Shale oil content and component synchronous test and analysis system

Abstract

The invention discloses a shale oil content and component synchronous test analysis system, and relates to the technical field of shale oil content detection, the shale oil content and component synchronous test analysis system comprises a sample collection module, a temperature control module, an analysis module and a waste gas treatment module, and test data obtained from the gas collection module and an oil content determination module are analyzed and synchronously processed; the method comprises the following steps: generating a three-dimensional space distribution diagram of a detail version, generating a three-dimensional space distribution diagram of the detail version, sequencing and comparing gas components and porosity data of different micro-areas to obtain oil content and component information of a shale sample, performing comparative analysis on gas component data of each micro-area, and displaying oil and gas contents, porosity data and organic matter distribution of different areas. The method is used for predicting oil and gas reserves and exploitation potential, evaluating distribution of deep oil and gas reserves through a weighted summation method in combination with geologic structure characteristics and organic matter content, generating a spatial heterogeneity map based on the influence of geologic structures on oil and gas accumulation, and assisting more accurate oil and gas resource exploration.

Description

Technical Field

[0001] The present invention relates to the technical field of shale oil content detection, and in particular to a shale oil content and component synchronous testing and analysis system. Background Art

[0002] Traditional shale analysis methods often use different experimental techniques to measure oil content and composition separately. However, these methods are often separate and lack synchronization, and the testing process is cumbersome and time-consuming. Therefore, the shale oil content and composition simultaneous testing and analysis system has emerged as a new testing technology designed to simultaneously analyze shale oil and gas content and organic matter composition through an integrated approach. This system will provide a more accurate and efficient analytical tool for shale gas and shale oil extraction, and will play a key role in oil and gas exploration and development.

[0003] Currently, Chinese invention patent application number CN202310261801.2 discloses a machine learning-based method for predicting shale oil content. This method uses a machine learning algorithm to predict the pyrolysis parameter S1 from these data, thereby achieving the goal of predicting shale oil content. The model prediction and application prediction correlations of the present invention are higher than those obtained by traditional methods, and the fitting effect is good and the model is stable. The present method requires a short prediction time, only 1 second, compared to traditional methods that take several hours or days, greatly improving efficiency. However, the existing technology cannot use three-dimensional spatial mapping tools to spatially process the gas composition, porosity, and geological property data of each micro-region to generate a detailed three-dimensional spatial distribution map. It cannot predict oil and gas reserves and recovery potential by sorting and comparing gas composition and porosity data from different micro-regions, thus failing to provide accurate predictions for oil and gas development. It cannot combine geological structural characteristics and organic matter content to assess the distribution of deep oil and gas reserves, nor can it assess oil and gas reserves in different micro-regions based on the influence of geological structure on oil and gas accumulation. Summary of the Invention

[0004] The technical problem solved by the present invention is that the existing technology is unable to spatially process the gas composition, porosity, and geological property data of each micro-region through three-dimensional spatial mapping tools to generate a detailed three-dimensional spatial distribution map, is unable to predict oil and gas reserves and mining potential by sorting and comparing the gas composition and porosity data of different micro-regions, and thus is unable to provide accurate predictions for oil and gas development, is unable to evaluate the distribution of deep oil and gas reserves in combination with geological structure characteristics and organic matter content, and is unable to evaluate the oil and gas reserves of different micro-regions based on the influence of geological structure on oil and gas accumulation.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: a shale oil content and component synchronous testing and analysis system, including a sample collection module, a temperature control module, an analysis module and an exhaust gas treatment module:

[0006] The sample collection module is used to process shale samples, collect gas components released by the shale samples during heating in real time, determine the oil and gas content in the shale samples, and perform quantitative analysis on the gas components and oil and gas content;

[0007] The temperature control module is used to adaptively control the temperature adjustment of the sample collection module;

[0008] The analysis module is used to analyze and synchronously process the test data obtained from the gas acquisition module and the oil measurement module to obtain the oil content and composition information of the shale sample, conduct comparative analysis of the gas composition data of each micro-region, and generate a spatial heterogeneity map of the core sample, showing the oil and gas content, porosity data and organic matter distribution in different regions;

[0009] The exhaust gas treatment module is used to treat exhaust gas in real time to ensure that harmful substances are effectively removed and emissions meet environmental protection standards.

[0010] Preferably, the sample collection module comprises:

[0011] Collecting a shale sample to be tested, subjecting the shale sample to a standardized process, wherein the standardized process includes cutting, grinding, and removing impurities, and placing the standardized shale sample into a test container according to a predetermined volume and mass;

[0012] During the sample heating process, a gas collection device is started to monitor and collect the gas released from the sample in real time, the gas is collected using a gas collector, and the gas is transmitted to a gas analyzer for component analysis;

[0013] After the sample is heated, the oil and gas content in the gas is measured using an oil and gas measuring instrument, a gas chromatograph, and the measurement data is transmitted to the data processing module in real time.

[0014] The shale sample is cut into several micro-areas by a precision cutting tool. The micro-areas are used for separate pyrolysis analysis, and each micro-area is numbered and its position recorded.

[0015] Preferably, the temperature control module includes:

[0016] The temperature sensor monitors the temperature during the heating process in real time and adjusts the heating rate and target temperature based on the real-time feedback temperature signal. If the temperature fluctuates abnormally, the control system automatically takes corrective measures.

[0017] Using the temperature control module, by precisely controlling the heating rate and temperature, pyrolysis analysis of shale samples in each micro-area is performed under different temperature conditions:

[0018] In the initial stage, the shale sample is heated to a first temperature to release volatile organic compounds and the data is recorded;

[0019] In the middle stage, the shale sample is heated to a second temperature to perform a cracking process of organic matter, generating methane, carbon dioxide, and nitrogen;

[0020] At the final stage, the shale samples are heated to a third temperature, releasing the oil and gas components.

[0021] Preferably, the analysis module includes:

[0022] The waste gas collected by the gas collector is analyzed by mass spectrometer for components, including volatile organic compounds, methane, ethane, nitrogen, propane, carbon dioxide, oil and natural gas components. The gas data collected by the gas collector is preprocessed, and the preprocessing operations include noise filtering, data calibration and unit conversion. The concentration of each gas is calculated based on the relationship between the peak area in the chromatogram and the standard curve using gas chromatography, and the gas composition and temperature data of each micro-area are recorded in the gas composition database.

[0023] Preferably, a spatial heterogeneity map of the core is generated based on the gas composition database, and the oil and gas reserves and mining potential of the rock formation are analyzed based on the spatial heterogeneity map. Based on the changes in gas composition, the organic matter content and type of different micro-regions are analyzed. By comparing the porosity data and gas composition of different regions, the pore structure and oil and gas storage conditions of each micro-region are inferred. Through data processing, high gas production areas and low gas production areas in the sample are identified, and the oil and gas distribution pattern is further inferred.

[0024] Preferably, porosity data of shale samples are obtained by nuclear magnetic resonance and CT scanning, and geological property data of the cores are collected, wherein the geological property data include permeability and rock type, and the rock types include sandstone, shale and carbonate rock;

[0025] Eliminate outliers caused by measurement errors or data collection errors, interpolate and fill in missing gas composition data and porosity data, normalize and standardize the concentration data of each gas component, input the gas composition database, porosity data, and geological property data of each micro-region into the three-dimensional spatial mapping tool Petrel for spatial processing, and draw a three-dimensional spatial distribution map of the gas composition database, porosity data, and geological property data. The gas composition database, porosity data, and geological property data are respectively mapped to a unified and specific spatial coordinate for data comparison;

[0026] The micro-areas are divided into unit regular grids to obtain detailed micro-areas, and the peak data of the image of the three-dimensional spatial distribution map of each detailed micro-area is marked respectively. Based on the porosity data and geological characteristic data, the porosity data distribution map of each micro-area is generated;

[0027] Based on the three-dimensional spatial distribution map, comparing the gas component ratios of different detail micro-areas, sorting the gas component ratios, dividing them into n level intervals according to the sorting, and obtaining the organic matter type and organic matter abundance ranking of each detail micro-area according to the level intervals;

[0028] Based on the abundance ranking of organic matter and porosity data, the oil and gas reserves of each detailed micro-area are estimated to include:

[0029] The abundance ranking of the organic matter and the porosity data are weighted and summed, the weighted summed data are sorted, and divided into m grade intervals according to the ranking. The oil and gas reserve grade of each detail micro-area is obtained according to the grade interval. The oil and gas reserve grade of the minimum grade is used as the unit data value, and the oil and gas reserve of the detail micro-area is measured to obtain the oil and gas reserve data of other detail micro-areas. The oil and gas reserve of each detail micro-area is sorted according to the relationship between the abundance ranking of the organic matter and the porosity data and the oil and gas reserve. The relationship includes:

[0030] The first porosity data region represents a first oil and gas storage capacity, a first permeability, and a first oil and gas production potential;

[0031] The second porosity data area is used to improve the efficiency of oil and gas recovery through enhanced recovery techniques such as fracturing;

[0032] The first gas production zone includes a first methane concentration and first porosity data, a first organic matter content, and a first permeability;

[0033] The second gas producing zone includes a second methane concentration and second porosity data, a second organic content, and a second permeability.

[0034] Preferably, the geological structure and organic matter content of the shale sample are measured, and the geological structure is encoded with embedding layer characteristics based on the relationship between the geological structure and oil and gas reserves to obtain geological structure characteristic values. The geological structure characteristic values, the standardized organic matter content, and the oil and gas reserves are ranked and weighted and summed to obtain the deep oil and gas reserve distribution characteristics corresponding to each detailed micro-area. The deep oil and gas reserve distribution characteristics are mapped to each detailed micro-area to draw a spatial heterogeneity map.

[0035] The inferred oil and gas distribution and reserves are verified by test data obtained through actual drilling. If the test data differs from the actual situation, the weighted summation weight data is re-evaluated and the spatial heterogeneity map is updated.

[0036] Preferably, the spatial heterogeneity map is combined with the three-dimensional spatial distribution map to obtain a detailed three-dimensional spatial distribution map, wherein map features of the detailed three-dimensional spatial distribution map include an organic matter content distribution map, a porosity data distribution map, an oil and gas distribution map, and map accuracy and resolution;

[0037] The three-dimensional modeling of the detailed three-dimensional spatial distribution map is to construct a core internal pore network model by MIP membrane interface detection, and superimpose the pyrolysis product distribution data;

[0038] Based on the statistical analysis of total organic carbon and pyrolysis parameters, samples with abnormal hydrocarbon generation and evolution caused by micromigration are identified and removed.

[0039] Preferably, the exhaust gas treatment module comprises:

[0040] During the micro-area pyrolysis process, the waste gas released during the heating of the shale sample is collected in real time through a gas collector. The waste gas includes volatile harmful substances, including methane, VOCs and carbon dioxide. The waste gas is pretreated by a filter device dust collector to remove solid particles and moisture. The pretreated waste gas enters a catalytic oxidation device, and a catalyst is used to promote the oxidation reaction of volatile harmful substances in the waste gas at a preset temperature, converting them into carbon dioxide and water.

[0041] Preferably, the exhaust gas after catalytic oxidation treatment is discharged into the atmosphere through an exhaust pipe.

[0042] The present invention provides a beneficial effect: Shale samples are heated in multiple stages through a pyrolysis process at different temperatures, releasing different oil and gas components, enabling more accurate and comprehensive oil and gas composition analysis. This method can detect changes in volatile organic compounds, methane, carbon dioxide, nitrogen, and other gases at different temperatures, facilitating more accurate assessment of the sample's oil and gas content and composition. By simultaneously analyzing gas composition data from each micro-region, the system generates a spatial heterogeneity map of the core sample, showing the oil and gas content, porosity, and organic matter distribution in different areas. This map helps determine the spatial distribution patterns of oil and gas, providing a scientific basis for oil and gas reserve assessment and production potential prediction. During the shale sample processing process, the system collects and processes exhaust gas in real time, ensuring that harmful substances are effectively removed and that exhaust emissions meet environmental standards. Catalytic oxidation converts the exhaust gas, effectively reducing pollution and improving processing efficiency. Using a three-dimensional spatial mapping tool, the gas composition, porosity, and geological property data for each micro-region are spatially processed to generate a detailed three-dimensional spatial distribution map. By sorting and comparing gas composition and porosity data from different micro-regions, the system can predict oil and gas reserves and recovery potential, providing accurate forecasts for oil and gas development. The temperature control module adjusts the heating rate and target temperature based on real-time temperature signals to ensure that the sample heating process meets experimental requirements. Combining geological structural characteristics and organic matter content, the system uses a weighted summation method to assess the distribution of deep oil and gas reserves. Based on the influence of geological structure on oil and gas accumulation, it assesses oil and gas reserves in different micro-regions and generates spatial heterogeneity maps, facilitating more accurate oil and gas resource exploration. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A schematic diagram of the basic flow of a system for synchronous testing and analysis of shale oil content and components provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0045] Reference Figure 1 , which is an embodiment of the present invention, provides a shale oil content and component synchronous testing and analysis system, including a sample collection module, a temperature control module, an analysis module and an exhaust gas treatment module:

[0046] The sample collection module is used to process shale samples, collect the gas components released by shale samples during heating in real time, determine the oil and gas content in the shale samples, and perform quantitative analysis of the gas components and oil and gas content;

[0047] The temperature control module is used to adaptively control the temperature adjustment of the sample collection module;

[0048] The analysis module is used to analyze and synchronously process the test data obtained from the gas acquisition module and the oil measurement module to obtain the oil content and composition information of the shale sample, conduct comparative analysis of the gas composition data of each micro-region, and generate a spatial heterogeneity map of the core sample, showing the oil and gas content, porosity data and organic matter distribution in different regions;

[0049] The exhaust gas treatment module is used to treat exhaust gas in real time to ensure that harmful substances are effectively removed and emissions meet environmental protection standards.

[0050] The sample collection module includes:

[0051] Collecting a shale sample to be tested, subjecting the shale sample to standardization treatment, wherein the standardization treatment includes cutting, grinding and removing impurities, and placing the standardized shale sample into a test container according to a predetermined volume and mass;

[0052] During the sample heating process, the gas collection device is started to monitor and collect the gas released from the sample in real time, the gas is collected using a gas collector, and the gas is transmitted to a gas analyzer for component analysis;

[0053] After the sample is heated, the oil and gas content in the gas is measured using an oil and gas measuring instrument, a gas chromatograph, and the measurement data is transmitted to the data processing module in real time.

[0054] The shale sample is cut into several micro-areas using precision cutting tools. The micro-areas are used for separate pyrolysis analysis. Each micro-area should have relatively uniform physical and chemical properties to ensure the accuracy of the analysis. Each micro-area is numbered and its location recorded for subsequent data tracking and processing.

[0055] The temperature control module includes:

[0056] The temperature sensor monitors the temperature during the heating process in real time. Based on the real-time feedback temperature signal, the heating rate and target temperature are adjusted to ensure that the heating process of the sample meets the experimental requirements. If the temperature fluctuates abnormally, the control system automatically takes corrective measures to ensure the stability of the test.

[0057] Using the temperature control module, by precisely controlling the heating rate and temperature, pyrolysis analysis of shale samples in each micro-area is performed under different temperature conditions:

[0058] In the initial stage, the shale sample is heated to a first temperature to release volatile organic compounds and the data is recorded;

[0059] In the middle stage, the shale sample is heated to a second temperature to perform a cracking process of organic matter, generating methane, carbon dioxide, and nitrogen;

[0060] At the final stage, the shale samples are heated to a third temperature, releasing the oil and gas components.

[0061] Analysis modules include:

[0062] The waste gas collected by the gas collector is analyzed by mass spectrometer for composition analysis. The gas components include volatile organic compounds, methane, ethane, nitrogen, propane, carbon dioxide, oil and natural gas components. The gas data collected by the gas collector are preprocessed, and the preprocessing operations include noise filtering, data calibration and unit conversion. The concentration of each gas is calculated based on the relationship between the peak area in the chromatogram and the standard curve using gas chromatography, and the gas composition and temperature data of each micro-area are recorded in the gas composition database.

[0063] The temperature control module divides shale samples into different micro-regions for pyrolysis analysis to assess the heterogeneity of different regions. By comparing and analyzing the pyrolysis data of different micro-regions, the spatial heterogeneity of the core samples is determined. Based on the changes in gas composition, the organic matter content, porosity data, and oil and gas distribution characteristics of different regions can be inferred.

[0064] A spatial heterogeneity map of the core is generated based on the gas composition database. The oil and gas reserves and production potential of the rock formation are analyzed based on the spatial heterogeneity map. The organic matter content and type in different micro-regions are analyzed based on the changes in gas composition. By comparing the porosity data and gas composition of different regions, the pore structure and oil and gas storage conditions of each micro-region are inferred. Through data processing, high-gas and low-gas-yield areas in the sample are identified, and the oil and gas distribution pattern is further inferred.

[0065] Porosity data of shale samples was obtained through nuclear magnetic resonance and CT scanning, and geological property data of the cores was collected, including permeability and rock types, including sandstone, shale and carbonate rocks;

[0066] Eliminate outliers caused by measurement errors or data collection errors, interpolate and fill in missing gas composition data and porosity data, normalize and standardize the concentration data of each gas component, input the gas composition database, porosity data, and geological property data of each micro-region into the 3D spatial mapping tool Petrel for spatial processing, and draw a 3D spatial distribution map of the gas composition database, porosity data, and geological property data. The gas composition database, porosity data, and geological property data are mapped to a unified and specific spatial coordinate for data comparison;

[0067] The micro-areas are divided into unit regular grids to obtain detailed micro-areas, and the peak data of the image of the three-dimensional spatial distribution map of each detailed micro-area is marked respectively. Based on the porosity data and geological characteristic data, the porosity data distribution map of each micro-area is generated;

[0068] Based on the three-dimensional spatial distribution map, the gas component ratios of different detailed micro-areas are compared, and the gas component ratios are ranked. According to the ranking, they are divided into n level intervals. The organic matter type and organic matter abundance ranking of each detailed micro-area are obtained according to the level interval; higher methane concentration indicates higher organic matter content, lower concentration indicates lower organic matter content, higher ethane and propane ratio indicates that the detailed micro-area has higher shale gas reservoir potential and higher oil generation potential, and higher CO2 concentration indicates that the detailed micro-area has stronger hydrocarbon gas generation ability, which also shows that the oil and gas reservoir has been affected by the "gas cap" phenomenon to varying degrees.

[0069] Based on the abundance ranking of organic matter and porosity data, the oil and gas reserves of each detailed micro-area are estimated to include:

[0070] The abundance ranking of organic matter and porosity data are weighted and summed, and the weighted summed data are sorted and divided into m grade intervals according to the ranking. The oil and gas reserve grade of each detail micro-area is obtained according to the grade interval. The oil and gas reserve grade of the minimum grade is used as the unit data value, and the oil and gas reserve of the detail micro-area is measured to obtain the oil and gas reserve data of other detail micro-areas. The oil and gas reserves of each detail micro-area are sorted according to the relationship between the abundance ranking of organic matter and porosity data and oil and gas reserves. The relationship includes:

[0071] The first porosity data region represents a first oil and gas storage capacity, a first permeability, and a first oil and gas production potential;

[0072] The second porosity data area is used to improve the efficiency of oil and gas recovery through enhanced recovery techniques such as fracturing;

[0073] The first gas production zone includes a first methane concentration and first porosity data, a first organic matter content, and a first permeability;

[0074] The second gas producing zone includes a second methane concentration and second porosity data, a second organic content, and a second permeability.

[0075] Measure the geological structure and organic matter content of the shale sample, encode the geological structure as an embedding layer feature based on the relationship between geological structure and oil and gas reserves, and obtain geological structure characteristic values. The relationship between geological structure and oil and gas reserves includes the geological phenomena of faults and folds, which may affect oil and gas accumulation. The geological structure characteristic values, standardized organic matter content, and oil and gas reserve ranking are weighted and summed to obtain the deep oil and gas reserve distribution characteristics corresponding to each detailed micro-area. The deep oil and gas reserve distribution characteristics are mapped to each detailed micro-area, and a spatial heterogeneity map is drawn to visualize the oil and gas reserve distribution in each micro-area in detail.

[0076] The inferred oil and gas distribution and reserves are verified through test data obtained from actual drilling. If the test data differs from the actual situation, the weighted summation weight data is re-evaluated and the spatial heterogeneity map is updated to more accurately predict oil and gas resources and extraction potential.

[0077] Through these steps, the oil and gas reserves, mining potential and oil and gas distribution patterns of the rock formation can be comprehensively analyzed, thus providing a scientific basis for subsequent oil and gas development.

[0078] The spatial heterogeneity map is combined with the three-dimensional spatial distribution map to obtain a detailed three-dimensional spatial distribution map. The map features of the detailed three-dimensional spatial distribution map include organic matter content distribution map, porosity data distribution map, oil and gas distribution map, and map accuracy and resolution.

[0079] The organic matter content distribution map reflects the abundance of organic matter in different areas of the rock formation. High organic matter areas may correspond to higher oil and gas production;

[0080] Porosity data distribution diagram shows the porosity data level in different micro-areas, helping to determine the permeability and gas storage capacity of the rock formation;

[0081] Oil and gas distribution maps combine organic matter content and porosity data to predict oil and gas distribution and potential production areas;

[0082] Map accuracy and resolution depend on the level of detail in micro-division and the accuracy of data analysis. Generally, the smaller the micro-division, the more accurate the resulting spatial map.

[0083] The 3D modeling of the detailed 3D spatial distribution map uses MIP membrane interface detection to construct a core internal pore network model, superimposing pyrolysis product distribution data to visualize the occurrence state and migration path of organic matter;

[0084] Based on statistical analysis of total organic carbon and pyrolysis parameters, abnormal samples of hydrocarbon generation and evolution caused by micromigration are identified and removed to ensure data reliability.

[0085] The exhaust gas treatment module includes:

[0086] During the micro-area pyrolysis process, the waste gas released during the heating of the shale sample is collected in real time through a gas collector. The waste gas includes volatile harmful substances, including methane, VOCs and carbon dioxide. The waste gas is pre-treated through a filter device dust collector to remove solid particles and moisture. The pre-treated waste gas enters a catalytic oxidation device, and a catalyst is used to promote the oxidation reaction of volatile harmful substances in the waste gas at a preset temperature, converting them into carbon dioxide and water.

[0087] This catalytic oxidation reaction can not only effectively reduce harmful substances in exhaust gas, but also improve the efficiency of exhaust gas treatment, ensuring that the treated exhaust gas meets environmental protection standards.

[0088] After catalytic oxidation treatment, the exhaust gas is discharged into the atmosphere through the exhaust pipe. The exhaust port will be equipped with necessary emission detection equipment to regularly test the composition and concentration of the exhaust gas to ensure that it continues to meet environmental protection requirements.

[0089] According to relevant regulations, the system will generate an exhaust emission report and archive it for inspection by the environmental protection department.

[0090] This method heats shale samples in multiple stages through a pyrolysis process at varying temperatures, releasing different oil and gas components. This enables more accurate and comprehensive oil and gas composition analysis. This method can detect changes in volatile organic compounds, methane, carbon dioxide, nitrogen, and other gases at different temperatures, helping to more accurately assess the sample's oil and gas content and composition. By simultaneously analyzing gas composition data from each micro-region, the system generates a spatial heterogeneity map of the core sample, showing the oil and gas content, porosity, and organic matter distribution in different areas. This map helps determine the spatial distribution patterns of oil and gas, providing a scientific basis for oil and gas reserve assessment and production potential prediction. During the shale sample processing process, the system collects and processes exhaust gas in real time, ensuring that harmful substances are effectively removed and that exhaust emissions meet environmental standards. Catalytic oxidation converts the exhaust gas, effectively reducing pollution and improving processing efficiency. Using a three-dimensional spatial mapping tool, the gas composition, porosity, and geological property data for each micro-region are spatially processed to generate a detailed three-dimensional spatial distribution map. By sorting and comparing gas composition and porosity data from different micro-regions, the system can predict oil and gas reserves and recovery potential, providing accurate forecasts for oil and gas development. The temperature control module adjusts the heating rate and target temperature based on real-time temperature signals to ensure that the sample heating process meets experimental requirements. Combining geological structural characteristics and organic matter content, the system uses a weighted summation method to assess the distribution of deep oil and gas reserves. Based on the influence of geological structure on oil and gas accumulation, it assesses oil and gas reserves in different micro-regions and generates spatial heterogeneity maps, facilitating more accurate oil and gas resource exploration.

[0091] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a fully hardware embodiment, a fully software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0092] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A shale oil content and component synchronous testing and analysis system, characterized in that: Including sample collection module, temperature control module, analysis module and exhaust gas treatment module: The sample collection module is used to process shale samples, collect gas components released by the shale samples during heating in real time, determine the oil and gas content in the shale samples, and perform quantitative analysis on the gas components and oil and gas content; The temperature control module is used to adaptively control the temperature adjustment of the sample collection module; The analysis module is used to analyze and synchronously process the test data obtained from the gas acquisition module and the oil measurement module to obtain the oil content and composition information of the shale sample, conduct comparative analysis of the gas composition data of each micro-region, and generate a spatial heterogeneity map of the core sample, showing the oil and gas content, porosity data and organic matter distribution in different regions; The exhaust gas treatment module is used to treat exhaust gas in real time to ensure that harmful substances are effectively removed and emissions meet environmental protection standards.

2. The shale oil content and component synchronous testing and analysis system according to claim 1, characterized in that: The sample collection module comprises: Collecting a shale sample to be tested, subjecting the shale sample to a standardized process, wherein the standardized process includes cutting, grinding, and removing impurities, and placing the standardized shale sample into a test container according to a predetermined volume and mass; During the sample heating process, a gas collection device is started to monitor and collect the gas released from the sample in real time, the gas is collected using a gas collector, and the gas is transmitted to a gas analyzer for component analysis; After the sample is heated, the oil and gas content in the gas is measured using a gas chromatograph, an oil and gas measuring instrument, and the measurement data is transmitted to the data processing module in real time; The shale sample is cut into several micro-areas by a precision cutting tool. The micro-areas are used for separate pyrolysis analysis, and each micro-area is numbered and its position recorded.

3. The shale oil content and component synchronous testing and analysis system according to claim 2, characterized in that: The temperature control module includes: The temperature sensor monitors the temperature during the heating process in real time and adjusts the heating rate and target temperature based on the real-time feedback temperature signal. If the temperature fluctuates abnormally, the control system automatically takes corrective measures. Using the temperature control module, by precisely controlling the heating rate and temperature, pyrolysis analysis of shale samples in each micro-area is performed under different temperature conditions: In the initial stage, the shale sample is heated to a first temperature to release volatile organic compounds and the data is recorded; In the middle stage, the shale sample is heated to a second temperature to perform a cracking process of organic matter, generating methane, carbon dioxide, and nitrogen; At the final stage, the shale samples are heated to a third temperature, releasing the oil and gas components.

4. The shale oil content and component synchronous testing and analysis system according to claim 3, characterized in that: The analysis module includes: The waste gas collected by the gas collector is analyzed by mass spectrometer for components, including volatile organic compounds, methane, ethane, nitrogen, propane, carbon dioxide, oil and natural gas components. The gas data collected by the gas collector is preprocessed, and the preprocessing operations include noise filtering, data calibration and unit conversion. The concentration of each gas is calculated based on the relationship between the peak area in the chromatogram and the standard curve using gas chromatography, and the gas composition and temperature data of each micro-area are recorded in the gas composition database.

5. The shale oil content and component synchronous testing and analysis system according to claim 4, characterized in that: A spatial heterogeneity map of the core is generated based on the gas composition database. The oil and gas reserves and production potential of the rock formation are analyzed based on the spatial heterogeneity map. Based on the changes in gas composition, the organic matter content and type of different micro-regions are analyzed. By comparing the porosity data and gas composition of different regions, the pore structure and oil and gas storage conditions of each micro-region are inferred. Through data processing, high-gas production areas and low-gas production areas in the sample are identified, and the oil and gas distribution pattern is further inferred.

6. The shale oil content and component synchronous testing and analysis system according to claim 5, characterized in that: Obtain porosity data of shale samples through nuclear magnetic resonance and CT scanning, and collect geological property data of the cores, the geological property data including permeability and rock type, the rock types including sandstone, shale and carbonate rock; Eliminate outliers caused by measurement errors or data collection errors, interpolate and fill in missing gas composition data and porosity data, normalize and standardize the concentration data of each gas component, input the gas composition database, porosity data, and geological property data of each micro-region into the three-dimensional spatial mapping tool Petrel for spatial processing, and draw a three-dimensional spatial distribution map of the gas composition database, porosity data, and geological property data. The gas composition database, porosity data, and geological property data are respectively mapped to a unified and specific spatial coordinate for data comparison; The micro-areas are divided into unit regular grids to obtain detailed micro-areas, and the peak data of the image of the three-dimensional spatial distribution map of each detailed micro-area is marked respectively. Based on the porosity data and geological characteristic data, the porosity data distribution map of each micro-area is generated; Based on the three-dimensional spatial distribution map, comparing the gas component ratios of different detail micro-areas, sorting the gas component ratios, dividing them into n level intervals according to the sorting, and obtaining the organic matter type and organic matter abundance ranking of each detail micro-area according to the level intervals; Based on the abundance ranking of organic matter and porosity data, the oil and gas reserves of each detailed micro-area are estimated to include: The abundance ranking of the organic matter and the porosity data are weighted and summed, the weighted summed data are sorted, and divided into m grade intervals according to the ranking. The oil and gas reserve grade of each detail micro-area is obtained according to the grade interval. The oil and gas reserve grade of the minimum grade is used as the unit data value, and the oil and gas reserve of the detail micro-area is measured to obtain the oil and gas reserve data of other detail micro-areas. The oil and gas reserve of each detail micro-area is sorted according to the relationship between the abundance ranking of the organic matter and the porosity data and the oil and gas reserve. The relationship includes: The first porosity data region represents a first oil and gas storage capacity, a first permeability, and a first oil and gas production potential; The second porosity data area is used to improve the efficiency of oil and gas recovery through enhanced recovery techniques such as fracturing; The first gas production zone includes a first methane concentration and first porosity data, a first organic matter content, and a first permeability; The second gas producing zone includes a second methane concentration and second porosity data, a second organic content, and a second permeability.

7. The shale oil content and component synchronous testing and analysis system according to claim 6, characterized in that: Measure the geological structure and organic matter content of the shale sample, perform embedding layer feature coding on the geological structure based on the relationship between geological structure and oil and gas reserves to obtain geological structure characteristic values, perform weighted summation on the geological structure characteristic values, the standardized organic matter content, and the oil and gas reserves ranking to obtain the deep oil and gas reserve distribution characteristics corresponding to each detailed micro-area, and map the deep oil and gas reserve distribution characteristics to each detailed micro-area to draw a spatial heterogeneity map; The inferred oil and gas distribution and reserves are verified by test data obtained through actual drilling. If the test data differs from the actual situation, the weighted summation weight data is re-evaluated and the spatial heterogeneity map is updated.

8. The shale oil content and component synchronous testing and analysis system according to claim 7, characterized in that: Combining the spatial heterogeneity map with the three-dimensional spatial distribution map to obtain a detailed three-dimensional spatial distribution map, wherein map features of the detailed three-dimensional spatial distribution map include an organic matter content distribution map, a porosity data distribution map, an oil and gas distribution map, and map accuracy and resolution; The three-dimensional modeling of the detailed three-dimensional spatial distribution map is to construct a core internal pore network model by MIP membrane interface detection, and superimpose the pyrolysis product distribution data; Based on the statistical analysis of total organic carbon and pyrolysis parameters, samples with abnormal hydrocarbon generation and evolution caused by micromigration are identified and removed.

9. The shale oil content and component synchronous testing and analysis system according to claim 8, characterized in that: The exhaust gas treatment module comprises: During the micro-area pyrolysis process, the waste gas released during the heating of the shale sample is collected in real time through a gas collector. The waste gas includes volatile harmful substances, including methane, VOCs and carbon dioxide. The waste gas is pretreated by a filter device dust collector to remove solid particles and moisture. The pretreated waste gas enters a catalytic oxidation device, and a catalyst is used to promote the oxidation reaction of volatile harmful substances in the waste gas at a preset temperature, converting them into carbon dioxide and water.

10. The shale oil content and component synchronous testing and analysis system according to claim 9, characterized in that: The exhaust gas after catalytic oxidation treatment is discharged into the atmosphere through the exhaust pipe.

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