Shale organic porosity calculation method, device, medium, equipment and system

By collecting and detecting shale samples, determining the microscopic components and content of organic matter, and calculating its average face rate, the problem of calculating organic porosity in mixed organic matter shales was solved, and effective storage performance for shale Scientific and accurate evaluation of oil and gas-enriched layer segments.

CN119438021APending Publication Date: 2025-02-14CHINA PETROLEUM & CHEMICAL CORP +1
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Patent Information

Application Number
CN202310987912.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-08-07
Publication Date
2025-02-14

AI Technical Summary

Technical Problem

The prior art is difficult to effectively calculate the organic porosity in mixed organic shales, which affects the evaluation of the degree of oil and gas enrichment in the continental shale layer.

Method used

By collecting shale samples, detecting their various parameters, determining the type and content of organic microscopic components of organic matter, calculating the average porosity of organic matter, and calculating the organic porosity based on various parameters.

Benefits of technology

Quantitative characterization of the content of organic pores in shale rich in a variety of organic microscopic components is achieved, and scientific and accurate evaluation of the effective storage performance of shale and the oil and gas enrichment section are improved.

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Abstract

The invention relates to the technical field of shale oil-gas exploration, in particular to a shale organic porosity calculation method and device, a medium, equipment and a system. In order to calculate the organic pore porosity in the mixed organic matter shale, the shale organic porosity calculation method provided by the invention comprises the following steps: collecting a shale sample of a target layer section; detecting various parameters of the shale sample; determining types and contents of organic macerals of organic matters in the shale sample; calculating the average surface porosity of the organic matters in the shale sample of the target layer section according to the types and contents of the organic maceral components of the organic matters in the shale sample; and calculating the organic porosity of the shale sample of the target layer section according to various parameters of the shale sample and the average surface porosity of the organic matters. The method can realize quantitative characterization of the content of the organic pores in the shale rich in various organic macerals, and provides technical support for scientifically and accurately evaluating the effective reservoir performance of the shale and optimizing an oil-gas enrichment layer section.
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Description

Technical Field

[0001] The present invention relates to the technical field of shale oil and gas exploration, and in particular to a shale organic porosity calculation method, device, medium, equipment and system. Background Art

[0002] The study of shale reservoirs is a hot topic of concern in the field of shale oil and gas exploration and development at home and abroad, and the research trend has also developed from qualitative to quantitative. It is generally believed that the proportion of organic pores in shale and the contribution of organic pores to the total porosity are the key to determining the effectiveness and enrichment of shale gas reservoirs.

[0003] In recent years, with the continuous breakthroughs in the exploration and development of continental shale oil and gas in my country, the research on continental shale has increased. It is recognized that the differences in mineral composition, organic matter type and thermal evolution degree between continental shale and marine shale will inevitably lead to different reservoir pore development characteristics. In particular, the organic types of continental shale are diverse. Therefore, how to achieve quantitative calculation of organic pore porosity is crucial for evaluating the oil and gas enrichment degree of continental shale layers and selecting enriched layers. Summary of the invention

[0004] The present invention aims to solve the above-mentioned prior art problem, that is, how to calculate the porosity of organic pores in mixed organic shale.

[0005] In a first aspect, the present invention provides a method for calculating shale organic porosity, comprising:

[0006] Collect shale samples from the target interval;

[0007] Detecting various parameters of the shale sample;

[0008] Determining the type and content of organic maceral components of organic matter in the shale sample;

[0009] Calculate the average porosity of organic matter in the shale sample of the target layer according to the type and content of organic microscopic components of organic matter in the shale sample;

[0010] The organic porosity of the shale sample in the target layer is calculated according to various parameters of the shale sample and the average porosity of the organic matter.

[0011] Preferably, the detection of various parameters of the shale sample includes:

[0012] The TOC, shale porosity and shale density in the shale sample are detected.

[0013] Preferably, the determining the type and content of organic maceral components of organic matter in the shale sample comprises:

[0014] The types and contents of organic microscopic components of porous organic matter and non-porous organic matter in the shale sample are determined.

[0015] Preferably, the determining of the types and contents of organic macerals of porous organic matter and non-porous organic matter in the shale sample comprises:

[0016] Classifying the organic matter in the shale sample into porous organic matter and non-porous organic matter;

[0017] The types and contents of organic microscopic components of the porous organic matter and the non-porous organic matter are determined.

[0018] Preferably, the calculating the average porosity of all organic matter in the shale sample comprises:

[0019] Obtain the amount and equivalent diameter of organic matter and organic pores;

[0020] Calculate the surface area ratio of each organic matter based on the organic matter and the equivalent diameter of the organic pores;

[0021] The average surface ratio of organic matter in the shale sample of the target layer is calculated according to the surface ratio of each organic matter.

[0022] Preferably, obtaining the number and equivalent diameter of organic matter and organic pores comprises:

[0023] Scanning the shale sample with an electron microscope to obtain an electron microscope scanning photograph;

[0024] Select electron microscope scanning photos that can clearly characterize the morphology of organic pore development;

[0025] The organic matter and the number and equivalent diameter of the organic pores are identified based on the electron microscope scanning photographs.

[0026] Preferably, the calculating the surface area ratio of each organic matter according to the organic matter and the equivalent diameter of the organic pores comprises:

[0027] Calculating the area of ​​each organic matter according to the equivalent diameter of the organic matter;

[0028] Calculating the total area of ​​the organic pores according to the equivalent diameter and number of the organic pores;

[0029] The surface ratio of each organic matter is calculated based on the area of ​​the organic matter and the total area of ​​the organic pores.

[0030] Preferably, it also includes:

[0031] The organic pore ratio of the shale sample is calculated and used to evaluate the contribution of organic pores to the total porosity.

[0032] In a second aspect, the present invention provides a shale organic porosity calculation device, comprising:

[0033] A sample collection unit, which is used to collect shale samples from a target layer;

[0034] A sample detection unit, which is used to detect various parameters of the shale sample;

[0035] An organic microscopic component analysis unit, which is used to determine the type and content of organic microscopic components of organic matter in the shale sample;

[0036] An average surface ratio calculation unit, which is used to calculate the average surface ratio of organic matter in the shale sample of the target layer;

[0037] The organic porosity calculation unit is used to calculate the organic porosity of the shale sample in the target layer according to various parameters of the shale sample and the average surface area ratio of the organic matter.

[0038] In a third aspect, the present invention provides a storage medium storing a computer program, wherein when the computer program is executed by a processor, the method described in the first aspect is implemented.

[0039] In a fourth aspect, the present invention provides an electronic device, comprising: a memory and a processor communicatively connected to the memory, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in the first aspect is implemented.

[0040] In a fifth aspect, the present invention provides a shale organic porosity calculation system, comprising:

[0041] A shale sample drilling platform, which is used to drill shale samples in the target layer;

[0042] The electronic device described in the fourth aspect.

[0043] Through the above technical solution, the present invention has the following beneficial effects:

[0044] The method for calculating the organic porosity of mixed organic shale proposed in the present invention can realize the quantitative characterization of the organic pore content in shale rich in various organic microscopic components, and provide technical support for the scientific and accurate evaluation of the effective reservoir performance of shale and the optimization of oil and gas rich layers. In particular, the quantitative characterization of the organic pores in continental shale reservoirs dominated by mixed organic shale with frequently changing organic matter types has important practical application value for the effective evaluation of reservoir performance and the optimization of oil and gas rich layers in drilling. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the main steps of the method provided in Example 1;

[0046] Figure 2 It is a schematic diagram of the main steps to determine the type and content of organic microscopic components of organic matter in shale samples;

[0047] Figure 3 It is a schematic diagram of the main steps to calculate the average porosity of all organic matter in a shale sample;

[0048] Figure 4 It is a schematic diagram of the main steps to obtain the organic matter and the number and equivalent diameter of organic pores;

[0049] Figure 5 It is a schematic diagram of the main steps in calculating the face ratio of each organic matter;

[0050] Figure 6 is a schematic diagram of the steps of the method provided in Example 7;

[0051] Figure 7 This is a scanning electron microscope photo of shale;

[0052] Figure 8 It is an organic matter identification image;

[0053] Fig. 9 It is an organic hole recognition image;

[0054] Fig.10 is a table of relevant parameters of the identified organic pores. DETAILED DESCRIPTION

[0055] The present disclosure is further described below in conjunction with the embodiments shown in the accompanying drawings.

[0056] In a first aspect, this embodiment provides a method for calculating shale organic porosity.

[0057] Example 1

[0058] Reference Figure 1 The method for calculating shale organic porosity provided in this embodiment includes the following steps:

[0059] S1. Collect shale samples from the target layer;

[0060] S2. Detect various parameters of shale samples;

[0061] S3. Determine the type and content of organic microscopic components of organic matter in shale samples;

[0062] S4. Calculate the average porosity of organic matter in the shale sample of the target layer according to the type and content of organic microscopic components of organic matter in the shale sample;

[0063] S5. Calculate the organic porosity of the shale sample in the target layer based on various parameters of the shale sample and the average porosity of organic matter.

[0064] It should be noted that the shale samples of the target layer collected in step S1 are shale samples of different layers in the rock formation vertically, and the organic porosity of the shale samples of the target layer calculated in step S5 is the organic porosity of shale samples of different layers in the rock formation vertically.

[0065] It can realize the quantitative characterization of the organic pore content in shales rich in various organic microscopic components, and provide technical support for the scientific and accurate evaluation of the effective reservoir performance of shales and the optimization of oil and gas rich layers. It is especially valuable for the quantitative characterization of organic pores in continental shale reservoirs dominated by mixed organic shales with frequent changes in organic matter types, the effective evaluation of reservoir performance and the optimization of oil and gas rich layers in drilling.

[0066] Example 2

[0067] Reference Figure 1 The method for calculating shale organic porosity provided in this embodiment includes the following steps:

[0068] S1. Collect shale samples from the target layer;

[0069] S2. Detect various parameters of shale samples;

[0070] S3. Determine the type and content of organic microscopic components of organic matter in shale samples;

[0071] The organic matter whose types and contents of organic microscopic components need to be determined includes: determining the types and contents of organic microscopic components of porous organic matter and non-porous organic matter in shale samples.

[0072] Reference Figure 2 , step S3 specifically includes:

[0073] S31. Classify the organic matter in shale samples into porous organic matter and non-porous organic matter; use argon ion polishing-scanning electron microscopy to identify and analyze, and divide the organic matter into two categories, porous organic matter and non-porous organic matter, according to the presence or absence of pore development, and summarize the content and structural characteristics of the two types of organic matter respectively;

[0074] S32. Determine the types and contents of organic microscopic components of porous organic matter and non-porous organic matter;

[0075] Whole-rock optical section organic microscopic component analysis was used to determine the types, contents and structural characteristics of the main organic microscopic components in the samples.

[0076] The whole-rock optical section organic microscopic component analysis combined with argon ion polishing-scanning electron microscopy was used to identify the microscopic component types of non-porous organic matter and porous organic matter based on morphology, size, content, etc. The experimental results show that the proportion of porous microscopic components in each sample (B h ) Use in sequence: B 1 , B 1 , B 1 ……B n express.

[0077] It should be noted that there is no order restriction between step S31 and step S32. The naming of S31 and S32 is only for the convenience of description. Those skilled in the art can adjust the order of steps S31 and S32 according to actual conditions.

[0078] S4. Calculate the average porosity of organic matter in the shale sample of the target layer according to the type and content of organic microscopic components of organic matter in the shale sample;

[0079] S5. Calculate the organic porosity of the shale sample in the target layer based on various parameters of the shale sample and the average porosity of organic matter.

[0080] It should be noted that the shale samples of the target layer section collected in step S1 are shale samples of different layers in the rock layer in the vertical direction, and the organic porosity of the shale samples of the target layer section calculated in step S5 is the organic porosity of the shale samples of different layers in the vertical direction. The various parameters of the shale samples that need to be tested in step S2 include: the organic carbon content TOC (Total Oxygen Carbon) of the shale samples, shale porosity, shale density and other parameters.

[0081] It can realize the quantitative characterization of the organic pore content in shales rich in various organic microscopic components, and provide technical support for the scientific and accurate evaluation of the effective reservoir performance of shales and the optimization of oil and gas rich layers. It is especially valuable for the quantitative characterization of organic pores in continental shale reservoirs dominated by mixed organic shales with frequent changes in organic matter types, the effective evaluation of reservoir performance and the optimization of oil and gas rich layers in drilling.

[0082] Example 3

[0083] Reference Figure 1 The method for calculating shale organic porosity provided in this embodiment includes the following steps:

[0084] S1. Collect shale samples from the target layer;

[0085] S2. Detect various parameters of shale samples;

[0086] S3. Determine the type and content of organic microscopic components of organic matter in shale samples;

[0087] The organic matter whose types and contents of organic microscopic components need to be determined includes: determining the types and contents of organic microscopic components of porous organic matter and non-porous organic matter in shale samples.

[0088] Reference Figure 2 , step S3 specifically includes:

[0089] S31. Classify the organic matter in shale samples into porous organic matter and non-porous organic matter; use argon ion polishing-scanning electron microscopy to identify and analyze, and divide the organic matter into two categories, porous organic matter and non-porous organic matter, according to the presence or absence of pore development, and summarize the content and structural characteristics of the two types of organic matter respectively;

[0090] S32. Determine the types and contents of organic microscopic components of porous organic matter and non-porous organic matter;

[0091] Whole-rock optical section organic microscopic component analysis was used to determine the types, contents and structural characteristics of the main organic microscopic components in the samples.

[0092] The whole-rock optical section organic microscopic component analysis combined with argon ion polishing-scanning electron microscopy was used to identify the microscopic component types of non-porous organic matter and porous organic matter based on morphology, size, content, etc. The experimental results show that the proportion of porous microscopic components in each sample (B h ) Use in sequence: B 1 , B 1 , B 1 ……B n express.

[0093] It should be noted that there is no order restriction between step S31 and step S32. The naming of S31 and S32 is only for the convenience of description. Those skilled in the art can adjust the order of steps S31 and S32 according to actual conditions.

[0094] S4. Calculate the average porosity of organic matter in the shale sample of the target layer according to the type and content of organic microscopic components of organic matter in the shale sample;

[0095] Reference Figure 3 , step S4 comprises the following steps:

[0096] S41. Obtaining the amount and equivalent diameter of organic matter and organic pores;

[0097] S42. Calculate the surface area ratio of each organic matter based on the organic matter and the equivalent diameter of the organic pores;

[0098] S43. Calculate the average surface ratio of organic matter in the shale sample of the target layer based on the surface ratio of each organic matter.

[0099] S5. Calculate the organic porosity of the shale sample in the target layer based on various parameters of the shale sample and the average porosity of organic matter.

[0100] It should be noted that the shale samples of the target layer section collected in step S1 are shale samples of different layers in the rock layer in the vertical direction, and the organic porosity of the shale samples of the target layer section calculated in step S5 is the organic porosity of the shale samples of different layers in the vertical direction. The various parameters of the shale samples that need to be tested in step S2 include: the organic carbon content TOC (Total Oxygen Carbon) of the shale samples, shale porosity, shale density and other parameters.

[0101] It can realize the quantitative characterization of the organic pore content in shales rich in various organic microscopic components, and provide technical support for the scientific and accurate evaluation of the effective reservoir performance of shales and the optimization of oil and gas rich layers. It is especially valuable for the quantitative characterization of organic pores in continental shale reservoirs dominated by mixed organic shales with frequent changes in organic matter types, the effective evaluation of reservoir performance and the optimization of oil and gas rich layers in drilling.

[0102] Example 4

[0103] Reference Figure 1 The method for calculating shale organic porosity provided in this embodiment includes the following steps:

[0104] S1. Collect shale samples from the target layer;

[0105] S2. Detect various parameters of shale samples;

[0106] S3. Determine the type and content of organic microscopic components of organic matter in shale samples;

[0107] The organic matter whose types and contents of organic microscopic components need to be determined includes: determining the types and contents of organic microscopic components of porous organic matter and non-porous organic matter in shale samples.

[0108] Reference Figure 2 , step S3 specifically includes:

[0109] S31. Classify the organic matter in shale samples into porous organic matter and non-porous organic matter; use argon ion polishing-scanning electron microscopy to identify and analyze, and divide the organic matter into two categories, porous organic matter and non-porous organic matter, according to the presence or absence of pore development, and summarize the content and structural characteristics of the two types of organic matter respectively;

[0110] S32. Determine the types and contents of organic microscopic components of porous organic matter and non-porous organic matter;

[0111] Whole-rock optical section organic microscopic component analysis was used to determine the types, contents and structural characteristics of the main organic microscopic components in the samples.

[0112] The whole-rock optical section organic microscopic component analysis combined with argon ion polishing-scanning electron microscopy was used to identify the microscopic component types of non-porous organic matter and porous organic matter based on morphology, size, content, etc. The experimental results show that the proportion of porous microscopic components in each sample (B h ) Use in sequence: B 1 , B 1 , B 1 ……B n express.

[0113] It should be noted that there is no order restriction between step S31 and step S32. The naming of S31 and S32 is only for the convenience of description. Those skilled in the art can adjust the order of steps S31 and S32 according to actual conditions.

[0114] S4. Calculate the average porosity of organic matter in the shale sample of the target layer according to the type and content of organic microscopic components of organic matter in the shale sample;

[0115] Reference Figure 3 , step S4 comprises the following steps:

[0116] S41. Obtaining the amount and equivalent diameter of organic matter and organic pores;

[0117] Reference Figure 4 , step S41 comprises the following steps:

[0118] S411. Scan the shale sample with an electron microscope to obtain an electron microscope scanning photograph; in this step, the electron microscope scanning photograph obtained during the argon ion polishing-scanning electron microscope identification and analysis in step S31 is used, and a separate electron microscope scan is not performed.

[0119] S412. Select electron microscope scanning photos that can clearly characterize the development morphology of organic pores; select argon ion polishing-scanning electron microscope photos with the same or similar magnification as those used in argon ion polishing-scanning electron microscope identification and analysis that can clearly characterize the development morphology of organic pores.

[0120] S413. Identify the number and equivalent diameter of organic matter and organic pores based on the electron microscope scanning photos. Use image processing recognition technology to set grayscale thresholds for organic matter, organic pores, inorganic minerals and inorganic pores, respectively, and identify the number and equivalent diameter of organic matter and organic pores.

[0121] S42. Calculate the surface area ratio of each organic matter based on the organic matter and the equivalent diameter of the organic pores;

[0122] S43. Calculate the average surface ratio of organic matter in the shale sample of the target layer based on the surface ratio of each organic matter.

[0123] S5. Calculate the organic porosity of the shale sample in the target layer based on various parameters of the shale sample and the average porosity of organic matter.

[0124] It should be noted that the shale samples of the target layer section collected in step S1 are shale samples of different layers in the rock layer in the vertical direction, and the organic porosity of the shale samples of the target layer section calculated in step S5 is the organic porosity of the shale samples of different layers in the vertical direction. The various parameters of the shale samples that need to be tested in step S2 include: the organic carbon content TOC (Total Oxygen Carbon) of the shale samples, shale porosity, shale density and other parameters.

[0125] It can realize the quantitative characterization of the organic pore content in shales rich in various organic microscopic components, and provide technical support for the scientific and accurate evaluation of the effective reservoir performance of shales and the optimization of oil and gas rich layers. It is especially valuable for the quantitative characterization of organic pores in continental shale reservoirs dominated by mixed organic shales with frequent changes in organic matter types, the effective evaluation of reservoir performance and the optimization of oil and gas rich layers in drilling.

[0126] Example 5

[0127] Reference Figure 1 The method for calculating shale organic porosity provided in this embodiment includes the following steps:

[0128] S1. Collect shale samples from the target layer;

[0129] S2. Detect various parameters of shale samples;

[0130] S3. Determine the type and content of organic microscopic components of organic matter in shale samples;

[0131] The organic matter whose types and contents of organic microscopic components need to be determined in step S3 includes: determining the types and contents of organic microscopic components of porous organic matter and non-porous organic matter in the shale sample.

[0132] Reference Figure 2 , step S3 specifically includes:

[0133] S31. Classify the organic matter in shale samples into porous organic matter and non-porous organic matter; use argon ion polishing-scanning electron microscopy to identify and analyze, and divide the organic matter into two categories, porous organic matter and non-porous organic matter, according to the presence or absence of pore development, and summarize the content and structural characteristics of the two types of organic matter respectively;

[0134] S32. Determine the types and contents of organic microscopic components of porous organic matter and non-porous organic matter;

[0135] Whole-rock optical section organic microscopic component analysis was used to determine the types, contents and structural characteristics of the main organic microscopic components in the samples.

[0136] The whole-rock optical section organic microscopic component analysis combined with argon ion polishing-scanning electron microscopy was used to identify the microscopic component types of non-porous organic matter and porous organic matter based on morphology, size, content, etc. The experimental results show that the proportion of porous microscopic components in each sample (B h ) Use in sequence: B 1 , B 1 , B 1 ……B n express.

[0137] It should be noted that there is no order restriction between step S31 and step S32. The naming of S31 and S32 is only for the convenience of description. Those skilled in the art can adjust the order of steps S31 and S32 according to actual conditions.

[0138] S4. Calculate the average porosity of organic matter in the shale sample of the target layer according to the type and content of organic microscopic components of organic matter in the shale sample;

[0139] Reference Figure 3 , step S4 comprises the following steps:

[0140] S41. Obtaining the amount and equivalent diameter of organic matter and organic pores;

[0141] Reference Figure 4 , step S41 comprises the following steps:

[0142] S411. Scan the shale sample with an electron microscope to obtain an electron microscope scanning photograph; in this step, the electron microscope scanning photograph obtained during the argon ion polishing-scanning electron microscope identification and analysis in step S31 is used, and a separate electron microscope scan is not performed.

[0143] S412. Select electron microscope scanning photos that can clearly characterize the development morphology of organic pores; select argon ion polishing-scanning electron microscope photos with the same or similar magnification as those used in argon ion polishing-scanning electron microscope identification and analysis that can clearly characterize the development morphology of organic pores.

[0144] S413. Identify the number and equivalent diameter of organic matter and organic pores based on the electron microscope scanning photos. Use image processing recognition technology to set grayscale thresholds for organic matter, organic pores, inorganic minerals and inorganic pores, respectively, and identify the number and equivalent diameter of organic matter and organic pores.

[0145] S42. Calculate the surface area ratio of each organic matter based on the organic matter and the equivalent diameter of the organic pores;

[0146] Reference Figure 5 , step S42 comprises the following steps:

[0147] S421. Calculate the area of ​​each organic matter based on the equivalent diameter of the organic matter; calculate the area of ​​each organic matter using the following formula:

[0148] S i =π*(D i / 2) 2

[0149] Among them, S i is the area of ​​the i-th organic matter, μm2, i = 1, 2, 3…n; D i is the diameter of the ith organic matter, μm.

[0150] S422. Calculate the total area of ​​the organic pores according to the equivalent diameter and number of the organic pores; calculate the total area of ​​the organic pores according to the following calculation formula:

[0151]

[0152] Among them, A i is the total area of ​​all organic pores in a certain organic matter, μm 2 ; j is an organic pore (j = 1, 2, 3...n); d j is the diameter of a certain organic pore, μm.

[0153] S423. Calculate the surface ratio of each organic matter based on the area of ​​the organic matter and the total area of ​​the organic pores; calculate the area ratio of each organic matter by the following calculation formula:

[0154] E i =A i / S i *100%

[0155] Among them, E i is the area ratio of a certain organic matter, S i is the area of ​​a certain organic matter, A i It is the total area of ​​all organic pores in a certain organic matter.

[0156] In step S43, the average porosity of organic matter in the shale sample is calculated by the following formula:

[0157] E 平 =(E 1 +E 2 +E 1 +……E n ) / n

[0158] Among them, E 平 is the average area ratio, and n is the amount of organic matter.

[0159] S43. Calculate the average surface ratio of organic matter in the shale sample of the target layer based on the surface ratio of each organic matter.

[0160] S5. Calculate the organic porosity of the shale sample in the target layer based on various parameters of the shale sample and the average porosity of organic matter.

[0161] It should be noted that the shale samples of the target layer section collected in step S1 are shale samples of different layers in the rock layer in the vertical direction, and the organic porosity of the shale samples of the target layer section calculated in step S5 is the organic porosity of the shale samples of different layers in the vertical direction. The various parameters of the shale samples that need to be tested in step S2 include: the organic carbon content TOC (Total Oxygen Carbon) of the shale samples, shale porosity, shale density and other parameters.

[0162] It can realize the quantitative characterization of the organic pore content in shales rich in various organic microscopic components, and provide technical support for the scientific and accurate evaluation of the effective reservoir performance of shales and the optimization of oil and gas rich layers. It is especially valuable for the quantitative characterization of organic pores in continental shale reservoirs dominated by mixed organic shales with frequent changes in organic matter types, the effective evaluation of reservoir performance and the optimization of oil and gas rich layers in drilling.

[0163] Example 6

[0164] Reference Figure 1 The method for calculating shale organic porosity provided in this embodiment includes the following steps:

[0165] S1. Collect shale samples from the target layer;

[0166] S2. Detect various parameters of shale samples;

[0167] S3. Determine the type and content of organic microscopic components of organic matter in shale samples;

[0168] The organic matter whose types and contents of organic microscopic components need to be determined in step S3 includes: determining the types and contents of organic microscopic components of porous organic matter and non-porous organic matter in the shale sample.

[0169] Reference Figure 2 , step S3 specifically includes:

[0170] S31. Classify the organic matter in shale samples into porous organic matter and non-porous organic matter; use argon ion polishing-scanning electron microscopy to identify and analyze, and divide the organic matter into two categories, porous organic matter and non-porous organic matter, according to the presence or absence of pore development, and summarize the content and structural characteristics of the two types of organic matter respectively;

[0171] S32. Determine the types and contents of organic microscopic components of porous organic matter and non-porous organic matter;

[0172] Whole-rock optical section organic microscopic component analysis was used to determine the types, contents and structural characteristics of the main organic microscopic components in the samples.

[0173] The whole-rock optical section organic microscopic component analysis combined with argon ion polishing-scanning electron microscopy was used to identify the microscopic component types of non-porous organic matter and porous organic matter based on morphology, size, content, etc. The experimental results show that the proportion of porous microscopic components in each sample (B h ) Use in sequence: B 1 , B 1 , B 1 ……B n express.

[0174] It should be noted that there is no order restriction between step S31 and step S32. The naming of S31 and S32 is only for the convenience of description. Those skilled in the art can adjust the order of steps S31 and S32 according to actual conditions.

[0175] S4. Calculate the average porosity of organic matter in the shale sample of the target layer according to the type and content of organic microscopic components of organic matter in the shale sample;

[0176] Reference Figure 3 , step S4 comprises the following steps:

[0177] S41. Obtaining the amount and equivalent diameter of organic matter and organic pores;

[0178] Reference Figure 4 , step S41 comprises the following steps:

[0179] S411. Scan the shale sample with an electron microscope to obtain an electron microscope scanning photograph; in this step, the electron microscope scanning photograph obtained during the argon ion polishing-scanning electron microscope identification and analysis in step S31 is used, and a separate electron microscope scan is not performed.

[0180] S412. Select electron microscope scanning photos that can clearly characterize the development morphology of organic pores; select argon ion polishing-scanning electron microscope photos with the same or similar magnification as those used in argon ion polishing-scanning electron microscope identification and analysis that can clearly characterize the development morphology of organic pores.

[0181] S413. Identify the number and equivalent diameter of organic matter and organic pores based on the electron microscope scanning photos. Use image processing recognition technology to set grayscale thresholds for organic matter, organic pores, inorganic minerals and inorganic pores, respectively, and identify the number and equivalent diameter of organic matter and organic pores.

[0182] S42. Calculate the surface area ratio of each organic matter based on the organic matter and the equivalent diameter of the organic pores;

[0183] Reference Figure 5 , step S42 comprises the following steps:

[0184] S421. Calculate the area of ​​each organic matter based on the equivalent diameter of the organic matter; calculate the area of ​​each organic matter using the following formula:

[0185] S i =π*(D i / 2) 2

[0186] Among them, S i The area of ​​a certain organic matter, μm2; i is a certain organic matter (i=1,2,3…n); D i is the diameter of a certain organic matter, μm.

[0187] S422. Calculate the total area of ​​the organic pores according to the equivalent diameter and number of the organic pores; calculate the total area of ​​the organic pores according to the following calculation formula:

[0188]

[0189] Among them, A i is the total area of ​​all organic pores in a certain organic matter, μm 2 ; j is an organic pore (j = 1, 2, 3...n); d j is the diameter of a certain organic pore, μm.

[0190] S423. Calculate the surface ratio of each organic matter based on the area of ​​the organic matter and the total area of ​​the organic pores; calculate the area ratio of each organic matter by the following calculation formula:

[0191] E i =A i / S i *100%

[0192] Among them, E i is the area ratio of a certain organic matter, S i is the area of ​​a certain organic matter, A i It is the total area of ​​all organic pores in a certain organic matter.

[0193] S43. Calculate the average surface ratio of organic matter in the shale sample of the target layer according to the surface ratio of each organic matter. Calculate the average surface ratio of organic matter in the shale sample by the following calculation formula:

[0194] E 平 =(E 1 +E 2 +E 1 +……E n ) / n

[0195] Among them, E 平 is the average area ratio, and n is the amount of organic matter.

[0196] S5. Calculate the organic porosity of the shale sample in the target layer based on various parameters of the shale sample and the average porosity of organic matter.

[0197] It should be noted that the shale samples of the target layer section collected in step S1 are shale samples of different layers in the rock layer in the vertical direction, and the organic porosity of the shale samples of the target layer section calculated in step S5 is the organic porosity of the shale samples of different layers in the vertical direction. The various parameters of the shale samples that need to be tested in step S2 include: the organic carbon content TOC (Total Oxygen Carbon) of the shale samples, shale porosity, shale density and other parameters.

[0198] In step S5, the organic porosity is calculated by the following formula:

[0199] P h =TOC h *(ρ h / ρ 干 )*B h *E 平 *10 4

[0200] Among them, P h is the porosity of organic pores; ρ h is the shale density; ρ 干 is the density of mixed kerogen; B h It is the percentage of porous microscopic components (asphalt).

[0201] It can realize the quantitative characterization of the organic pore content in shales rich in various organic microscopic components, and provide technical support for the scientific and accurate evaluation of the effective reservoir performance of shales and the optimization of oil and gas rich layers. It is especially valuable for the quantitative characterization of organic pores in continental shale reservoirs dominated by mixed organic shales with frequent changes in organic matter types, the effective evaluation of reservoir performance and the optimization of oil and gas rich layers in drilling.

[0202] Example 7

[0203] Reference Figure 6 The method for calculating shale organic porosity provided in this embodiment includes the following steps:

[0204] S1. Collect shale samples from the target layer;

[0205] S2. Detect various parameters of shale samples;

[0206] S3. Determine the type and content of organic microscopic components of organic matter in shale samples;

[0207] The organic matter whose types and contents of organic microscopic components need to be determined includes: determining the types and contents of organic microscopic components of porous organic matter and non-porous organic matter in shale samples.

[0208] Reference Figure 2 , step S3 specifically includes:

[0209] S31. Classify the organic matter in shale samples into porous organic matter and non-porous organic matter; use argon ion polishing-scanning electron microscopy to identify and analyze, and divide the organic matter into two categories, porous organic matter and non-porous organic matter, according to the presence or absence of pore development, and summarize the content and structural characteristics of the two types of organic matter respectively;

[0210] S32. Determine the types and contents of organic microscopic components of porous organic matter and non-porous organic matter;

[0211] Whole-rock optical section organic microscopic component analysis was used to determine the types, contents and structural characteristics of the main organic microscopic components in the samples.

[0212] The whole-rock optical section organic microscopic component analysis combined with argon ion polishing-scanning electron microscopy was used to identify the microscopic component types of non-porous organic matter and porous organic matter based on morphology, size, content, etc. The experimental results show that the proportion of porous microscopic components in each sample (B h ) Use in sequence: B 1 , B 1 , B 1 ……B n express.

[0213] It should be noted that there is no order restriction between step S31 and step S32. The naming of S31 and S32 is only for the convenience of description. Those skilled in the art can adjust the order of steps S31 and S32 according to actual conditions.

[0214] S4. Calculate the average porosity of organic matter in the shale sample of the target layer according to the type and content of organic microscopic components of organic matter in the shale sample;

[0215] Reference Figure 3 , step S4 comprises the following steps:

[0216] S41. Obtaining the amount and equivalent diameter of organic matter and organic pores;

[0217] Reference Figure 4 , step S41 comprises the following steps:

[0218] S411. Scan the shale sample with an electron microscope to obtain an electron microscope scanning photograph; in this step, the electron microscope scanning photograph obtained during the argon ion polishing-scanning electron microscope identification and analysis in step S31 is used, and a separate electron microscope scan is not performed.

[0219] S412. Select electron microscope scanning photos that can clearly characterize the development morphology of organic pores; select argon ion polishing-scanning electron microscope photos with the same or similar magnification as those used in argon ion polishing-scanning electron microscope identification and analysis that can clearly characterize the development morphology of organic pores.

[0220] S413. Identify the number and equivalent diameter of organic matter and organic pores based on the electron microscope scanning photos. Use image processing recognition technology to set grayscale thresholds for organic matter, organic pores, inorganic minerals and inorganic pores, respectively, and identify the number and equivalent diameter of organic matter and organic pores.

[0221] S42. Calculate the surface area ratio of each organic matter based on the organic matter and the equivalent diameter of the organic pores;

[0222] Reference Figure 5 , step S42 comprises the following steps:

[0223] S421. Calculate the area of ​​each organic matter based on the equivalent diameter of the organic matter; calculate the area of ​​each organic matter using the following formula:

[0224] S i =π*(D i / 2) 2

[0225] Among them, S i The area of ​​a certain organic matter, μm2; i is a certain organic matter (i=1,2,3…n); D i is the diameter of a certain organic matter, μm.

[0226] S422. Calculate the total area of ​​the organic pores according to the equivalent diameter and number of the organic pores; calculate the total area of ​​the organic pores according to the following calculation formula:

[0227]

[0228] Among them, A i is the total area of ​​all organic pores in a certain organic matter, μm 2 ; j is an organic pore (j = 1, 2, 3...n); d jis the diameter of a certain organic pore, μm.

[0229] S423. Calculate the surface ratio of each organic matter based on the area of ​​the organic matter and the total area of ​​the organic pores; calculate the area ratio of each organic matter by the following calculation formula:

[0230] E i =A i / S i *100%

[0231] Among them, E i is the area ratio of a certain organic matter, S i is the area of ​​a certain organic matter, A i It is the total area of ​​all organic pores in a certain organic matter.

[0232] In step S43, the average porosity of organic matter in the shale sample is calculated by the following formula:

[0233] E 平 =(E 1 +E 2 +E 1 +……E n ) / n

[0234] Among them, E 平 is the average area ratio, and n is the amount of organic matter.

[0235] S43. Calculate the average surface ratio of organic matter in the shale sample of the target layer based on the surface ratio of each organic matter.

[0236] In step S5, the organic porosity is calculated by the following formula:

[0237] P h =TOC h *(ρ h / ρ 干 )*B h *E 平 *10 4

[0238] Among them, P h is the porosity of organic pores; ρ h is the shale density; ρ 干 is the density of mixed kerogen; B h It is the percentage of porous microscopic components (asphalt).

[0239] S5. Calculate the organic porosity of the shale sample in the target layer according to various parameters of the shale sample and the average porosity of organic matter;

[0240] S6. Calculate the organic pore ratio of the shale sample and use it to evaluate the contribution of organic pores to the total porosity.

[0241] It should be noted that the shale samples of the target layer section collected in step S1 are shale samples of different layers in the rock layer in the vertical direction, and the organic porosity of the shale samples of the target layer section calculated in step S5 is the organic porosity of the shale samples of different layers in the vertical direction. The various parameters of the shale samples that need to be tested in step S2 include: the organic carbon content TOC (Total Oxygen Carbon) of the shale samples, shale porosity, shale density and other parameters.

[0242] The specific process of the method of this embodiment is explained by taking the calculation of organic porosity of a shale sample of the YB2 artesian well group as an example.

[0243] Drill shale samples from the YB2 artesian well group to obtain shale samples from the target layer.

[0244] Indoor analysis and testing were carried out on the collected shale samples, and the TOC was measured to be 1.56%. The organic microscopic components of the whole rock were identified by argon ion polishing-scanning electron microscopy, and the shale porosity was measured to be 4.80% and the density was 2.61g / cm 3 .

[0245] Through the analysis of organic microscopic components of whole-rock optical sections, it was found that the main organic microscopic components are vitrinite, silkenite and asphaltene, among which vitrinite and silkenite account for 38% in total, followed by asphaltene, which accounts for 62%.

[0246] Through argon ion polishing-scanning electron microscopy analysis, it was found that organic matter with fixed forms such as strips and blocks does not have pores inside, while organic matter without fixed forms generally has pores inside.

[0247] Through the analysis of organic microscopic components of whole-rock optical sections and argon ion polishing-scanning electron microscopy, it can be determined that there are no pores inside the organic matter of vitrinite and silkenite, but there are pores (organic pores) inside the organic matter of asphaltene.

[0248] Reference Figure 7 , argon ion polishing-scanning electron microscope photos that can clearly characterize organic pores were selected, and the grayscale thresholds of organic matter and organic pores were set respectively using image processing and recognition software.

[0249] Reference Figure 8 , identify the organic matter, obtain the circumference of the organic matter, and calculate the equivalent diameter and area.

[0250] Reference Fig. 9 and 10 , identify the number of organic pores and the perimeter of each organic pore, and calculate parameters such as the equivalent diameter and area of ​​each organic pore.

[0251] Calculate the total area A of all organic pores in organic matter j 3.545μm 2 , the area of ​​organic matter S i 14.112μm 2 , so we use E i =A j / S i *100%, it can be concluded that the surface ratio E of organic pores in organic matter is 25.12%.

[0252] Select the mixed kerogen density ρ 干 1.4g / cm 3 (It is generally believed in the industry that this parameter is between 1.3 and 1.5 g / cm 3 , there are existing calculation methods, such as Xu Mingyang's "New Method for Measuring Organic Matter Density", which can calculate the exact value, but it has little impact on subsequent results, so it is recommended to take the average value), using the formula P = TOC*(ρ / ρ 干 )*B*E*10 4 Calculation shows that the porosity P of the organic pores is 0.45%.

[0253] Using the formula Y=P / φ*100%, it can be calculated that the proportion of organic pores in the mixed organic shale is 9.38%.

[0254] It can realize the quantitative characterization of the organic pore content in shales rich in various organic microscopic components, and provide technical support for the scientific and accurate evaluation of the effective reservoir performance of shales and the optimization of oil and gas rich layers. It is especially valuable for the quantitative characterization of organic pores in continental shale reservoirs dominated by mixed organic shales with frequent changes in organic matter types, the effective evaluation of reservoir performance and the optimization of oil and gas rich layers in drilling.

[0255] In a second aspect, this embodiment provides a shale organic porosity calculation device, comprising:

[0256] A sample collection unit, which is used to collect shale samples from a target layer;

[0257] A sample detection unit, which is used to detect various parameters of shale samples;

[0258] An organic microscopic component analysis unit, which is used to determine the type and content of organic microscopic components of organic matter in shale samples;

[0259] An average surface ratio calculation unit, which is used to calculate the average surface ratio of organic matter in the shale sample of the target layer;

[0260] The organic porosity calculation unit is used to calculate the organic porosity of the shale sample in the target layer according to various parameters of the shale sample and the average surface ratio of organic matter.

[0261] In a third aspect, this embodiment provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the method of the first aspect is implemented.

[0262] In a fourth aspect, this embodiment provides an electronic device, comprising: a memory and a processor communicatively connected to the memory, wherein a computer program is stored in the memory, and when the processor executes the computer program, the method of the first aspect is implemented.

[0263] In a fifth aspect, this embodiment provides a shale organic porosity calculation system, including:

[0264] A shale sample drilling platform, which is used to drill shale samples in the target layer;

[0265] Such as the electronic device of the fourth aspect.

[0266] The various embodiments in the present disclosure are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0267] The protection scope of the present disclosure is not limited to the above-mentioned embodiments. Obviously, those skilled in the art can make various changes and modifications to the present disclosure without departing from the scope and spirit of the present disclosure. If these changes and modifications fall within the scope of the claims of the present disclosure and their equivalents, the intention of the present disclosure also includes these changes and modifications.

Claims

1. A method for calculating shale organic porosity, characterized in that: include: Collect shale samples from the target interval; Detecting various parameters of the shale sample; Determining the type and content of organic maceral components of organic matter in the shale sample; Calculate the average porosity of organic matter in the shale sample of the target layer according to the type and content of organic microscopic components of organic matter in the shale sample; The organic porosity of the shale sample in the target layer is calculated according to various parameters of the shale sample and the average porosity of the organic matter.

2. The method for calculating shale organic porosity according to claim 1, characterized in that: The various parameters of the shale sample are detected, including: The TOC, shale porosity and shale density in the shale sample are detected.

3. The method for calculating shale organic porosity according to claim 1, characterized in that: The determining of the type and content of organic maceral components of organic matter in the shale sample comprises: The types and contents of organic microscopic components of porous organic matter and non-porous organic matter in the shale sample are determined.

4. The method for calculating shale organic porosity according to claim 3, characterized in that: Determining the types and contents of organic macerals of porous organic matter and non-porous organic matter in the shale sample comprises: Classifying the organic matter in the shale sample into porous organic matter and non-porous organic matter; The types and contents of organic microscopic components of the porous organic matter and the non-porous organic matter are determined.

5. The method for calculating shale organic porosity according to claim 1, characterized in that: The calculation of the average porosity of all organic matter in the shale sample comprises: Obtain the amount and equivalent diameter of organic matter and organic pores; Calculate the surface area ratio of each organic matter based on the organic matter and the equivalent diameter of the organic pores; The average surface ratio of organic matter in the shale sample of the target layer is calculated according to the surface ratio of each organic matter.

6. The method for calculating shale organic porosity according to claim 5, characterized in that: The method of obtaining the quantity and equivalent diameter of organic matter and organic pores comprises: Scanning the shale sample with an electron microscope to obtain an electron microscope scanning photograph; Select electron microscope scanning photos that can clearly characterize the morphology of organic pore development; The organic matter and the number and equivalent diameter of organic pores are identified based on the electron microscope scanning photograph.

7. The method for calculating shale organic porosity according to claim 5, characterized in that: The calculating the surface ratio of each organic matter according to the organic matter and the equivalent diameter of the organic pores comprises: Calculating the area of ​​each organic matter according to the equivalent diameter of the organic matter; Calculating the total area of ​​the organic pores according to the equivalent diameter and number of the organic pores; The surface ratio of each organic matter is calculated based on the area of ​​the organic matter and the total area of ​​the organic pores.

8. The method for calculating shale organic porosity according to any one of claims 1 to 7, characterized in that: Also includes: The organic pore ratio of the shale sample is calculated and used to evaluate the contribution of organic pores to the total porosity.

9. A shale organic porosity calculation device, characterized in that: include: A sample collection unit, which is used to collect shale samples from a target layer; A sample detection unit, which is used to detect various parameters of the shale sample; An organic microscopic component analysis unit, which is used to determine the type and content of organic microscopic components of organic matter in the shale sample; An average surface ratio calculation unit, which is used to calculate the average surface ratio of organic matter in the shale sample of the target layer; The organic porosity calculation unit is used to calculate the organic porosity of the shale sample in the target layer according to various parameters of the shale sample and the average surface area ratio of the organic matter.

10. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

11. An electronic device, characterized in that: include: A memory and a processor communicatively connected to the memory, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

12. A shale organic porosity calculation system, characterized in that: include: A shale sample drilling platform, which is used to drill shale samples in the target layer; The electronic device as claimed in claim 11.