrocarbon recovery; establishes a rock sample pore crude oil density analysis method at different time points, compares the crude oil density variation characteristics of different types and different diameters of nanoscale pores, establishes a curve equation of the density variation of crude oil in nanoscale pores after light hydrocarbon loss over time, and further can be used to reveal the crude oil occurrence mechanism in nanoscale pores; establishes a rock nanoscale pore crude oil connectivity analysis method, obtains related parameters such as oil-bearing pore connectivity coordination number, and further evaluates the shale oil mining difficulty; establishes a rock sample pore crude oil carbon composition and proportion analysis method at different time points, compares the crude oil carbon composition and proportion variation characteristics of different types and different diameters of nanoscale pores, and further evaluates the pore crude oil properties at the nanoscale; can realize fine evaluation of shale oil light hydrocarbon recovery and nanoscale crude oil property analysis, has very important significance for shale oil resource quantity and recoverable reserve calculation and shale oil effective production, and provides data support for shale reservoir evaluation.

[0209] The following is an apparatus embodiment of the present application, which can be used to execute the method embodiments of the present application. For details not disclosed in the apparatus embodiments of the present application, please refer to the method embodiments of the present application.

[0210] FIG. 13 is a structural schematic diagram of a shale oil content and property in-situ visual detection device provided by an embodiment of the present application. As shown in FIG. 13, the shale oil content and property in-situ visual detection device 130 provided by the embodiment of the present application includes an acquisition unit 131 and a processing unit 132.

[0211] The acquisition unit 131 is configured to acquire relevant experimental data of the rock thin section sample under specific experimental conditions; wherein the specific experimental conditions include specific experimental environmental conditions and specific experimental equipment parameter conditions;

[0212] The processing unit 132 is configured to determine target data according to the relevant experimental data; wherein the target data is used to determine the crude oil properties of shale oil in shale, and the target data includes data of crude oil in non-nanoscale oil-bearing pores and / or data of crude oil in nanoscale oil-bearing pores;

[0213] The data of crude oil in non-nanoscale oil-bearing pores includes one or more of the following: average crude oil volume percentage in non-nanoscale oil-bearing pores, average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, number of light component oil storage units, number of heavy component oil storage units, and crude oil density;

[0214] The data of crude oil in nanoscale oil-bearing pores includes one or more of the following: average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, crude oil density, oil-bearing pore connectivity coordination number, carbon composition, and oil-bearing pore proportion.

[0215] The acquisition unit 131 is specifically configured to:

[0216] At a first time point, collect three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification; the first time point is a time point under a preset low-temperature freezing condition;

[0217] At a plurality of different second time points, collect three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification; the second time point is a time point after the temperature is adjusted to a preset room temperature;

[0218] The first preset magnification is less than the second preset magnification, and the three-dimensional data under the first preset magnification is used to determine the data of crude oil in non-nanoscale oil-bearing pores, and the three-dimensional data under the second preset magnification is used to determine the data of crude oil in nanoscale oil-bearing pores.

[0219] In a possible embodiment, the rock thin section sample is a core drilled from shale under a closed pressure-maintaining condition, the core is stored and transported under a preset liquid nitrogen freezing condition, and the thin section sample is prepared in a preset low-temperature liquid nitrogen vapor environment.

[0220] In a possible embodiment, when the rock thin section sample is analyzed by the laser confocal analysis using the short focal length objective lens with the first preset magnification and / or the second preset magnification, the laser with the first wavelength is selected as the excitation light source, the XYZ scanning mode is selected, the second wavelength to the third wavelength are set as the light component receiving wavelength range, and the wavelength range above the third wavelength is set as the heavy component receiving wavelength range.

[0221] In a possible embodiment, when the rock thin section sample is analyzed by the laser confocal analysis using the short focal length objective lens with the first preset magnification and / or the second preset magnification, the laser with the first wavelength is selected as the excitation light source, the XYZ scanning mode is selected, the second wavelength to the third wavelength are set as the light component receiving wavelength range, and the wavelength range above the third wavelength is set as the heavy component receiving wavelength range.

[0222] In a possible embodiment, when the target data includes the data of the crude oil in the non-nanoscale oil-bearing pore, the rock thin section sample is scanned point by point, line by line, surface by surface, and layer by layer by selecting a plurality of observation fields that meet the preset condition at each time point, and the three-dimensional data corresponding to the plurality of first preset magnifications are collected at each time point. The processing unit 132 is specifically configured to:

[0223] For each time point, the following steps are performed to determine the target data of each time point:

[0224] The three-dimensional data corresponding to each observation field are subjected to volume modeling and surface modeling, the data after the surface modeling are subjected to statistical analysis by using the data statistical function, and the field length, the field width, the field height, the number of oil storage units of the light component, the number of oil storage units of the heavy component, the light component volume and the heavy component volume of the crude oil in each oil storage unit of each observation field are obtained.

[0225] The target data corresponding to each time point are determined according to the field length, the field width, the field height, the number of oil storage units of the light component, the number of oil storage units of the heavy component, the light component volume and the heavy component volume of the crude oil in each oil storage unit of each observation field in each time point.

[0226] In a possible embodiment, the processing unit 132 is specifically configured to:

[0227] For each time point, the sum of the light component volumes of the crude oil in each oil storage unit in each observation field is determined as the light component volume of the crude oil of the observation field, and the sum of the heavy component volumes of the crude oil in each oil storage unit in the observation field is determined as the heavy component volume of the crude oil of the observation field.

[0228] The product of the field length, the field width, and the field height of the observation field is determined as the volume of the observation field.

[0229] determining a percentage value of the crude oil light component volume of the observation field to the volume of the observation field, as a light component volume percentage content of the observation field;

[0230] determining a ratio of the sum of the light component volume percentage contents of the observation fields to the number of the observation fields, as an average light component volume percentage content of the crude oil in the non-nanoscale oil-bearing pore, and determining a ratio of the sum of the heavy component volume percentage contents of the observation fields to the number of the observation fields, as an average heavy component volume percentage content of the crude oil in the non-nanoscale oil-bearing pore;

[0231] determining a sum of the average light component volume percentage content and the average heavy component volume percentage content, as an average crude oil volume percentage content of the crude oil in the non-nanoscale oil-bearing pore, and determining a ratio of the average light component volume percentage content to the average heavy component volume percentage content, as a light-heavy ratio of the crude oil in the non-nanoscale oil-bearing pore;

[0232] determining a sum of the number of the oil storage units of the light component of each observation field, as a light component oil storage unit quantity of the crude oil in the non-nanoscale oil-bearing pore, and determining a sum of the number of the oil storage units of the heavy component of each observation field, as a heavy component oil storage unit quantity of the crude oil in the non-nanoscale oil-bearing pore.

[0233] In a possible embodiment, when the target data includes data of the crude oil in the nanoscale oil-bearing pore, the rock thin section sample is subjected to non-destructive amplification by selecting at least one observation field satisfying a preset condition at each time point until the nanoscale oil-bearing pore can be observed, and the three-dimensional data corresponding to the nanoscale oil-bearing pore at the second preset magnification are collected for each time point, and the processing unit 132 is specifically configured to:

[0234] for each time point, the following steps are performed respectively to determine the target data of each time point:

[0235] the three-dimensional data of the nanoscale oil-bearing pore are subjected to volume modeling and surface modeling, and the data after the surface modeling are subjected to statistical analysis by using a data statistical function to obtain the field length, the field width, the field height, the light component volume and the heavy component volume of the crude oil in each oil storage unit of each nanoscale oil-bearing pore;

[0236] the target data of each time point are determined according to the field length, the field width, the field height, the light component volume and the heavy component volume of the crude oil in each oil storage unit of each nanoscale oil-bearing pore.

[0237] In a possible embodiment, the processing unit 132 is specifically configured to:

[0238] For each time point, the sum of the volumes of the light components of the crude oil in each storage unit in each nanoscale oil-containing pore is determined as the volume of the light components of the crude oil in the nanoscale oil-containing pore; and the sum of the volumes of the heavy components of the crude oil in each storage unit in the nanoscale oil-containing pore is determined as the volume of the heavy components of the crude oil in the nanoscale oil-containing pore;

[0239] The product of the length, the width and the height of the field of view of the nanoscale oil-containing pore is determined as the volume of the nanoscale oil-containing pore;

[0240] The percentage value of the volume of the light components of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore is determined as the percentage content of the light components of the crude oil in the nanoscale oil-containing pore; and the percentage value of the volume of the heavy components of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore is determined as the percentage content of the heavy components of the crude oil in the nanoscale oil-containing pore;

[0241] The ratio of the average volume percentage content of the light components to the average volume percentage content of the heavy components is determined as the light-heavy ratio of the crude oil in the nanoscale oil-containing pore.

[0242] In a possible embodiment, the processing unit 132 is specifically configured to:

[0243] After the three-dimensional data of the nanoscale oil-containing pore is subjected to volume modeling and surface modeling, the nanoscale oil-containing pore is filled by using a preset filling principle of the ball-stick model, and the oil-containing pore coordination number of the nanoscale oil-containing pore is determined.

[0244] In a possible embodiment, when the target data includes the density of the crude oil, the obtaining unit 131 is specifically configured to:

[0245] At the first time point and the plurality of different second time points, laser spectrum data obtained by using the short focal objective lens with the second preset magnification to perform laser confocal analysis on the rock thin section sample is also collected;

[0246] In addition, the peak area normalization method is adopted to perform total hydrocarbon gas chromatography analysis on N groups of different types and different densities of crude oil standard samples, to determine the carbon composition and relative proportion of each crude oil standard sample and the corresponding total hydrocarbon gas chromatography data; wherein N≥40;

[0247] The light component content and the heavy component content of each crude oil standard sample are obtained, and a relationship equation between the light-heavy ratio and the density of the crude oil standard sample is established;

[0248] The laser spectrum data of each crude oil standard sample is collected, and a spectrum peak intensity-wavelength-carbon number coupling graph board of each crude oil standard sample is established.

[0249] In a possible embodiment, the acquisition unit 131 is specifically configured to:

[0250] collect three-dimensional data of the crude oil standard samples of different densities under a preset low-temperature freezing condition by using a short-focus objective lens with a first preset magnification for laser confocal analysis;

[0251] The processing unit 132 is specifically configured to:

[0252] perform volume modeling and surface modeling on the three-dimensional data of the crude oil standard samples of different densities respectively, perform statistical analysis on the data after surface modeling by using a data statistical function, and process to obtain light component content, heavy component content, and a light-heavy ratio of each crude oil standard sample;

[0253] establish a relationship equation between the light-heavy ratio and the density of the crude oil standard samples based on the light-heavy ratio and the density of each crude oil standard sample.

[0254] In a possible embodiment, the acquisition unit 131 is specifically configured to:

[0255] select a fourth-wavelength laser as an excitation light source, select an XYλ scanning mode, set a detection step width as a step width threshold, set a detection waveband as a fifth-wavelength to a sixth-wavelength range, process each crude oil standard sample, and collect laser spectrum data of each crude oil standard sample.

[0256] In a possible embodiment, the acquisition unit 131 is specifically configured to:

[0257] select a 488-nm wavelength laser as an excitation light source, select an XYλ scanning mode, set a detection step width as 3 nm, set a detection waveband as a 500-nm to 800-nm range, process each crude oil standard sample, and collect laser spectrum data of each crude oil standard sample.

[0258] In a possible embodiment, the processing unit 132 is specifically configured to:

[0259] establish a spectrum peak intensity-wavelength-carbon number coupling graph sheet of each crude oil standard sample according to carbon composition and a relative proportion of each crude oil standard sample, corresponding total hydrocarbon gas chromatogram data, and laser spectrum data.

[0260] In a possible embodiment, the processing unit 132 is specifically configured to:

[0261] For each crude oil standard sample, export a file containing laser spectrum data of the crude oil standard sample from a local file, extract wavelengths and intensities in the laser spectrum data of the crude oil standard sample, and perform list processing;

[0262] The wavelength and intensity of the list processing are subjected to percentage processing and tailing processing, and the wavelength and intensity after percentage processing and tailing processing are written into a file for export;

[0263] The wavelength and intensity after percentage processing and tailing processing are subjected to percentage processing and tailing processing, and the wavelength and intensity after percentage processing and tailing processing are written into a file for export;

[0264] The wavelength and intensity after percentage processing and tailing processing are subjected to percentage processing and tailing processing, and the wavelength and intensity after percentage processing and tailing processing are written into a file for export;

[0265] The wavelength and intensity after percentage processing and tailing processing are subjected to percentage processing and tailing processing, and the wavelength and intensity after percentage processing and tailing processing are written into a file for export;

[0266] In a possible embodiment, the processing unit 132 is specifically configured to:

[0267] The wavelength and intensity after percentage processing and tailing processing are subjected to percentage processing and tailing processing, and the wavelength and intensity after percentage processing and tailing processing are written into a file for export;

[0268] In a possible embodiment, the processing unit 132 is specifically configured to:

[0269] The wavelength and intensity after percentage processing and tailing processing are subjected to percentage processing and tailing processing, and the wavelength and intensity after percentage processing and tailing processing are written into a file for export;

[0270] The wavelength and intensity after percentage processing and tailing processing are subjected to percentage processing and tailing processing, and the wavelength and intensity after percentage processing and tailing processing are written into a file for export;

[0271] In a possible embodiment, the processing unit 132 is specifically configured to:

[0272] The wavelength and intensity after percentage processing and tailing processing are subjected to percentage processing and tailing processing, and the wavelength and intensity after percentage processing and tailing processing are written into a file for export;

[0273] In a possible implementation, the processing unit 132 is specifically configured to:

[0274] The collected rock thin section sample is subjected to laser confocal analysis to obtain laser spectrum data.

[0275] The laser spectrum data of the collected rock thin section sample is compared with the spectrum peak intensity-wavelength-carbon number coupling graph of each crude oil standard sample to determine the carbon composition and proportion of the crude oil in the nanoscale pores of the corresponding collection area of the collected rock thin section sample.

[0276] In a possible implementation, the processing unit 132 is specifically configured to:

[0277] When the target data includes one or more of the data of the crude oil in the non-nanoscale oil-containing pores and / or the average volume percentage content of the light component, the average volume percentage content of the heavy component, the light-heavy ratio, and the crude oil density of the crude oil in the nanoscale oil-containing pores, the method further includes:

[0278] A change curve of the target data with respect to the corresponding time point is established, and an equation corresponding to the change curve is determined, as a curve equation of the change of the target data with respect to time.

[0279] In a possible implementation, the processing unit 132 is specifically configured to:

[0280] According to the curve equation of the change of the target data with respect to time, the corresponding target data of the starting time point is predicted, and the starting time point represents the time when the rock thin section sample is not collected.

[0281] In a possible implementation, the specific experimental environment condition at least includes maintaining a preset low-temperature refrigeration condition during the entire experiment.

[0282] In a possible implementation, the processing unit 132 is further configured to:

[0283] The target data is rendered and displayed.

[0284] The device provided in this embodiment can be used to execute the method of the above-described embodiments, and has similar implementation principles and technical effects, which will not be described here again.

[0285] It should be noted that the division of each module of the above apparatus is only a logical function division, and all or part of the physical entity can be integrated when actually implemented, or can be physically separated. And these modules can all be realized in the form of software called by a processing element; all can be realized in the form of hardware; some modules can be realized in the form of software called by a processing element, and some modules can be realized in the form of hardware. In addition, the functions of the above data processing modules can also be stored in the form of program code in the memory of the above apparatus, and called and executed by a processing element of the above apparatus. The implementation of other modules is similar. In addition, all or part of these modules can be integrated together, or can be independently implemented. The processing element here can be an integrated circuit with signal processing capability. In the implementation process, each step of the above method or each module can be completed by integrated logic circuit of hardware in the processor element or instruction in the form of software.

[0286] FIG. 14 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. As shown in FIG. 14, the electronic device 140 includes a processor 141 and a memory 142 in communication connection with the processor.

[0287] The memory 142 stores computer execution instructions, and the processor 141 executes the computer execution instructions stored in the memory 142 to implement the method of any one of the preceding embodiments.

[0288] In the specific implementation of the above electronic device, it should be understood that the processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The method disclosed in combination with the embodiments of the present application can be directly embodied as hardware processor execution completion, or executed by hardware and software modules in the processor.

[0289] The embodiment of the present application further provides a computer readable storage medium, which stores computer execution instructions, and the computer execution instructions are executed by a processor to implement the method of any one of the preceding embodiments.

[0290] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by computer instruction related hardware. The foregoing program can be stored in a computer readable storage medium. The program, when executed, performs steps including the above-mentioned method embodiments; and the foregoing storage medium includes: ROM, RAM, magnetic disk or optical disk and various media that can store program codes.

[0291] The embodiments of the present application also provide a computer program product, comprising a computer program, which is executed by a processor to implement the method of any of the preceding.

[0292] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0293] It should be understood that the application is not limited to the precise construction that has been described above and shown in the accompanying drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is limited only by the appended claims.

Claims

1. A method for in-situ visual detection of shale oil content and properties, characterized in that, The method comprises: obtaining relevant experimental data of a rock thin section sample under specific experimental conditions; wherein the specific experimental conditions include specific experimental environmental conditions and specific experimental equipment parameter conditions; determining target data according to the relevant experimental data; wherein the target data is used to determine the crude oil properties of shale oil in shale, and the target data includes data of crude oil in non-nanoscale oil-bearing pores and / or data of crude oil in nanoscale oil-bearing pores; the data of crude oil in non-nanoscale oil-bearing pores includes one or more of the following: average crude oil volume percentage in non-nanoscale oil-bearing pores, average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, number of light component oil storage units, number of heavy component oil storage units, and crude oil density; the data of crude oil in nanoscale oil-bearing pores includes one or more of the following: average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, crude oil density, oil-bearing pore connectivity coordination number, carbon composition, and oil-bearing pore proportion; wherein the obtaining of the relevant experimental data of the rock thin section sample under the specific experimental conditions comprises: at a first time point, collecting three-dimensional data obtained by laser confocal analysis of the rock thin section sample using a short focus objective with a first preset magnification and / or a second preset magnification; the first time point is a time point under a preset low-temperature freezing condition; at a plurality of different second time points, collecting three-dimensional data obtained by laser confocal analysis of the rock thin section sample using a short focus objective with a first preset magnification and / or a second preset magnification; the second time point is a time point after the temperature is adjusted to a preset room temperature; wherein the first preset magnification is less than the second preset magnification, and the three-dimensional data under the first preset magnification is used to determine the data of crude oil in non-nanoscale oil-bearing pores, and the three-dimensional data under the second preset magnification is used to determine the data of crude oil in nanoscale oil-bearing pores.

2. The method of claim 1, wherein, The rock thin section sample is a core drilled from shale under airtight pressure preservation condition, and the core is preserved and transported under a preset liquid nitrogen freezing condition, and the thin section sample is prepared in a preset low-temperature liquid nitrogen vapor environment.

3. The method of claim 1, wherein, When laser confocal analysis of the rock thin section sample is performed using a short focus objective with a first preset magnification and / or a second preset magnification, a laser with a first wavelength is selected as an excitation light source, an XYZ scanning mode is selected, a second wavelength to a third wavelength is set as a light component receiving wavelength band, and a wavelength band above the third wavelength is set as a heavy component receiving wavelength band.

4. The method of claim 3, wherein, When laser confocal analysis of the rock thin section sample is performed using a short focus objective with a first preset magnification and / or a second preset magnification, a laser with a wavelength of 488 nm is selected as an excitation light source, an XYZ scanning mode is selected, a wavelength band of 500 nm to 550 nm is set as a light component receiving wavelength band, and a wavelength band above 550 nm is set as a heavy component receiving wavelength band.

5. The method of claim 4, wherein, When the target data comprises data of crude oil in non-nanoscale oil-bearing pores, a plurality of observation fields satisfying preset conditions are selected at each time point, and the rock thin section sample is scanned point by point, line by line, surface by surface and layer by layer, and three-dimensional data corresponding to a plurality of first preset multiples are collected at each time point. The target data is determined according to the related experimental data, and the target data comprises: For each time point, the following steps are performed respectively to determine the target data of each time point: For each observation field, three-dimensional data corresponding to the observation field are subjected to volume modeling and surface modeling, and statistical analysis is performed on the data after surface modeling by using a data statistical function to obtain the field length, field width, field height, number of oil storage units of light components, number of oil storage units of heavy components, light component volume and heavy component volume of crude oil in each oil storage unit of each observation field; According to the field length, field width, field height, number of oil storage units of light components, number of oil storage units of heavy components, light component volume and heavy component volume of crude oil in each oil storage unit of each observation field at each time point, the target data corresponding to each time point is determined.

6. The method of claim 5, wherein, According to the field length, field width, field height, number of oil storage units of light components, number of oil storage units of heavy components, light component volume and heavy component volume of crude oil in each oil storage unit of each observation field at each time point, the target data corresponding to each time point is determined, comprising: For each time point, the sum of the light component volumes of crude oil in each oil storage unit in each observation field is determined as the light component volume of crude oil of the observation field; and the sum of the heavy component volumes of crude oil in each oil storage unit in the observation field is determined as the heavy component volume of crude oil of the observation field; The product of the field length, field width and field height of the observation field is determined as the volume of the observation field; The percentage value of the light component volume of crude oil of the observation field to the volume of the observation field is determined as the light component volume percentage content of the observation field; and the percentage value of the heavy component volume of crude oil of the observation field to the volume of the observation field is determined as the heavy component volume percentage content of the observation field; The ratio of the sum of the light component volume percentage contents of all observation fields to the number of fields is determined as the average light component volume percentage content of crude oil in the non-nanoscale oil-bearing pores; and the ratio of the sum of the heavy component volume percentage contents of all observation fields to the number of fields is determined as the average heavy component volume percentage content of crude oil in the non-nanoscale oil-bearing pores; The sum of the average light component volume percentage content and the average heavy component volume percentage content is determined as the average crude oil volume percentage content of crude oil in the non-nanoscale oil-bearing pores; and the ratio of the average light component volume percentage content to the average heavy component volume percentage content is determined as the light-heavy ratio of crude oil in the non-nanoscale oil-bearing pores. The sum of the number of oil storage units of the light component in each observation field of view is determined as the number of oil storage units of the light component of the crude oil in the non-nanoscale oil-containing pore.

7. The method of claim 4, wherein, When the target data includes data of the crude oil in the nanoscale oil-containing pore, at each time point, at least one observation field of view meeting the preset condition is selected to perform non-destructive amplification on the rock thin section sample until the nanoscale oil-containing pore can be observed, and the three-dimensional data corresponding to the nanoscale oil-containing pore meeting the preset condition at the second preset multiple is collected at each time point. The target data at each time point is determined according to the related experimental data, including: For each time point, the following steps are performed respectively to determine the target data at each time point: The three-dimensional data of the nanoscale oil-containing pore is subjected to volume modeling and surface modeling, and statistical analysis is performed on the data after surface modeling by using a data statistical function to obtain the field of view length, field of view width, field of view height, light component volume and heavy component volume of the crude oil in each oil storage unit of each nanoscale oil-containing pore; The target data at each time point is determined according to the field of view length, field of view width, field of view height, light component volume and heavy component volume of the crude oil in each oil storage unit of each nanoscale oil-containing pore.

8. The method of claim 7, wherein, The target data at each time point is determined according to the field of view length, field of view width, field of view height, light component volume and heavy component volume of the crude oil in each oil storage unit of each nanoscale oil-containing pore, including: For each time point, the sum of the light component volume of the crude oil in each oil storage unit of each nanoscale oil-containing pore is determined as the light component volume of the crude oil in the nanoscale oil-containing pore, and the sum of the heavy component volume of the crude oil in each oil storage unit of the nanoscale oil-containing pore is determined as the heavy component volume of the crude oil in the nanoscale oil-containing pore; The product of the field of view length, field of view width and field of view height of the nanoscale oil-containing pore is determined as the volume of the nanoscale oil-containing pore; The percentage value of the light component volume of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore is determined as the light component volume percentage content of the crude oil in the nanoscale oil-containing pore, and the percentage value of the heavy component volume of the crude oil in the nanoscale oil-containing pore to the volume of the nanoscale oil-containing pore is determined as the heavy component volume percentage content of the crude oil in the nanoscale oil-containing pore; The ratio of the average light component volume percentage content to the average heavy component volume percentage content is determined as the light-heavy ratio of the crude oil in the nanoscale oil-containing pore.

9. The method of claim 7, wherein, The three-dimensional data corresponding to the nanoscale oil-containing pore meeting the preset condition at the second preset multiple collected at each time point, after the volume modeling and surface modeling of the three-dimensional data of the nanoscale oil-containing pore, the method further includes: The nanoscale oil-containing pore is filled by using a preset filling principle of the ball-stick model to determine the oil-containing pore connectivity coordination number of the nanoscale oil-containing pore.

10. The method according to any one of claims 1-9, characterized in that, When the target data includes the density of the crude oil, the obtaining of the related experimental data of the rock thin section sample under specific experimental conditions further includes: At the first time point and a plurality of different second time points, laser spectrum data of laser confocal analysis of the rock thin section sample using a second preset magnification short focal length objective lens is also collected; In addition, peak area normalization method is adopted to perform full hydrocarbon gas chromatography analysis on N groups of different types and different density of crude oil standard samples, to determine the carbon composition and relative proportion of each crude oil standard sample and corresponding full hydrocarbon gas chromatography data; wherein N≥40; The light component content and heavy component content of each crude oil standard sample are obtained, and a relationship equation between the light-heavy ratio and the density of the crude oil standard sample is established. The laser spectrum data of each crude oil standard sample is collected, and a spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established.

11. The method of claim 10, wherein, The light component content and heavy component content of each crude oil standard sample are obtained, and a relationship equation between the light-heavy ratio and the density of the crude oil standard sample is established. The three-dimensional data obtained by using a first preset magnification short focal length objective lens to perform laser confocal analysis on different density of crude oil standard samples under a preset low temperature freezing condition is collected; The three-dimensional data of different density of crude oil standard samples are respectively subjected to volume modeling and surface modeling, and statistical analysis is performed on the data after surface modeling by using data statistical function, to obtain the light component content, heavy component content and light-heavy ratio of each crude oil standard sample; Based on the light-heavy ratio and the density of each crude oil standard sample, a relationship equation between the light-heavy ratio and the density of the crude oil standard sample is established.

12. The method of claim 10, wherein, The laser spectrum data of each crude oil standard sample is collected, including: A fourth wavelength laser is selected as an excitation light source, an XYλ scanning mode is selected, a detection step width is set as a step width threshold, a detection wave band is set as a fifth wavelength to a sixth wavelength range, each crude oil standard sample is processed, and the laser spectrum data of each crude oil standard sample is collected.

13. The method of claim 12, wherein, The laser spectrum data of each crude oil standard sample is collected, including: A 488nm wavelength laser is selected as an excitation light source, an XYλ scanning mode is selected, a detection step width is set as 3nm, a detection wave band is set as a 500nm-800nm range, each crude oil standard sample is processed, and the laser spectrum data of each crude oil standard sample is collected.

14. The method of claim 13, wherein, The spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established, including: According to the carbon composition and relative proportion of each crude oil standard sample, the corresponding full hydrocarbon gas chromatography data and the laser spectrum data, the spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established.

15. The method of claim 14, wherein, According to the carbon composition and relative proportion of each crude oil standard sample, the corresponding full hydrocarbon gas chromatography data and the laser spectrum data, the spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established, including: For each crude oil standard sample, a file containing the laser spectrum data of the crude oil standard sample is exported from a local file, the wavelength and intensity in the laser spectrum data of the crude oil standard sample are extracted and subjected to list processing; The wavelength and intensity subjected to list processing are subjected to percentage processing and tail removal processing, and the wavelength and intensity subjected to percentage processing and tail removal processing are written into a file and exported; Adopting a multi-trapezoidal area calculation method, based on the wavelength and intensity after percentage processing and de-tailing processing, the scatter area used for comparison with carbon components is calculated; By gradually expanding the scatter area calculation range, when the proportion of the calculated scatter area of the carbon component in the total area reaches the relative proportion of the carbon component, the corresponding wavelength is recorded to determine the wavelength range of the carbon component, and the wavelength range of each carbon component of the crude oil standard sample is determined; Based on the wavelength range of each carbon component of each crude oil standard sample and the corresponding total hydrocarbon gas chromatography data, a spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established.

16. The method of claim 15, wherein, Based on the wavelength range of each carbon component of each crude oil standard sample and the corresponding total hydrocarbon gas chromatography data, a spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample is established, including: For each crude oil standard sample, the laser spectrum peak intensity of the crude oil standard sample is fitted into an equation with the wavelength range of each carbon component of the crude oil standard sample, and the fitted equation is fitted again with the corresponding total hydrocarbon gas chromatography data to obtain the spectrum peak intensity-wavelength-carbon number coupling relationship chart of the crude oil standard sample.

17. The method of claim 10 or 11, wherein, The method further comprises: The light-heavy ratio of the crude oil in the non-nanoscale oil-containing pore of the rock thin section sample obtained at each time point is respectively brought into the relationship equation of the light-heavy ratio and the density of the crude oil standard sample to determine the density of the crude oil in the non-nanoscale oil-containing pore of the rock thin section sample at each time point. The light-heavy ratio of the crude oil in the nanoscale oil-containing pore of the rock thin section sample obtained at each time point is respectively brought into the relationship equation of the light-heavy ratio and the density of the crude oil standard sample to determine the density of the crude oil in the nanoscale oil-containing pore of the rock thin section sample at each time point.

18. The method of any one of claims 10, 12-16, wherein, The method further comprises: The laser spectrum data collected by using a second preset multiple short focal objective lens to carry out laser confocal analysis on the rock thin section sample at each time point is respectively brought into the spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample for comparison to determine the change of the carbon composition and proportion of the light hydrocarbon loss of the crude oil in the nanoscale pore over time.

19. The method of claim 18, wherein, The method further comprises: The laser spectrum data collected by using a second preset multiple short focal objective lens to carry out laser confocal analysis on the rock thin section sample at each time point is respectively brought into the spectrum peak intensity-wavelength-carbon number coupling relationship chart of each crude oil standard sample for comparison to determine the carbon composition and proportion of the light hydrocarbon loss of the crude oil in the nanoscale pore at the initial time; the initial time point represents the time when the rock thin section sample is not collected.

20. The method of any one of claims 1-19, wherein, When the target data includes one or more of the data of the crude oil in the non-nanoscale oil-containing pore, and / or one or more of the light component average volume percentage, the heavy component average volume percentage, the light-heavy ratio, and the crude oil density in the data of the crude oil in the nanoscale oil-containing pore, the method further comprises: establishing a change curve of the target data with respect to a corresponding time point, determining an equation corresponding to the change curve, and determining a curve equation of the target data with respect to time.

21. The method of claim 20, wherein, The method further comprises: predicting the target data corresponding to a starting time point according to the curve equation of the target data with respect to time; the starting time point represents a time when the rock thin section sample is not collected.

22. The method of any one of claims 1-21, wherein, The specific experimental environmental conditions at least include maintaining the preset low-temperature freezing condition during the entire experiment.

23. The method of any one of claims 1-22, wherein, The method further comprises: rendering and displaying the target data.

24. A device for visualizing in-situ detection of shale oil content and properties, characterized by, The device comprises: an acquisition unit configured to acquire relevant experimental data of a rock thin section sample under specific experimental conditions; wherein the specific experimental conditions comprise specific experimental environmental conditions and specific experimental equipment parameter conditions; a processing unit configured to determine target data according to the relevant experimental data; wherein the target data is used to determine the crude oil properties of shale oil in the shale, and the target data comprises data of crude oil in non-nanoscale oil-bearing pores and / or data of crude oil in nanoscale oil-bearing pores; the data of crude oil in non-nanoscale oil-bearing pores comprises one or more of the following: average crude oil volume percentage in non-nanoscale oil-bearing pores, average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, number of light component storage units, number of heavy component storage units, and crude oil density; the data of crude oil in nanoscale oil-bearing pores comprises one or more of the following: average volume percentage of light components, average volume percentage of heavy components, light-heavy ratio, crude oil density, oil-bearing pore connectivity coordination number, carbon composition, and proportion; wherein the acquisition of the relevant experimental data of the rock thin section sample under the specific experimental conditions comprises: at a first time point, collecting three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification; the first time point is a time point under a preset low-temperature freezing condition; at a plurality of different second time points, collecting three-dimensional data obtained by performing laser confocal analysis on the rock thin section sample using a short focal objective lens with a first preset magnification and / or a second preset magnification; the second time points are time points after the temperature is adjusted to a preset room temperature; wherein the first preset magnification is less than the second preset magnification, the three-dimensional data under the first preset magnification is used to determine the data of crude oil in non-nanoscale oil-bearing pores, and the three-dimensional data under the second preset magnification is used to determine the data of crude oil in nanoscale oil-bearing pores.

25. An electronic device, comprising: The electronic device comprises a processor and a memory connected in communication with the processor; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory to implement the method of any one of claims 1-23.

26. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to implement the method of any one of claims 1-23.

27. A computer program product, characterised in that, A computer program comprising computer program elements that, when executed by a processor, perform the method of any of claims 1-23. A computer program comprising computer program elements that, when executed by a processor, perform the method of any of claims 1-23.

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