A multi-information fusion characterization method for oil-rich pores of continental shale oil

Abstract

The present application provides a kind of continental shale oil rich oil pore multi-information fusion characterization method, belongs to pore characterization technical field, specifically includes the following steps: step 1: construct the micro rock mineral-lamination model of shale oil reservoir;Step 2: construct the micro fluorescence distribution model of shale oil sample;Step 3: construct the micro rock mineral-lamination-fluorescence distribution model of shale oil;Step 4: construct the rock mineral-lamination-fluorescence-pore multi-information rich oil pore mode.The present application accurately and effectively fuses shale oil reservoir rock mineral information, pore information and oiliness information, obtains the oiliness information of different genetic types of shale oil pores, and clearly defines the type, cause and distribution of rich oil pores, which has important reference significance for the optimization of favorable intervals of shale oil, and the process is efficient, convenient and low in cost.

Description

Technical Field

[0001] This invention relates to the fields of oil and gas geological exploration technology and pore characterization technology, and in particular to a multi-information fusion characterization method for oil-rich pores in continental shale oil. Background Technology

[0002] my country's shale oil reservoirs are formed in various types of shale formations, including Mesozoic and Cenozoic continental lacustrine basins, terrigenous, intraclastic, and mixed sedimentary / tuff strata. Due to the large variation in lacustrine sedimentary environments, different lithologies of shale formations are frequently interbedded, making it difficult to characterize the micropores of shale oil reservoirs, especially the micropores rich in oil.

[0003] Characterization techniques for the oil-bearing properties of shale oil pores can be summarized as follows: direct measurement methods, such as rock pyrolysis analysis and Soxhlet extraction; and indirect observation methods, such as fluorescence observation and laser scanning confocal scanning. These methods can quantitatively or semi-quantitatively obtain parameters related to the oil-bearing properties of shale oil samples. Characterization techniques for the pore structure of shale oil can be summarized as follows: direct measurement methods, such as nitrogen adsorption, mercury intrusion porosimetry, nuclear magnetic resonance, CT scanning, and small-angle neutron scattering; and indirect observation methods, such as thin section casting and argon ion radioscopy combined with field emission scanning electron microscopy. These methods can only obtain pore structure parameters such as pore type and pore size. The poor integration of these methods limits the study of the microscopic characteristics of shale oil reservoirs.

[0004] Therefore, effectively integrating the oil-bearing information and micropore information of shale oil, accurately identifying oil-rich pores, and clarifying the causes and distribution of oil-rich pores are crucial for shale oil exploration and development. Summary of the Invention

[0005] This invention provides a multi-information fusion characterization method for oil-rich pores in continental shale oil, which can effectively integrate the oil-bearing information and micro-pore information of shale oil to accurately identify oil-rich pores and clarify their formation and distribution. The obtained information on the type and distribution of oil-rich pores in shale oil can provide a basis for the selection of favorable strata during the exploration and development process.

[0006] This invention discloses a multi-information fusion characterization method for oil-rich porosity in continental shale oil, comprising the following steps:

[0007] Step 1: Construct a microscopic rock and mineral-lamination model of shale oil reservoirs;

[0008] Specifically, the process involves collecting fresh shale oil core samples, grinding multifunctional thin sections, performing thin section analysis, and conducting single-polarized light-orthogonal light rock and mineral tests to obtain parameters such as the type, content, morphology, occurrence, layering, single-layer thickness, and contact relationship of physical and chemical precipitated minerals and biogenic components, in order to construct a microscopic rock and mineral-laminated model.

[0009] Step 2: Construct a microscopic fluorescence distribution model for shale oil samples;

[0010] Specifically, based on shale oil samples, micro-fluorescence experiments were conducted to obtain microscopic fluorescence images of shale oil reservoirs. The micro-fluorescence images of continuous fields of view were continuously stitched together to form large-scale micro-fluorescence images. Micro-fluorescence extraction was carried out to obtain fluorescence intensity, fluorescence color, fluorescence position, and contact relationship of different luminescence sites, so as to construct a micro-fluorescence distribution model.

[0011] Step 3: Construct a microscopic rock mineral-lamella-fluorescence distribution model for shale oil;

[0012] Specifically, based on the microscopic rock and mineral-lamellar model and the microscopic fluorescence distribution model in the same field of view, the same field of view image overlay fusion is carried out to obtain the distribution location, relative content and hydrocarbon component parameters of shale oil in the microscopic rock and mineral-lamellar model, so as to construct the microscopic rock and mineral-lamellar-fluorescence distribution model.

[0013] Step 4: Construct a multi-information oil-rich pore model based on rock and mineral composition, lamination, fluorescence, and porosity;

[0014] Specifically, based on the microscopic rock-mineral-laminated-fluorescence distribution model, oil-rich areas are selected, and multifunctional thin section, in-situ argon ion radiograph, field emission electron microscopy, and energy dispersive spectroscopy experiments are conducted to obtain the pore type, aspect ratio, roundness, convexity, and area parameters of the oil-rich areas, as well as the types of authigenic minerals and host rock minerals precipitated in the pores and information on the genesis of the pores. This is to construct a multi-information oil-rich pore model of rock-mineral-laminated-fluorescence-pore, and to use this model to characterize the oil-rich pores of continental shale oil.

[0015] In some embodiments, in step 1, fresh shale oil core samples are collected, multifunctional thin sections with a thickness of 0.04 mm are ground, and stained with alizarin red-potassium ferricyanide mixed staining agent to identify carbonate minerals.

[0016] In some embodiments, in step 1, a single-polarized light-orthogonal light rock and mineral test is conducted using a polarizing microscope to obtain continuous field-of-view rock and mineral images, which are then stitched together to form large-scale single-polarized light and orthogonal light images. Based on the large-scale single-polarized light and orthogonal light images, rock components are classified, and the contents of clay, quartz, feldspar, shell, authigenic quartz, and authigenic carbonate minerals in shale oil reservoirs are identified and counted. The stratification of different components is identified, and the thickness of single-layer laminations and the contact relationship between different layers are counted. The types, contents, morphologies, occurrences, stratification, single-layer thicknesses, and contact relationship parameters of physical and chemical precipitated minerals and biogenic components are obtained to construct a microscopic rock and mineral-laminated model.

[0017] In some embodiments, the specific process of microscopic fluorescence extraction in step 2 is as follows:

[0018] Large-scale microscopic fluorescence images are segmented, and regions with microscopic fluorescence reactions are extracted based on the intensity of microscopic fluorescence. Non-fluorescent regions are removed, and images containing only fluorescence are obtained. Fluorescence intensity, fluorescence color, fluorescence location, fluorescence area, and contact relationships of different luminescent sites are statistically analyzed to construct a microscopic fluorescence distribution model.

[0019] In some embodiments, the specific process of performing multifunctional thin-film, in-situ argon-ion cross-section, field emission electron microscopy, and energy dispersive spectroscopy experiments in step 4 is as follows:

[0020] Oil-rich areas were selected and marked on multifunctional thin films. The marked locations were then subjected to in-situ argon ion cutting using a three-ion beam cutter.

[0021] Field emission electron microscopy experiments were conducted to obtain electron microscopic images of the marked oil-rich regions, and the pore type, aspect ratio, roundness, convexity, and area parameters of the oil-rich regions were analyzed.

[0022] Energy dispersive spectroscopy (EDS) experiments were conducted to obtain information on the types of authigenic minerals precipitated in the pores and the minerals in the surrounding rocks, as well as the genesis of the pores.

[0023] In summary, the present invention has at least the following beneficial effects:

[0024] This invention accurately and effectively integrates shale oil reservoir rock and mineral information, porosity information, and oil-bearing information to obtain oil-bearing information of pores of different genesis types in shale oil, clarify the type, origin, and distribution of oil-rich pores, and has important reference significance for the selection of favorable shale oil intervals. Moreover, the process is efficient, convenient, and low-cost. Attached Figure Description

[0025] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a schematic diagram illustrating the steps of the multi-information fusion characterization method for oil-rich pores in continental shale oil involved in this invention.

[0027] Figure 2 This is a flowchart illustrating the multi-information fusion characterization method for oil-rich pores in continental shale oil involved in this invention.

[0028] Figure 3 This is a schematic diagram of the original single-polarized light image of the rock-mineral-layer model involved in this invention.

[0029] Figure 4This is a schematic diagram of the original microscopic fluorescence image involved in this invention.

[0030] Figure 5 This is a schematic diagram of the microscopic fluorescence processing image involved in this invention.

[0031] Figure 6 This is a schematic diagram of the microscopic rock mineral-lamella-fluorescence distribution involved in this invention.

[0032] Figure 7 This is a schematic diagram of the morphological parameters involved in this invention.

[0033] Figure 8 This is a schematic diagram of the oil-rich pores in continental shale oil involved in this invention. Detailed Implementation

[0034] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the embodiments of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0035] The following disclosure provides many different implementations or examples for carrying out different structures of the embodiments of the present invention. To simplify the disclosure of the embodiments of the present invention, specific examples of components and arrangements are described below. Of course, these are merely examples and are not intended to limit the embodiments of the present invention. Furthermore, reference numerals and / or reference letters may be repeated in different examples of the embodiments of the present invention; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various implementations and / or arrangements discussed.

[0036] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0037] like Figure 1 and Figure 2 As shown in the figure, this invention discloses a multi-information fusion characterization method for oil-rich porosity in continental shale oil, comprising the following steps:

[0038] Step 1: Construct a microscopic rock and mineral-lamination model of shale oil reservoirs;

[0039] Specifically, the process involves collecting fresh shale oil core samples, grinding multifunctional thin sections, performing thin section analysis, and conducting single-polarized light-orthogonal light rock and mineral tests to obtain parameters such as the type, content, morphology, occurrence, layering, single-layer thickness, and contact relationship of physical and chemical precipitated minerals and biogenic components, in order to construct a microscopic rock and mineral-laminated model.

[0040] In some embodiments, in step 1, fresh shale oil core samples are collected, multifunctional thin sections with a thickness of 0.04 mm are ground, and stained with alizarin red-potassium ferricyanide mixed staining agent to identify carbonate minerals.

[0041] In some embodiments, in step 1, a single-polarized light-orthogonal light rock and mineral test is conducted using a polarizing microscope to obtain continuous field-of-view rock and mineral images, which are then stitched together to form large-scale single-polarized light and orthogonal light images. Based on the large-scale single-polarized light and orthogonal light images, rock components are classified, and the contents of clay, quartz, feldspar, shell, authigenic quartz, and authigenic carbonate minerals in shale oil reservoirs are identified and counted. The stratification of different components is identified, and the thickness of single-layer laminations and the contact relationship between different layers are counted. The types, contents, morphologies, occurrences, stratification, single-layer thicknesses, and contact relationship parameters of physical and chemical precipitated minerals and biogenic components are obtained to construct a microscopic rock and mineral-laminated model.

[0042] Step 2: Construct a microscopic fluorescence distribution model for shale oil samples;

[0043] Specifically, based on shale oil samples, micro-fluorescence experiments were conducted to obtain microscopic fluorescence images of the shale oil reservoir. These images were then continuously stitched together to form a large-scale microscopic fluorescence image. Microscopic fluorescence extraction was performed to obtain fluorescence intensity, color, location, and contact relationships between different luminescent sites. This process was used to construct a microscopic fluorescence distribution model.

[0044] In some embodiments, the specific process of microscopic fluorescence extraction in step 2 is as follows:

[0045] Using ImageJ software, large-scale micro-fluorescence images were segmented. Based on the intensity of micro-fluorescence, regions with micro-fluorescence reactions were extracted, non-fluorescent regions were removed, and images with only fluorescence were obtained. The fluorescence intensity, fluorescence color, fluorescence location, fluorescence area, and contact relationship of different luminescent sites were statistically analyzed to construct a micro-fluorescence distribution model.

[0046] Step 3: Construct a microscopic rock mineral-lamella-fluorescence distribution model for shale oil;

[0047] Specifically, based on the microscopic rock and mineral-lamellar model and the microscopic fluorescence distribution model in the same field of view, the same field of view image overlay fusion is carried out to obtain the distribution location, relative content and hydrocarbon component parameters of shale oil in the microscopic rock and mineral-lamellar model, so as to construct the microscopic rock and mineral-lamellar-fluorescence distribution model.

[0048] Step 4: Construct a multi-information oil-rich pore model based on rock and mineral composition, lamination, fluorescence, and porosity;

[0049] Specifically, based on the microscopic rock-mineral-laminated-fluorescence distribution model, oil-rich areas are selected, and multifunctional thin section, in-situ argon ion radiograph, field emission electron microscopy, and energy dispersive spectroscopy experiments are conducted to obtain the pore type, aspect ratio, roundness, convexity, and area parameters of the oil-rich areas, as well as the types of authigenic minerals and host rock minerals precipitated in the pores and information on the genesis of the pores. This is to construct a multi-information oil-rich pore model of rock-mineral-laminated-fluorescence-pore, and to use this model to characterize the oil-rich pores of continental shale oil.

[0050] In some embodiments, the specific process of performing multifunctional thin-film, in-situ argon-ion cross-section, field emission electron microscopy, and energy dispersive spectroscopy experiments in step 4 is as follows:

[0051] Oil-rich areas were selected and marked on multifunctional thin films. The marked locations were then subjected to in-situ argon ion cutting using a three-ion beam cutter.

[0052] Field emission electron microscopy experiments were conducted to obtain electron microscopic images of the marked oil-rich regions, and the pore type, aspect ratio, roundness, convexity, and area parameters of the oil-rich regions were analyzed.

[0053] Energy dispersive spectroscopy (EDS) experiments were conducted to obtain information on the types of authigenic minerals precipitated in the pores and the minerals in the surrounding rocks, as well as the genesis of the pores.

[0054] To more clearly illustrate the technical solution of the present invention, the inventive concept process of the present invention is as follows:

[0055] The inventor discovered through research that:

[0056] Feng Guoqi et al. used experiments such as microscopic thin section observation, rock pyrolysis, low-temperature nitrogen adsorption, shale oil adsorption experiments, high-pressure mercury intrusion, and nuclear magnetic resonance to determine the main controlling factors of shale oil component content distribution and enrichment characteristics in shale oil enrichment sections, as well as the influencing factors of shale oil mobility. They also determined that shale oil reservoir space types include clay mineral intercrystalline pores and calcite intercrystalline pores, among which clay mineral intercrystalline pores are the main pore type. The lower the clay mineral content, the better the shale oil mobility.

[0057] This study investigated oil content, mobility, and pore type separately, but did not clarify the differences in oil content between different types of pores.

[0058] Source: Feng Guoqi, Li Jijun, Liu Jiewen, et al. Study on the enrichment and mobility of shale oil in Biyang Depression [J]. Petroleum and Natural Gas Geology, 2019, Vol. 40 (6): 1236-1246.

[0059] Pang Zhenglian et al. used core analysis, casting, fluorescence thin section identification, and field emission scanning electron microscopy to qualitatively study the microscopic characteristics of the reservoir in the Da'anzhai section of the Jurassic system in the central Sichuan Basin. Simultaneously, they used mercury intrusion porosimetry, nano-CT, and nitrogen adsorption to quantitatively characterize the reservoir space size and morphology of the Da'anzhai section reservoir. They classified the reservoir rocks into 9 categories and the reservoir spaces into 4 major categories and 14 subcategories. The results revealed that the Da'anzhai section reservoir is dominated by nanometer-scale reservoir spaces, with low resource abundance, small well-controlled reserves, and low production characteristics. However, the micrometer-scale reservoir spaces, mainly composed of fractures, and the nanometer-scale pores and fissures constitute a dual-medium reservoir network that maintains long-term oil production. This indicates that the fractured reservoir spaces and the developed fracture network are key to the large-scale oil production of this reservoir without the use of tight oil development technology.

[0060] This study investigated the pore types of shale oil reservoirs, classifying them into 14 subtypes. It suggests that the dual medium of pores and fractures can lead to long-term oil production, but the study did not clarify the differences in oil-bearing properties between different pore types.

[0061] Source: Pang Zhenglian, Tao Shizhen, Zhang Qin, et al. Microstructure and hydrocarbon significance of reservoirs in the Da'anzhai section of the Jurassic system in the central Sichuan Basin [J]. Petroleum Exploration and Development, 2018, 45(1): 11.

[0062] Currently, the main methods for characterizing the oil-rich porosity of shale oil include:

[0063] Direct measurement methods: ① Rock pyrolysis analysis: This involves heating shale oil rock samples using a rock pyrolysis apparatus and measuring the pyrolysis products; ② Extraction method: This utilizes the principle of similar compatibility of hydrocarbons, using organic solvents to extract hydrocarbons from the rock sample. Both methods directly measure the total oil content in the pores of the rock sample. Disadvantage: While these methods can obtain the total oil content in shale pores, they cannot distinguish the differences in oil content between different types of pores.

[0064] Indirect observation methods: ① Fluorescence observation: Utilizing the fluorescence of hydrocarbons, a fluorescence microscope is used to obtain microscopic fluorescence images of the sample. The microscopic distribution of hydrocarbons is analyzed based on the fluorescence intensity. ② Laser scanning confocal scanning: Based on the fluorescence of hydrocarbons, a laser scanning device is added to the fluorescence microscope imaging, using ultraviolet or visible light to excite the fluorescent probe. The distribution location of light and heavy hydrocarbons can be distinguished based on the fluorescence intensity. Disadvantages: While this method can obtain the microscopic distribution location of hydrocarbons, the pores in shale oil reservoirs are extremely small and difficult to observe in thin sections. Therefore, this method cannot obtain information such as the type and origin of hydrocarbon distribution pores. Method ② is more expensive, with single-sample testing costs typically ranging from 10,000 to 20,000 yuan.

[0065] Therefore, based on the above research and analysis, the inventors proposed the technical solution of this invention. The following section uses the continental shale oil of the Da'anzhai section of the Jurassic system in the Sichuan Basin as an example to explain in detail the specific implementation of the inventive concept.

[0066] Step 1: Construct a microscopic rock and mineral-layer model of shale oil reservoirs.

[0067] Fresh shale oil core samples are collected first, and multifunctional thin sections are ground to a thickness of 0.04 mm, which is greater than the standard thickness of 0.03 mm. The thin sections are not covered with glass slides and are stained with a mixture of alizarin red and potassium ferricyanide to identify carbonate minerals.

[0068] Coloring patterns of different carbonate minerals: Calcite is pink to red and contains no FeO (<0.5%); Iron I calcite is light purple and contains 0.5% to 1.5% FeO; Iron II calcite is light purple and contains 1.5% to 2.5% FeO; Iron III calcite is dark purple and contains 2.5% to 3.5% FeO; Dolomite is not stained; Iron dolomite is light blue to dark blue.

[0069] A single-polarized-orthogonal light rock and mineral test was conducted using a polarizing microscope to acquire continuous field-of-view rock and mineral images. These images were then stitched together to form large-scale single-polarized and orthogonal light images. Based on these images, rock components were classified, and the contents of clay, quartz, feldspar, shells, authigenic quartz, and authigenic carbonate minerals in the Da'anzhai section shale oil reservoir were identified and statistically analyzed. The stratification of different components was also identified, and the thickness of individual laminae and the contact relationships between different layers were statistically analyzed. Based on this, a microscopic rock and mineral-laminar model (such as...) was established. Figure 3 (As shown).

[0070] Step 2: Construct a micro-fluorescence distribution model for shale oil samples.

[0071] Microscopic fluorescence experiments were conducted to obtain microscopic fluorescence images of shale oil reservoirs. These images were then stitched together from consecutive fields of view to form large-scale microscopic fluorescence images (e.g., ...). Figure 4 (As shown).

[0072] Large-scale microscopic fluorescence images were segmented, and regions exhibiting micro-fluorescence were extracted based on their fluorescence intensity. Non-fluorescent regions were discarded, resulting in images retaining only the fluorescent portions. Fluorescence intensity, color, location, area, and contact relationships of different luminescent sites were statistically analyzed. Based on this, a microscopic fluorescence distribution model for shale oil samples (e.g., ...) was established. Figure 5 (As shown).

[0073] Step 3: Construct a microscopic rock mineral-lamella-fluorescence distribution model for shale oil.

[0074] Acquire images of microscopic rock and mineral-laminate models and microscopic fluorescence distribution models within the same field of view, and perform image overlay fusion within the same field of view (e.g. Figure 6 As shown in the figure, an oil-rich pore distribution model was established by fusing rock and mineral information, laminar flow information, and fluorescence information.

[0075] This model can accurately obtain the distribution location, relative content (luminescence intensity), and hydrocarbon component (fluorescence color) parameters of shale oil in the microscopic rock and mineral layer model.

[0076] Step 4: Construct a multi-information oil-rich pore model of rock mineralization, lamination, fluorescence, and pores.

[0077] Steps 1-3 can determine the distribution location of hydrocarbons, but cannot determine the type and origin of the corresponding pores. Therefore, it is necessary to select oil-rich areas based on the microscopic rock-mineral-laminar-fluorescence distribution model and conduct pore observation. The specific steps are as follows:

[0078] ① Select oil-rich areas, mark them on multifunctional thin films, and use a three-ion beam cutter to perform in-situ argon ion cutting at the marked positions;

[0079] ② Conduct field emission electron microscopy (FET) experiments to obtain electron microscopic images of the marked oil-rich regions. Based on the images, analyze the morphological parameters of the oil-bearing pores, such as the type of pores, aspect ratio C1, roundness C2, convexity C3, and area parameter C4 (the aspect ratio is the ratio of the maximum to the minimum boundary size; roundness is the ratio of the diameter of the largest inscribed circle to the diameter of the smallest circumscribed circle; convexity is the ratio of the pore area to the area of ​​the pore polygon; the area parameter is the sum of all pixels of the pore). Figure 7 (as shown);

[0080] ③ Conduct energy dispersive spectroscopy (EDS) tests to obtain the elemental composition information of authigenic minerals precipitated in pores and minerals in the surrounding rocks, and clarify the genesis and evolution of pores and the controlling factors.

[0081] ④ Combining the above steps, construct a multi-information oil-rich porosity model of shale oil based on rock and mineral composition, lamination, fluorescence, and porosity, to characterize the oil-rich porosity of continental shale oil (e.g., Figure 8 (As shown).

[0082] The embodiments described above are for illustrative purposes only and are not intended to limit the invention. Therefore, any changes in numerical values ​​or substitutions of equivalent elements should still fall within the scope of this invention.

[0083] The above detailed description will enable those skilled in the art to understand that the present invention can indeed achieve the aforementioned objectives and has complied with the provisions of the Patent Law.

[0084] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the invention. The above descriptions are merely preferred embodiments of the invention and are not intended to limit the invention. It should be noted that any modifications, equivalent substitutions, and improvements made within the spirit and principles of the invention should be included within the scope of protection of the invention.

[0085] It should be noted that the above description of the process is for illustrative purposes only and does not limit the scope of this specification. Those skilled in the art can make various modifications and changes to the process under the guidance of this specification. However, these modifications and changes remain within the scope of this specification.

[0086] The basic concepts have been described above. Obviously, for those skilled in the art who have read this application, the above disclosure is merely illustrative and does not constitute a limitation of this application. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements, and corrections to this application. Such modifications, improvements, and corrections are suggested in this application, and therefore, such modifications, improvements, and corrections still fall within the spirit and scope of the exemplary embodiments of this application.

[0087] Furthermore, this application uses specific terms to describe its embodiments. For example, "an embodiment," "one embodiment," and / or "some embodiments" refer to a particular feature, structure, or characteristic related to at least one embodiment of this application. Therefore, it should be emphasized and noted that "an embodiment," "one embodiment," or "an alternative embodiment" mentioned twice or more in different positions in this specification do not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this application can be appropriately combined.

[0088] Furthermore, those skilled in the art will understand that aspects of this application can be described and illustrated through several patentable types or situations, including any new and useful combination of processes, machines, products, or substances, or any new and useful improvements thereof. Therefore, aspects of this application can be implemented entirely in hardware, entirely in software (including firmware, resident software, microcode, etc.), or a combination of hardware and software. All of the above hardware or software can be referred to as a “unit,” “module,” or “system.” Furthermore, aspects of this application can take the form of a computer program product embodied in one or more computer-readable media, wherein computer-readable program code is contained therein.

[0089] The computer program code required for the operation of each part of this application can be written in any one or more programming languages, including object-oriented programming languages ​​such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, and Python; general programming languages ​​such as C; Visual Basic, Fortran2103, Perl, COBOL2102, PHP, and ABAP; dynamic programming languages ​​such as Python, Ruby, and Groovy; or other programming languages. This program code can run entirely on the user's computer, or as a standalone software package on the user's computer, or partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer can be connected to the user's computer via any network, such as a local area network (LAN) or wide area network (WAN), or connected to an external computer (e.g., via the Internet), or in a cloud computing environment, or used as a service such as Software as a Service (SaaS).

[0090] Furthermore, unless expressly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or other names described in this application are not intended to limit the order of the processes and methods of this application. Although some currently considered useful embodiments of the invention have been discussed in the foregoing disclosure by way of various examples, it should be understood that such details are for illustrative purposes only, and the appended claims are not limited to the disclosed embodiments; rather, the claims are intended to cover all modifications and equivalent combinations that conform to the substance and scope of the embodiments of this application. For example, although the implementation of the various components described above can be embodied in a hardware device, it can also be implemented as a purely software solution, such as an installation on an existing server or mobile device.

[0091] Similarly, it should be noted that, in order to simplify the description of the present application and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of the embodiments of the present application sometimes combines multiple features into a single embodiment, drawing, or description thereof. However, this approach of the present application should not be construed as reflecting an intention that the claimed subject matter requires more features than expressly recited in each claim. Rather, the subject of the invention should possess fewer features than in any single embodiment described above.

Claims

1. A method for characterizing oil-rich pores of continental shale oil by multi-information fusion, characterized in that, The method comprises the following steps: Step 1: constructing a micro rock-mineral-lamella model of a shale oil reservoir; Specifically, fresh shale oil core samples are collected, multifunctional slices are ground, slice analysis is carried out, and single-slice light-orthogonal light rock-mineral tests are carried out to obtain the types, contents, morphologies, occurrences, layering, single-layer thicknesses and contact relationship parameters of physical, chemical precipitated minerals and biogenic components, so as to construct a micro rock-mineral-lamella model and reflect the relationship between the types, contents, morphologies, occurrences, layering, single-layer thicknesses and contact relationship parameters of physical, chemical precipitated minerals and biogenic components; Step 2: constructing a micro fluorescence distribution model of a shale oil sample; Specifically, based on a shale oil sample, micro fluorescence tests are carried out to obtain micro fluorescence images of a shale oil reservoir, the micro fluorescence images of a continuous field of view are continuously spliced to form large-scale micro fluorescence images, and micro fluorescence extraction is carried out to obtain fluorescence emission intensity, fluorescence emission color, fluorescence emission position and contact relationship of different emission positions, so as to construct a micro fluorescence distribution model; Step 3: constructing a micro rock-mineral-lamella-fluorescence distribution model of a shale oil; Specifically, based on the micro rock-mineral-lamella model and the micro fluorescence distribution model of the same field of view, the same field of view image superposition fusion is carried out to obtain the distribution position, relative content and hydrocarbon component parameters of the shale oil in the micro rock-mineral-lamella model, so as to construct a micro rock-mineral-lamella-fluorescence distribution model; Step 4: constructing a rock-mineral-lamella-fluorescence-pore multi-information oil-rich pore mode; Specifically, based on the micro rock-mineral-lamella-fluorescence distribution model, the oil-rich part is selected, multifunctional slice, in-situ argon ion polishing, field emission electron microscope and energy spectrum tests are carried out to obtain the pore type, length-width ratio, roundness, convexity and area parameters of the oil-rich part, and to obtain the types of precipitated authigenic minerals and surrounding rock minerals in the pores and pore genesis information, so as to construct a rock-mineral-lamella-fluorescence-pore multi-information oil-rich pore mode, and use the mode to represent the oil-rich pore of the continental shale oil.

2. The method according to claim 1, wherein, In step 1, fresh shale oil core samples are collected, multifunctional slices are ground, and the thickness is 0.04mm, and alizarin red-potassium ferricyanide mixed dye is used for dyeing to identify carbonate rock minerals.

3. The method according to claim 2, wherein, In step 1, single-slice light-orthogonal light rock-mineral tests are carried out by using a polarizing microscope to obtain continuous field of view rock-mineral images, large-scale single-polarized light and orthogonal light images are spliced, rock components are classified according to the large-scale single-polarized light and orthogonal light images, the contents of clay, feldspar, shell, autogenic quartz and autogenic carbonate minerals in the shale oil reservoir are identified and counted, the layering of different components is identified, the thickness of single-layer lamella and the contact relationship between different layers are counted, and the types, contents, morphologies, occurrences, layering, single-layer thicknesses and contact relationship parameters of physical, chemical precipitated minerals and biogenic components are obtained to construct a micro rock-mineral-lamella model.

4. The method according to claim 1, wherein, In step 2, the specific process of micro fluorescence extraction is as follows: The large-scale microscopic fluorescence image is cut, the region with the microscopic fluorescence reaction is extracted according to the microscopic fluorescence light intensity, the non-fluorescent region is removed, the partial image only retaining the fluorescence is obtained, the fluorescence light intensity, the fluorescence light color, the fluorescence light position, the fluorescence light area and the contact relationship of different light-emitting parts are counted, so as to construct a microscopic fluorescence distribution model.

5. The method according to claim 1, wherein, In step 4, the specific process of multi-functional sheet, in-situ argon ion polishing, field emission electron microscope and energy spectrum test is as follows: Selecting the oil-rich part, marking on the multi-functional sheet, and using the three-ion beam cutting instrument to perform in-situ argon ion polishing on the marked position; Carrying out field emission electron microscope test, obtaining the electron microscope image of the marked oil-rich part, and analyzing the pore type, length-width ratio, roundness, convexity and area parameters of the oil-rich part; Carrying out energy spectrum test, obtaining the types of self-generated minerals and surrounding rock minerals deposited in the pores and the pore genesis information.

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