A shale oil content and component synchronous test and analysis system

Abstract

The application discloses a shale oil content and component synchronous test and analysis system, and relates to the technical field of shale oil content detection. The system comprises a sample collection module, a temperature control module, an analysis module and a waste gas treatment module. Test data obtained from the gas collection module and the oil content determination module are analyzed and synchronously processed to obtain the oil content and component information of shale samples. The gas component data of each micro area are compared and analyzed to display the oil and gas content, porosity data and organic matter distribution of different areas. The application generates a three-dimensional space distribution map in detail and sorts and compares the gas component and porosity data of different micro areas to predict oil and gas reserves and exploitation potential. In combination with geological structure characteristics and organic matter content, the distribution of deep oil and gas reserves is evaluated by a weighted summation method. Based on the influence of geological structure on oil and gas accumulation, a spatial heterogeneity map is generated to help more accurate oil and gas resource exploration.

Description

Technical Field

[0001] This invention relates to the technical field of shale oil content detection, and more particularly to a system for simultaneous testing and analysis of shale oil content and composition. Background Technology

[0002] Traditional shale analysis methods often employ different experimental techniques to separately test oil content and components. However, these methods are typically separate, lack synchronization, and are cumbersome and time-consuming. Therefore, a simultaneous shale oil content and component analysis system has emerged. As a novel testing technology, it aims to achieve simultaneous analysis of shale oil and gas content and organic matter components through an integrated approach. This system will provide more accurate and efficient analytical tools for shale gas and oil extraction and will play a crucial 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 machine learning algorithms to predict the pyrolysis parameter S1 on the data, thereby achieving the goal of predicting shale oil content. The correlation between the model prediction and the application prediction involved in this invention is higher than that obtained by traditional methods, and the fitting effect is good, with a stable model. The prediction time required by this invention is short, only 1 second, compared to the hours or days required by traditional methods, greatly improving efficiency. However, existing technologies cannot use three-dimensional spatial mapping tools to spatially process the gas composition, porosity, and geological characteristic data of each micro-region to generate detailed three-dimensional spatial distribution maps. They cannot predict oil and gas reserves and exploitation potential by sorting and comparing the gas composition and porosity data of different micro-regions, thus failing to provide accurate predictions for oil and gas development. They also cannot assess the distribution of deep oil and gas reserves by combining geological structural features and organic matter content, nor can they evaluate the oil and gas reserves of different micro-regions based on the influence of geological structures on oil and gas accumulation. Summary of the Invention

[0004] The technical problem solved by this invention is that existing technologies cannot spatially process the gas composition, porosity, and geological characteristics data of each micro-region using three-dimensional spatial mapping tools to generate detailed three-dimensional spatial distribution maps. They cannot predict oil and gas reserves and exploitation potential by sorting and comparing the gas composition and porosity data of different micro-regions, thus failing to provide accurate predictions for oil and gas development. They also cannot assess the distribution of deep oil and gas reserves by combining geological structural features and organic matter content, and cannot evaluate the oil and gas reserves of different micro-regions based on the influence of geological structures on oil and gas accumulation.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a shale oil content and composition synchronous testing and analysis system, comprising a sample acquisition module, a temperature control module, an analysis module, and an exhaust gas treatment module:

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

[0007] The temperature control module is used for adaptive control of the temperature adjustment of the sample acquisition module;

[0008] The analysis module is used to analyze and process the test data obtained from the gas acquisition module and the oil content measurement module simultaneously to obtain the oil content and composition information of the shale sample, compare and analyze the gas composition data of each micro-region, generate a spatial heterogeneity map of the core sample, and display 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, ensuring that harmful substances are effectively removed and emissions meet environmental protection standards.

[0010] Preferably, the sample acquisition module includes:

[0011] Collect shale samples to be tested, and standardize the shale samples. The standardization process includes cutting, grinding and removing impurities. The standardized shale samples are then loaded into a test container according to a predetermined volume and mass.

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

[0013] After the sample is heated, the oil and gas content in the gas is determined by a gas chromatograph, and the measurement data is transmitted to the data processing module in real time.

[0014] The shale sample was cut into several micro-regions using a precision cutting tool. Each micro-region was used for individual pyrolysis analysis, and each micro-region was numbered and its location recorded.

[0015] Preferably, the temperature control module includes:

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

[0017] Using a temperature control module, pyrolysis analysis was performed on shale samples from each micro-region under different temperature conditions at different times by precisely controlling the heating rate and temperature.

[0018] In the initial stage, the shale samples were heated to a first temperature to release volatile organic compounds, and the data was recorded.

[0019] In the intermediate stage, the shale sample is heated to a second temperature to carry out the pyrolysis process of organic matter, generating methane, carbon dioxide and nitrogen.

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

[0021] Preferably, the analysis module includes:

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

[0023] Preferably, a spatial heterogeneity map of the core is generated based on the gas composition database. The oil and gas reserves and exploitation potential of the strata are analyzed based on the spatial heterogeneity map. Based on the changes in gas composition, the content and type of organic matter in different micro-regions are analyzed. By comparing the porosity data and gas composition of different regions, the pore structure and oil and gas storage status of each micro-region are inferred. Through data processing, high-gas-producing areas and low-gas-producing 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 characteristic data of the core are collected. The geological characteristic data includes permeability and rock type, and the rock type includes sandstone, shale and carbonate rock.

[0025] Outliers caused by measurement errors or data acquisition errors are excluded. For missing gas composition and porosity data, interpolation is performed to fill in the gaps. The concentration data of each gas component are normalized and standardized. The gas composition database, porosity data, and geological characteristic data of each micro-region are input into the three-dimensional spatial mapping tool Petrel for spatialization processing. A three-dimensional spatial distribution map of the gas composition database, porosity data, and geological characteristic data is drawn. The gas composition database, porosity data, and geological characteristic data are mapped to a unified and specific spatial coordinate system for data comparison.

[0026] By dividing micro-regions into unit regular grids, detailed micro-regions are obtained. The peak data of the three-dimensional spatial distribution map of each detailed micro-region is labeled. Based on porosity data and geological characteristic data, porosity data distribution maps of each micro-region are generated.

[0027] Based on the three-dimensional spatial distribution map, the proportions of gas components in different detailed micro-regions are compared, and the proportions of gas components are sorted. According to the sorting, they are divided into n level intervals. Based on the level intervals, the organic matter types and abundance rankings of organic matter in each detailed micro-region are obtained.

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

[0029] The abundance ranking of organic matter and porosity data are weighted and summed. The weighted summed data is then ranked and divided into m level intervals. The oil and gas reserve level of each detailed micro-region is obtained based on these level intervals. The lowest oil and gas reserve level is used as the unit data value to measure the oil and gas reserves of the detailed micro-region, obtaining the oil and gas reserve data of other detailed micro-regions. The oil and gas reserves of each detailed micro-region are ranked according to the relationship between the abundance ranking of organic matter, porosity data, and oil and gas reserves. This relationship includes:

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

[0031] The second porosity data region uses enhanced extraction technologies such as fracturing to improve oil and gas extraction efficiency.

[0032] The first gas-producing zone includes the first methane concentration and first porosity data, the first organic matter content, and the first permeability;

[0033] The second gas-producing zone includes data on second methane concentration and second porosity, second organic matter content, and 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 features according to the relationship between the geological structure and oil and gas reserves to obtain geological structure feature values. The geological structure feature values, the standardized organic matter content and the oil and gas reserves are sorted and weighted to obtain the deep oil and gas reserve distribution characteristics corresponding to each detailed micro-region. The deep oil and gas reserve distribution characteristics are mapped to each detailed micro-region to draw a spatial heterogeneity map.

[0035] The inferred oil and gas distribution and reserves are verified by test data obtained from actual drilling. If the test data differs from the actual situation, the weighted summation 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 version of the three-dimensional spatial distribution map. The map features of the detailed version of the 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 detailed three-dimensional spatial distribution map is modeled by constructing a pore network model inside the core through MIP membrane interface detection and superimposing pyrolysis product distribution data.

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

[0039] Preferably, the waste gas treatment module includes:

[0040] During the micro-zone pyrolysis process, the waste gas released during the heating of the shale sample is collected in real time by a gas collector. The waste gas includes volatile harmful substances, including methane, VOCs, and carbon dioxide. The waste gas is pretreated by a dust collector through a filtration device to remove solid particles and moisture. The pretreated waste gas enters a catalytic oxidation device, where a catalyst is used to oxidize the 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 beneficial effects of this invention are as follows: By heating shale samples in multiple stages through pyrolysis at different temperatures, different oil and gas components are released, thereby achieving more accurate and comprehensive oil and gas component analysis. This method can detect changes in volatile organic compounds, methane, carbon dioxide, nitrogen, and other gases at different temperatures, which helps to more accurately assess the oil and gas content and composition of the samples. By simultaneously analyzing the gas composition data of each micro-region, the system can generate a spatial heterogeneity map of the core sample, showing the oil and gas content, porosity, and organic matter distribution in different regions. This map can help determine the spatial distribution pattern of oil and gas, thus providing a scientific basis for oil and gas reserve assessment and exploitation potential prediction. During the processing of shale samples, the system collects and processes waste gas in real time, ensuring that harmful substances are effectively removed and that the emitted waste gas meets environmental protection standards. The waste gas is converted using a catalytic oxidation device, which can effectively reduce pollution and improve processing efficiency. A three-dimensional spatial mapping tool is used to spatially process the gas composition, porosity, and geological characteristic data of each micro-region, generating 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 exploitation potential, thus providing accurate predictions for oil and gas development. The temperature control module can adjust 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 features and organic matter content, the system assesses the distribution of deep oil and gas reserves using a weighted summation method. Based on the influence of geological structures on oil and gas accumulation, the system evaluates oil and gas reserves in different micro-regions and generates spatial heterogeneity maps, contributing to more precise oil and gas resource exploration. Attached Figure Description

[0043] Figure 1 This is a basic flowchart of a shale oil content and composition synchronous testing and analysis system provided in one embodiment of the present invention. Detailed Implementation

[0044] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

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

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

[0047] The temperature control module is used for adaptive control of the temperature adjustment of the sample acquisition module;

[0048] The analysis module is used to analyze and process the test data obtained from the gas acquisition module and the oil content measurement module simultaneously to obtain the oil content and composition information of the shale sample, compare and analyze the gas composition data of each micro-region, generate a spatial heterogeneity map of the core sample, and display 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, ensuring that harmful substances are effectively removed and emissions meet environmental protection standards.

[0050] The sample acquisition module includes:

[0051] Collect shale samples to be tested, and standardize the shale samples. The standardization process includes cutting, grinding and removing impurities. The standardized shale samples are then loaded into the test container according to the predetermined volume and mass.

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

[0053] After the sample is heated, the oil and gas content in the gas is determined by 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-regions using a precision cutting tool. Each micro-region is used for individual pyrolysis analysis. Each micro-region should have relatively uniform physical and chemical properties to ensure the accuracy of the analysis. Each micro-region is numbered and its location is 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 temperature feedback 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 a temperature control module, pyrolysis analysis was performed on shale samples from each micro-region under different temperature conditions at different times by precisely controlling the heating rate and temperature.

[0058] In the initial stage, the shale samples were heated to a first temperature to release volatile organic compounds, and the data was recorded.

[0059] In the intermediate stage, the shale sample is heated to a second temperature to carry out the pyrolysis process of organic matter, generating methane, carbon dioxide and nitrogen.

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

[0061] The analysis module includes:

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

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

[0064] Spatial heterogeneity maps of cores are generated based on gas composition databases. Oil and gas reserves and exploitation potential of strata are analyzed based on spatial heterogeneity maps. Organic matter content and types in different micro-regions are analyzed based on changes in gas composition. Porosity data and gas composition in different regions are compared to infer the pore structure and oil and gas storage status of each micro-region. Through data processing, high-gas-producing areas and low-gas-producing areas in the samples are identified, and oil and gas distribution patterns are further inferred.

[0065] Porosity data of shale samples were obtained through nuclear magnetic resonance and CT scans. Geological characteristic data of the cores were collected, including permeability and rock type, which included sandstone, shale and carbonate rocks.

[0066] Outliers caused by measurement errors or data acquisition mistakes are excluded. For missing gas composition and porosity data, interpolation is performed to fill in the gaps. The concentration data of each gas component are normalized and standardized. The gas composition database, porosity data, and geological characteristic data of each micro-region are input into the three-dimensional spatial mapping tool Petrel for spatialization processing. A three-dimensional spatial distribution map of the gas composition database, porosity data, and geological characteristic data is drawn. The gas composition database, porosity data, and geological characteristic data are mapped to a unified and specific spatial coordinate system for data comparison.

[0067] By dividing micro-regions into unit regular grids, detailed micro-regions are obtained. The peak data of the three-dimensional spatial distribution map of each detailed micro-region is labeled. Based on porosity data and geological characteristic data, porosity data distribution maps of each micro-region are generated.

[0068] Based on the three-dimensional spatial distribution map, the proportions of gas components in different detailed micro-regions are compared and sorted. According to the sorting, they are divided into n level intervals. The organic matter types and abundance rankings of each detailed micro-region are obtained according to the level intervals. Higher methane concentration indicates higher organic matter content, and lower concentration indicates lower organic matter content. A higher ethane to propane ratio indicates that the detailed micro-region has higher shale gas reservoir potential and higher oil generation potential. Higher CO2 concentration indicates that the detailed micro-region has a stronger hydrocarbon gas generation capacity, which also indicates 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 estimated oil and gas reserves in each detailed micro-region include:

[0070] The abundance ranking of organic matter and porosity data are weighted and summed. The weighted summed data is then ranked and divided into m level intervals. The oil and gas reserve levels of each detailed micro-region are obtained based on these level intervals. The lowest oil and gas reserve level is used as the unit data value to measure the oil and gas reserves of each detailed micro-region, obtaining the oil and gas reserve data for all other detailed micro-regions. The oil and gas reserves of each detailed micro-region are then ranked according to the relationship between the abundance ranking of organic matter, porosity data, and oil and gas reserves. This relationship includes:

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

[0072] The second porosity data region uses enhanced extraction technologies such as fracturing to improve oil and gas extraction efficiency.

[0073] The first gas-producing zone includes the first methane concentration and first porosity data, the first organic matter content, and the first permeability;

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

[0075] The geological structure and organic matter content of the shale sample were measured. The geological structure was then encoded using embedding layer features based on its relationship with oil and gas reserves to obtain geological structure feature values. The relationship between geological structure and oil and gas reserves includes the potential influence of fault and fold geological phenomena on oil and gas accumulation. The geological structure feature values, standardized organic matter content, and oil and gas reserves were weighted and summed to obtain the deep oil and gas reserve distribution characteristics corresponding to each detailed micro-region. The deep oil and gas reserve distribution characteristics were then mapped to each detailed micro-region to create a spatial heterogeneity map, which visualized the oil and gas reserve distribution of each micro-region in detail.

[0076] The inferred oil and gas distribution and reserves are verified by test data obtained from actual drilling. If there are differences between the test data and the actual situation, the weighted summation data is re-evaluated and the spatial heterogeneity map is updated in order to more accurately predict oil and gas resources and exploitation potential.

[0077] These steps enable a comprehensive analysis of the oil and gas reserves, exploitation potential, and distribution patterns of the rock formations, thus providing a scientific basis for subsequent oil and gas development.

[0078] By combining spatial heterogeneity maps with three-dimensional spatial distribution maps, a detailed version of the three-dimensional spatial distribution map is obtained. The map features of the detailed version of the three-dimensional spatial distribution map include organic matter content distribution maps, porosity data distribution maps, oil and gas distribution maps, and map accuracy and resolution.

[0079] The organic matter content distribution map reflects the abundance of organic matter in different regions of the rock strata. Areas with high organic matter content may correspond to higher oil and gas production.

[0080] Porosity data distribution diagrams show the porosity levels of different micro-regions, helping to determine the permeability and gas storage capacity of rock formations;

[0081] Oil and gas distribution maps, combined with organic matter content and porosity data, predict oil and gas distribution and potential exploitation areas;

[0082] Map accuracy and resolution depend on the fineness of the micro-region division and the accuracy of the data analysis. Generally, the smaller the micro-region division, the more accurate the generated spatial map.

[0083] The detailed three-dimensional spatial distribution map is modeled by constructing a pore network model inside the core through MIP membrane interface detection, and superimposing pyrolysis product distribution data to visualize the occurrence state and migration path of organic matter.

[0084] Statistical analysis of total organic carbon and pyrolysis parameters identifies and removes samples with abnormal hydrocarbon generation evolution caused by micro-transport, ensuring data reliability.

[0085] The exhaust gas treatment module includes:

[0086] During the micro-zone pyrolysis process, the waste gas released during the heating of shale samples is collected in real time by a gas collector. The waste gas includes volatile harmful substances, including methane, VOCs, and carbon dioxide. The waste gas is pretreated by a dust collector through a filtration device to remove solid particles and moisture. The pretreated waste gas enters a catalytic oxidation device, where a catalyst is used to oxidize the 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 waste gas, but also improve the efficiency of waste gas treatment, ensuring that the treated waste gas meets environmental protection standards.

[0088] The exhaust gas, after catalytic oxidation treatment, is discharged into the atmosphere through exhaust pipes. Necessary emission detection devices are installed at the emission outlets to regularly monitor the composition and concentration of the exhaust gas, ensuring continuous compliance with environmental protection requirements.

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

[0090] This invention employs a multi-stage heating process at varying temperatures to pyrolyze shale samples, releasing different oil and gas components. This enables more precise and comprehensive oil and gas composition analysis. The method can detect changes in volatile organic compounds, methane, carbon dioxide, nitrogen, and other gases at different temperatures, facilitating a 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, displaying the oil and gas content, porosity, and organic matter distribution in different areas. This map helps determine the spatial distribution pattern of oil and gas, providing a scientific basis for oil and gas reserve assessment and exploitation potential prediction. During shale sample processing, the system collects and treats waste gas in real time, ensuring effective removal of harmful substances and compliance with environmental standards. A catalytic oxidation device is used to convert the waste gas, effectively reducing pollution and improving treatment efficiency. A three-dimensional spatial mapping tool is used to spatially process the gas composition, porosity, and geological characteristic data of each micro-region, generating 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 exploitation potential, thus providing accurate predictions for oil and gas development. The temperature control module can adjust 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 features and organic matter content, the system assesses the distribution of deep oil and gas reserves using a weighted summation method. Based on the influence of geological structures on oil and gas accumulation, the system evaluates oil and gas reserves in different micro-regions and generates spatial heterogeneity maps, contributing to more precise oil and gas resource exploration.

[0091] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can 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 can 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 Red-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 storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more 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 it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A shale oil content and composition simultaneous test analysis system, characterized in that, The shale oil content and component synchronous testing and analysis system comprises a sample collection module, a temperature control module, an analysis module and a waste gas treatment module. The sample collection module is used for processing shale samples, collecting gas components released by shale samples in a heating process in real time, determining oil and gas content in shale samples, and quantitatively analyzing the gas components and the oil and gas content. The temperature control module is used for adaptively controlling temperature adjustment of the sample collection module. The analysis module is used for analyzing and synchronously processing test data obtained from the gas collection module and the oil content determination module, obtaining oil content and component information of shale samples, comparing and analyzing gas component data of each micro area, generating a spatial heterogeneity map of the core sample, and displaying oil and gas content, porosity data and organic matter distribution of different regions. The waste gas treatment module is used for treating waste gas in real time, ensuring that harmful substances are effectively removed, and ensuring that the waste gas meets environmental protection standards. The temperature control module comprises: The temperature sensor monitors the temperature in the heating process in real time, adjusts the heating rate and the target temperature according to the real-time feedback temperature signal, and automatically takes corrective measures if the temperature abnormally fluctuates. By using the temperature control module, the heating rate and the temperature are accurately controlled, and pyrolysis analysis is performed on each micro area of the shale sample under different temperature conditions at different times: In the initial stage, the shale sample is heated at a first temperature to release volatile organic matter, and data is recorded. In the middle stage, the shale sample is heated at a second temperature to perform a cracking process of organic matter to generate methane, carbon dioxide and nitrogen. In the final stage, the shale sample is heated at a third temperature to release oil and natural gas components.

2. The shale oil content and component simultaneous test analysis system of claim 1, wherein, The sample collection module comprises: The shale sample to be tested is collected, and the shale sample is subjected to standardization treatment, which comprises cutting, grinding and removing impurities. The shale sample after the standardization treatment is loaded into a test container according to a predetermined volume and mass. During the heating of the sample, the gas collection device is started to monitor and collect the gas released from the sample in real time. The gas collector is used to collect the gas, and the gas is transmitted to the gas analyzer for component analysis. After the sample is heated, the oil and gas content in the gas is determined by using the gas chromatograph of the 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 a plurality of micro areas by using a precision cutting tool. The micro areas are used for separate pyrolysis analysis, and each micro area is numbered and position recorded.

3. The shale oil content and component simultaneous test analysis system of claim 2, wherein, The analysis module comprises: The collected waste gas is analyzed by the mass spectrometer through the gas collector. The gas components include volatile organic matter, methane, ethane, nitrogen, propane, carbon dioxide, oil and natural gas components. The gas data collected by the gas collector is preprocessed, which comprises filtering noise, data calibration and unit conversion. The concentration of each gas is calculated according to the relationship between the peak area in the chromatogram and the standard curve by using the gas chromatography method. The gas components and temperature data of each micro area are recorded in the gas component database.

4. The shale oil content and component synchronous testing and analysis system according to claim 3, wherein: According to the gas composition database, a spatial heterogeneity map of the core is generated, the oil and gas reserves and exploitation potential of the rock formation are analyzed according to the spatial heterogeneity map, the organic matter content and type of different microzones are analyzed based on the change of the gas composition, the pore structure and the storage condition of oil and gas of each microzone are inferred by comparing the porosity data and the gas composition of different regions, through data processing, the high-yield gas area and the low-yield gas area in the sample are identified, and the oil and gas distribution pattern is further inferred.

5. The shale oil content and component synchronous test analysis system of claim 4, wherein: The porosity data of the shale sample is obtained by nuclear magnetic resonance and CT scanning, and the geological property data of the core is collected, including permeability and rock type, including sandstone, shale and carbonate rock; The abnormal values of measurement error or data acquisition error are excluded, the missing gas composition data and porosity data are interpolated and filled, the concentration data of each gas composition is normalized and standardized, the gas composition database, the porosity data and the geological property data of each microzone are input into the three-dimensional space mapping tool Petrel for spatialization processing, and a three-dimensional spatial distribution map about the gas composition database, the porosity data and the geological property data is drawn, which are mapped to specific spatial coordinates for data comparison; The microzones are divided by unit regular grid to obtain detailed microzones, and the image peak value data of the three-dimensional spatial distribution map of each detailed microzone is labeled, and the porosity data distribution map of each microzone is generated based on the porosity data and the geological property data; Based on the three-dimensional spatial distribution map, the gas composition proportions of different detailed microzones are compared, the gas composition proportions are sorted, the detailed microzones are divided into n grade intervals according to the sorting, the organic matter type and the abundance order of organic matter of each detailed microzone are obtained according to the grade intervals; According to the abundance order of organic matter and the porosity data, the oil and gas reserves of each detailed microzone are inferred, including: The abundance order of organic matter and the porosity data are weighted and summed, the weighted and summed data are sorted, the detailed microzones are divided into m grade intervals according to the sorting, the oil and gas reserves grade of each detailed microzone is obtained according to the grade intervals, the oil and gas reserves grade of the smallest grade is taken as a unit data value, the oil and gas reserves of the detailed microzone are measured, the oil and gas reserves data of other detailed microzones are obtained, the oil and gas reserves of each detailed microzone are sorted according to the relationship between the abundance order of organic matter, the porosity data and the oil and gas reserves, and the relationship includes: The first porosity data area represents the first oil and gas storage capacity, the first permeability and the first oil and gas exploitation potential; The second porosity data area improves the oil and gas exploitation efficiency by fracturing enhanced recovery technology; The first gas production area includes the first methane concentration and the first porosity data, the first organic matter content and the first permeability; The second gas production area includes the second methane concentration and the second porosity data, the second organic matter content and the second permeability.

6. The shale oil content and component synchronous testing and analyzing system of claim 5, wherein: the geological structure and the organic matter content of the shale sample are measured, the geological structure is embedded layer feature coded according to the relationship between the geological structure and the oil and gas reserves, a geological structure feature value is obtained, the geological structure feature value, the normalized organic matter content and the oil and gas reserves ranking are weighted summed to obtain a deep oil and gas reserves distribution feature corresponding to each detail microzone, the deep oil and gas reserves distribution feature is corresponded to each detail microzone, and a spatial heterogeneity map is drawn; the inferred oil and gas distribution and reserves are verified by the test data obtained through actual drilling, if the test data is different from the actual situation, the weight data of the weighted sum is re-evaluated, and the spatial heterogeneity map is updated.

7. The shale oil content and component synchronous testing and analyzing system of claim 6, wherein: the spatial heterogeneity map and the three-dimensional spatial distribution map are combined to obtain a detailed version of the three-dimensional spatial distribution map, and the map features of the detailed version of the three-dimensional spatial distribution map include an organic matter content distribution map, a porosity data distribution map, an oil and gas distribution map and a map accuracy and resolution; three-dimensional modeling of the detailed version of the three-dimensional spatial distribution map is performed by constructing a core internal pore network model through MIP membrane interface detection, and superimposing pyrolysis product distribution data; based on statistical analysis of total organic carbon and pyrolysis parameters, abnormal samples caused by micro-migration are identified and removed.

8. The shale oil content and component simultaneous test analysis system of claim 7, wherein, The exhaust gas treatment module comprises: During the microzone pyrolysis process, the exhaust gas released during the heating process of the shale sample is collected in real time through a gas collector, the exhaust gas includes volatile harmful substances, the volatile harmful substances include methane, VOCs and carbon dioxide, the exhaust gas is pretreated by a filter device dust collector to remove solid particles and moisture, the pretreated exhaust gas enters a catalytic oxidation device, and the catalyst is used to promote the oxidation reaction of the volatile harmful substances in the exhaust gas at a preset temperature to convert them into carbon dioxide and water.

9. The shale oil content and component synchronous testing and analyzing system of claim 8, wherein: the exhaust gas after catalytic oxidation treatment is discharged into the atmosphere through an exhaust pipe.

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