Inversion method and system for gas content in coal and rock in the whole well section based on full-diameter CT grayscale

Abstract

The present invention discloses a method and system for inverting the gas content of the entire well section of coal rock based on full-diameter CT grayscale, and relates to the technical field of coalbed methane exploration and development. The method comprises: performing a full-diameter CT scan on the core of the coal seam in the coring well to obtain a plurality of longitudinally continuous CT grayscale slices of the core; selecting core samples according to the grayscale value distribution, extracting the characteristics of the core samples, and conducting coal rock industrial analysis, and establishing a mathematical model between the core sample characteristics and the coal rock industrial analysis results; determining the threshold limit of organic matter and inorganic components in the segmented core samples; segmenting the organic matter and calculating the organic matter content; analyzing the relationship between the organic matter content and the field gas content test results, establishing a gas content inversion model, and predicting the gas content data of the entire well section of coal rock. The present invention utilizes the coal rock organic matter abundance and gas content inversion method to achieve continuous high-precision quantitative evaluation of the gas content data of the entire well section, and provide technical support for the exploration and development of clean energy such as shale gas and coal rock gas.

Description

Technical Field

[0001] The present invention relates to the technical field of coalbed methane exploration and development, and in particular to a method and system for inverting the gas content of a coal rock in a whole well section based on full-diameter CT grayscale. Background Art

[0002] Whether a sedimentary basin can generate oil and gas depends on the abundance of organic matter. It is the material basis for oil and gas generation and an important basis for measuring and evaluating the hydrocarbon generation potential of source rocks. Organic carbon content is an important indicator affecting the gas generation capacity of coal rocks. Under the premise of similar thermal evolution degree and coal rock components in the same region, the most important indicator for determining the gas content of coal seams is often organic carbon content.

[0003] At present, commonly used organic matter abundance indicators include organic carbon content (TOC), source rock pyrolysis, etc. It is generally believed that the higher the organic carbon content, the higher the organic matter abundance of the reservoir, and the stronger the hydrocarbon generation capacity. In order to obtain the organic carbon content of coal rock formations, it is often necessary to sample and prepare the cores, and to conduct experiments such as coal rock pyrolysis or industrial analysis. By means of heating and other means, the proportion of organic carbon in the coal rock is quantitatively calculated, thereby reflecting the quality of the coal rock. The experimental results only represent the organic matter abundance information of the coal rock at the sampling depth point.

[0004] The coal rock gas content test uses an analysis tank to carry out a coalbed methane analysis experiment at the coring site. Under a certain temperature, the natural gas in the analysis tank is gradually discharged, and the coal rock gas content is calculated using a professional gas volume measuring instrument. The coal rock gas content is the most direct and effective parameter for the gas content of coal seams, and has direct practical value for calculating the potential of coalbed methane resources in reservoirs.

[0005] Traditional tests of organic carbon and gas content usually involve conducting core tests at a certain sampling depth, and the results obtained can often only represent the coal rock characteristics of the sampling point. However, the coal reservoir has extremely strong vertical heterogeneity, and coal seams, interlayers, and coal seams are repeatedly superimposed. This directly leads to strong heterogeneity in the organic matter abundance and gas content of the coal seams in the vertical direction. The experimental results of a single sample point are difficult to represent the situation of the entire well section, which leads to the need to increase the sampling density and increase the experimental workload in actual operations. However, despite this, it is still impossible to characterize the changes in organic matter abundance and gas content in the entire well section.

[0006] Based on this, the present invention proposes a method and system for inverting the gas content of the entire well section of coal and rock based on full-diameter CT grayscale. Summary of the invention

[0007] The present invention provides a method for inverting the gas content of coal and rock in the entire well section based on full-diameter CT grayscale, comprising:

[0008] Perform full-diameter CT scanning on the core of the coal seam in the coring well to obtain multiple longitudinal continuous CT grayscale slice images of the core;

[0009] Select core samples according to the gray value distribution of each CT gray slice image, extract core sample characteristics, conduct coal and petrology industry analysis on the selected core samples, and establish a mathematical model between core sample characteristics and coal and petrology industry analysis results;

[0010] Based on the mathematical model between the core sample characteristics and the coal rock industry analysis results, the threshold limit for separating the organic and inorganic components in the core sample is determined;

[0011] Segment the organic matter according to the threshold limits and calculate the organic matter content;

[0012] Conduct on-site gas content testing, analyze the relationship between organic matter content and on-site gas content test results, and establish a gas content inversion model;

[0013] The gas content inversion model is used to predict the gas content data of the entire well section of coal and rock.

[0014] As described above, the method for inverting the gas content of the entire well section of coal rock based on full-diameter CT grayscale uses a full-diameter spiral CT scanner to scan the coal seam core of the coring well, and the CT scanner is set to have a lateral scanning resolution of 146 μm and a longitudinal resolution of 800 μm, and the storage format is a signed hexadecimal grayscale image.

[0015] As described above, the coal-rock full-well section gas content inversion method based on full-diameter CT grayscale, wherein the grayscale value of each CT grayscale slice image is calculated using a digital core slice analysis method.

[0016] As described above, the coal-rock full-well section gas content inversion method based on full-diameter CT grayscale, wherein the core sample characteristics include the well number, sampling point depth and grayscale value.

[0017] As described above, the coal rock gas content inversion method for the entire well section based on full-diameter CT grayscale, wherein the coal rock industrial analysis results include air-dried basis moisture, air-dried basis ash, air-dried basis volatile matter and air-dried basis fixed carbon.

[0018] The coal-rock full-well section gas content inversion method based on full-diameter CT grayscale as described above, wherein core samples are selected according to the grayscale value distribution of each CT grayscale slice image, core sample characteristics are extracted, and coal-rock industrial analysis is performed on the selected core samples, and a mathematical model between core sample characteristics and coal-rock industrial analysis results is established, specifically including the following sub-steps:

[0019] According to the gray value distribution change of gray data, typical parts with different gray values ​​are selected for sampling to extract the characteristics of core samples;

[0020] Conduct coal and rock industry analysis experiments, obtain coal and rock industry analysis results, and establish a relationship table between core sample characteristics and coal and rock industry analysis results;

[0021] According to the relationship table between core sample characteristics and coal rock industry analysis results, a correlation curve between grayscale values ​​in core sample characteristics and fixed carbon on a hollow dry basis in coal rock industry analysis results was established, and a mathematical model of grayscale values ​​changing with fixed carbon content was obtained.

[0022] As described above, the method for inverting the gas content of the entire well section of coal rock based on full-diameter CT grayscale, wherein the threshold limit for segmenting the organic matter and inorganic components in the core sample is determined, specifically: according to the mathematical model of the grayscale value changing with the fixed carbon content, the grayscale value corresponding to the fixed carbon content is calculated when the fixed carbon content is a preset value, and the grayscale value is used as the threshold limit for segmenting the organic matter and inorganic components.

[0023] As described above, the method for inverting the gas content of the entire well section of coal rock based on full-diameter CT grayscale, wherein the threshold segmentation method is used to segment the CT grayscale slice image into organic matter using the threshold limit, and the proportion of the organic matter area on each CT grayscale slice image to the slice image area is calculated respectively, and it is used as the organic matter content of the corresponding CT grayscale slice image.

[0024] The present invention also provides a coal-rock full-well section gas content inversion system based on full-diameter CT grayscale, comprising: a full-diameter CT scanner and a coal-rock full-well section gas content inversion device; the full-diameter CT scanner performs a full-diameter CT scan on the core of the coal seam in the coring well; the coal-rock full-well section gas content inversion device specifically comprises:

[0025] CT grayscale slice image acquisition module, used to obtain multiple longitudinal continuous CT grayscale slice images of the core;

[0026] The mathematical model creation module is used to select core samples according to the gray value distribution of each CT gray slice image, extract the core sample characteristics, conduct coal and petrological industry analysis on the selected core samples, and establish a mathematical model between the core sample characteristics and the coal and petrological industry analysis results;

[0027] The gas content prediction model for the entire well section of coal and rock is used to determine the threshold limit for segmenting organic matter and inorganic components in core samples based on the mathematical model between core sample characteristics and coal and rock industrial analysis results; segment the organic matter based on the threshold limit and calculate the organic matter content; conduct on-site gas content tests, analyze the relationship between the organic matter content and the on-site gas content test results, and establish a gas content inversion model; use the gas content inversion model to predict the gas content data of the entire well section of coal and rock.

[0028] The present invention also provides a computer storage medium, comprising: at least one memory and at least one processor;

[0029] The memory is used to store one or more program instructions;

[0030] A processor is used to run one or more program instructions to execute any of the above-mentioned methods for inverting the gas content of coal and rock in the entire well section based on full-diameter CT grayscale.

[0031] The beneficial effects achieved by the present invention are as follows: The present invention utilizes the coal rock organic matter abundance and gas content inversion method to achieve continuous high-precision quantitative evaluation of gas content data of the entire well section, providing technical support for the exploration and development of clean energy such as shale gas and coal rock gas. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0033] Figure 1 This is a flow chart of the method for inverting the gas content of the entire well section of coal and rock based on the full-diameter CT grayscale provided in Example 1 of the present application;

[0034] Figure 2 It is a scatter plot of gray value changing with depth;

[0035] Figure 3 It is the correlation curve between gray value and fixed carbon content;

[0036] Figure 4 It is a graph showing the relationship between organic matter content and field gas content test results;

[0037] Figure 5 It is a continuous millimeter-level precision gas content change curve distribution diagram for the entire well section. DETAILED DESCRIPTION

[0038] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0039] Embodiment 1

[0040] like Figure 1 As shown, the first embodiment of the present invention provides a method for inverting the gas content of coal and rock in the entire well section based on full-diameter CT grayscale, including:

[0041] Step 110: Perform a full-diameter CT scan on the coal seam core of the coring well to obtain longitudinal continuous CT grayscale slice images of the core.

[0042] For example, the core of the Upper Paleozoic Benxi Formation in Well A of a coalbed methane exploration block was analyzed. The core diameter was 6 cm, the depth range was 1884.28~1887.88 m, and the total scanning length was 3.6 m. The coalbed core was scanned with full-diameter CT to obtain a continuous vertical grayscale slice of the core. The preferred scanning device is a Philips multi-spectral full-diameter spiral CT scanner (Philips Ingenuity Core128), with a scanning lateral resolution of 146 μm and a vertical resolution of 800 μm, and the storage format is a signed hexadecimal grayscale image.

[0043] The digital core slice analysis method is used to calculate the grayscale value of each CT grayscale slice image of the 4-meter coal-rock section, and the grayscale value distribution is analyzed to obtain the following Figure 2 Shown is a scatter plot of grayscale values ​​varying with depth.

[0044] Step 120: Select core samples according to the gray value distribution of each CT gray slice image, extract core sample characteristics, conduct coal and petrology industry analysis on the selected core samples, and establish a mathematical model between the core sample characteristics and the coal and petrology industry analysis results.

[0045] Specifically, a mathematical model between core sample characteristics and coal rock industry analysis results is established, which specifically includes the following sub-steps:

[0046] Step 121, according to the gray value distribution change of each CT gray slice image, differentiatedly select typical parts with different gray values ​​for sampling, and extract core sample characteristics;

[0047] According to the distribution change of the gray value G of each CT grayscale slice image, the typical parts of high grayscale (G>1000), medium grayscale (500≤G≤1000) and low grayscale (G<500) were selected for sampling to ensure the representativeness and universality of the sampling points. The characteristics of the core samples obtained include well number, sampling point depth and grayscale value.

[0048] Step 122, conduct coal and rock industry analysis experiments, obtain coal and rock industry analysis results, and establish a relationship table between core sample characteristics and coal and rock industry analysis results;

[0049] The coal rock industry analysis experiment determines the physical and chemical properties of coal rock samples by testing them. The coal rock industry analysis results obtained through the coal rock industry analysis experiment include air-dried basis moisture, air-dried basis ash, air-dried basis volatile matter and air-dried basis fixed carbon. The relationship between the core sample characteristics and the coal rock industry analysis results is shown in Table 1 below:

[0050] Table 1 Relationship between core sample characteristics and coal rock industry analysis results

[0051]

[0052] Step 123: Based on the relationship table between the core sample characteristics and the coal rock industry analysis results, a correlation curve between the grayscale value in the core sample characteristics and the hollow dry basis fixed carbon in the coal rock industry analysis results is established to obtain a mathematical model for the change of grayscale value with fixed carbon content.

[0053] Specifically, according to the gray value and the corresponding air-dried basis fixed carbon data, a correlation curve between the two was established, and a mathematical model of the gray value changing with fixed carbon content was obtained: , where G is the gray value, is the fixed carbon content on an air-dry basis. The correlation curve between the specific gray value and the fixed carbon content is as follows: Figure 3 shown.

[0054] Return to see Figure 1 , step 130, determining the threshold limit for segmenting organic matter and inorganic components in the core sample according to the mathematical model between the core sample characteristics and the coal rock industry analysis results;

[0055] Mathematical model based on gray value changing with fixed carbon content , calculate the fixed carbon content When it is the preset value (60%), the corresponding grayscale value is 763 (rounded), and the grayscale value of 763 is used as the threshold limit for segmenting organic matter and inorganic components. That is, the material with a grayscale value less than 763 in the CT grayscale slice image is organic-enriched coal rock with strong gas-generating ability, otherwise it is an inorganic component in the coal rock with poor gas-generating ability.

[0056] Step 140, segmenting the organic matter according to the threshold limit and calculating the organic matter content;

[0057] Specifically, the threshold segmentation method is used to segment the CT grayscale slice image using the threshold limit, and the ratio of the organic matter area to the slice image area on each CT grayscale slice image is calculated respectively, and it is used as the organic matter content of the corresponding CT grayscale slice image. For example, the slice image is segmented with the gray value 763 as the threshold limit, and the organic matter content percentage of each slice image that changes with depth is obtained through segmentation calculation. The organic matter content percentage of each slice that changes with depth is shown in Table 2:

[0058] Table 2 Table of organic matter content percentage of each slice as it changes with depth

[0059]

[0060] Step 150, conducting an on-site gas content test, analyzing the relationship between the organic matter content and the on-site gas content test results, and establishing a gas content inversion model;

[0061] Specifically, based on the field gas content test at the same depth and the average coal rock organic matter content data, the correlation chart between the two was analyzed and a gas content inversion model was established: in, is the inverted gas content, unit: cm3 / g; For the organic matter content.

[0062] The relationship between organic matter content and on-site gas content test results is as follows: Figure 4 As shown, create the relationship table shown in Table 3 below:

[0063] Table 3 Relationship between organic matter content and field gas content test results

[0064]

[0065] Step 160, predicting the gas content data of the entire well section of coal and rock using the gas content inversion model;

[0066] Specifically, based on the established gas content inversion model, the organic matter content data of each slice is used to invert the gas content data of the entire well section. For example, if the organic matter content of the slice corresponding to a certain depth point is 60%, then the gas content inversion value of the depth point is: .

[0067] The continuous gas content inversion results of the entire coal seam section 1884.29m~1887.88m are shown in Table 4 below:

[0068] Table 4 Inversion results of gas content in the entire coal seam

[0069]

[0070] According to the inversion results of the whole well section, the following Figure 5 The distribution curve of gas content variation with continuous millimeter-level precision in the whole well section shown in the figure reflects the heterogeneity of gas content in the coal seam section more comprehensively and effectively. According to the gas content distribution diagram, it can be concluded that the well section 1884.3m~1886.5m is a high-quality gas-bearing layer section, which provides a basis for the subsequent fracturing or horizontal well target selection.

[0071] Embodiment 2

[0072] Embodiment 2 of the present invention provides a coal-rock full-well section gas content inversion system based on full-diameter CT grayscale, including: a full-diameter CT scanner and a coal-rock full-well section gas content inversion device; the full-diameter CT scanner performs a full-diameter CT scan on the core of the coal seam in the coring well; the coal-rock full-well section gas content inversion device specifically includes:

[0073] The CT grayscale slice image acquisition module is used to obtain multiple continuous CT grayscale slice images of the core longitudinally.

[0074] The mathematical model creation module is used to calculate the grayscale value of each CT grayscale slice image using the digital core slice analysis method, select core samples according to the grayscale value distribution of each CT grayscale slice image, extract the core sample characteristics, and conduct coal and rock industry analysis on the selected core samples, and establish a mathematical model between the core sample characteristics and the coal and rock industry analysis results;

[0075] The core sample characteristics include well number, sampling point depth and gray value. The coal rock industry analysis results include air-dried basis moisture, air-dried basis ash, air-dried basis volatile matter and air-dried basis fixed carbon.

[0076] The mathematical model creation module is specifically used for: according to the gray value distribution change of gray data, differentially selecting typical parts with different gray values ​​for sampling, and extracting core sample characteristics; conducting coal and rock industry analysis experiments, obtaining coal and rock industry analysis results, and establishing a relationship table between core sample characteristics and coal and rock industry analysis results; according to the relationship table between core sample characteristics and coal and rock industry analysis results, establishing a correlation curve between gray value in core sample characteristics and hollow dry basis fixed carbon in coal and rock industry analysis results, and obtaining a mathematical model for gray value changes with fixed carbon content; according to the mathematical model for gray value changes with fixed carbon content, calculating the gray value corresponding to the fixed carbon content being a preset value, and using the gray value as a threshold limit for segmenting organic matter and inorganic components; using the threshold segmentation method to segment the CT gray slice image using the threshold limit, and calculating the proportion of the organic matter area to the slice area on each CT gray slice image, and using it as the organic matter content of the corresponding CT gray slice image.

[0077] The gas content prediction model for the entire well section of coal and rock is used to determine the threshold limit for segmenting organic matter and inorganic components in core samples based on the mathematical model between core sample characteristics and coal and rock industrial analysis results; segment the organic matter based on the threshold limit and calculate the organic matter content; conduct on-site gas content tests, analyze the relationship between the organic matter content and the on-site gas content test results, and establish a gas content inversion model; use the gas content inversion model to predict the gas content data of the entire well section of coal and rock.

[0078] Corresponding to the above embodiment, an embodiment of the present invention provides a computer storage medium, including: at least one memory and at least one processor;

[0079] The memory is used to store one or more program instructions;

[0080] The processor is used to run one or more program instructions to execute a method for inverting the gas content of the entire well section of coal and rock based on the full-diameter CT grayscale.

[0081] Corresponding to the above-mentioned embodiments, an embodiment of the present invention provides a computer-readable storage medium, which contains one or more program instructions, and the one or more program instructions are used by the processor to execute a method for inverting the gas content of the entire well section of coal and rock based on full-diameter CT grayscale.

[0082] The embodiments disclosed in the present invention provide a computer-readable storage medium, in which computer program instructions are stored. When the computer program instructions are executed on a computer, the computer executes the above-mentioned method for inverting the gas content of the entire well section of coal and rock based on full-diameter CT grayscale.

[0083] In the embodiment of the present invention, the processor may be an integrated circuit chip having the ability to process signals. The processor may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0084] The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present invention can be directly embodied as a hardware decoding processor for execution, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The processor reads the information in the storage medium and completes the steps of the above method in combination with its hardware.

[0085] The storage medium may be a memory, which may be, for example, a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memory.

[0086] Among them, the non-volatile memory can be a read-only memory (ROM), a programmable ROM (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory.

[0087] The volatile memory may be a random access memory (RAM) which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDRSDRAM), enhanced synchronous DRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM bus DRAM (DRRAM).

[0088] The storage media described in the embodiments of the present invention are intended to include, but are not limited to, these and any other suitable types of memory.

[0089] Those skilled in the art will appreciate that in one or more of the above examples, the functions described in the present invention can be implemented using a combination of hardware and software. When software is used, the corresponding functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any media that facilitates the transmission of computer programs from one place to another. Storage media can be any available media that can be accessed by general or special-purpose computers.

[0090] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solution of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for inverting the gas content of coal and rock in the entire well section based on full-diameter CT grayscale, characterized in that: include: Perform full-diameter CT scanning on the core of the coal seam in the coring well to obtain multiple longitudinal continuous CT grayscale slice images of the core; Core samples were selected according to the gray value distribution of each CT gray slice image, the core sample characteristics were extracted, and coal rock industry analysis was carried out on the selected core samples to establish a mathematical model between the core sample characteristics and the coal rock industry analysis results; according to the gray value and the corresponding air-dried basis fixed carbon data, a correlation curve between the two was established, and a mathematical model of the gray value changing with fixed carbon content was obtained: , where G is the gray value, Fixed carbon content is air-dried basis; Based on the mathematical model between the core sample characteristics and the coal rock industry analysis results, the threshold limit for separating the organic and inorganic components in the core sample is determined; Segment the organic matter according to the threshold limits and calculate the organic matter content; Conduct on-site gas content tests, analyze the relationship between organic matter content and on-site gas content test results, and establish a gas content inversion model; analyze the correlation chart of the on-site gas content test and the average coal rock organic matter content data at the same depth, and establish a gas content inversion model: ,in, is the inverted gas content, unit: cm3 / g; is the organic matter content; The gas content inversion model is used to predict the gas content data of the entire well section of coal and rock.

2. The method for inverting the gas content of coal and rock in the whole well section based on full-diameter CT grayscale according to claim 1 is characterized in that: The grayscale value of each CT grayscale slice image is calculated using the digital core slice analysis method.

3. The method for inverting the gas content of coal and rock in the whole well section based on full-diameter CT grayscale according to claim 2 is characterized in that: The core sample characteristics include well number, sampling point depth and grayscale value.

4. The method for inverting the gas content of coal and rock in the whole well section based on full-diameter CT grayscale according to claim 3 is characterized in that: The coal rock industry analysis results include air-dried basis moisture, air-dried basis ash, air-dried basis volatile matter and air-dried basis fixed carbon.

5. The method for inverting the gas content of coal and rock in the whole well section based on full-diameter CT grayscale according to claim 4 is characterized in that: According to the gray value distribution of each CT gray slice image, core samples are selected, core sample characteristics are extracted, and coal and petrology industry analysis is carried out on the selected core samples to establish a mathematical model between core sample characteristics and coal and petrology industry analysis results, which specifically includes the following sub-steps: According to the gray value distribution change of gray data, typical parts with different gray values ​​are selected for sampling to extract the characteristics of core samples; Conduct coal and rock industry analysis experiments, obtain coal and rock industry analysis results, and establish a relationship table between core sample characteristics and coal and rock industry analysis results; According to the relationship table between core sample characteristics and coal rock industry analysis results, a correlation curve between grayscale values ​​in core sample characteristics and fixed carbon on a hollow dry basis in coal rock industry analysis results was established, and a mathematical model of grayscale values ​​changing with fixed carbon content was obtained.

6. The method for inverting the gas content of coal and rock in the whole well section based on full-diameter CT grayscale according to claim 5, characterized in that: Determine the threshold limit for segmenting organic matter and inorganic components in the core sample, specifically: calculate the grayscale value corresponding to the fixed carbon content at a preset value based on the mathematical model of how the grayscale value changes with the fixed carbon content, and use the grayscale value as the threshold limit for segmenting organic matter and inorganic components.

7. The method for inverting the gas content of coal and rock in the whole well section based on full-diameter CT grayscale according to claim 6, characterized in that: The threshold segmentation method is used to segment the CT grayscale slice images into organic matter using the threshold limit, and the ratio of the organic matter area to the slice area on each CT grayscale slice image is calculated respectively, which is used as the organic matter content of the corresponding CT grayscale slice image.

8. The coal-rock full-well section gas content inversion system based on full-diameter CT grayscale is characterized by: include: Full-diameter CT scanner and gas content inversion device for coal and rock in the whole well section; The full-diameter CT scanner performs full-diameter CT scanning on the core of the coal seam in the coring well; The gas content inversion device for the whole well section of coal and rock specifically includes: CT grayscale slice image acquisition module, used to obtain multiple longitudinal continuous CT grayscale slice images of the core; The mathematical model creation module is used to select core samples according to the gray value distribution of each CT gray slice image, extract the core sample characteristics, and conduct coal and rock industry analysis on the selected core samples to establish a mathematical model between the core sample characteristics and the coal and rock industry analysis results; according to the gray value and the corresponding air-dried basis fixed carbon data, a correlation curve between the two is established to obtain a mathematical model of the gray value changing with the fixed carbon content: , where G is the gray value, Fixed carbon content is air-dried basis; The gas content prediction model for the whole well section of coal rock is used to determine the threshold limit for segmenting organic and inorganic components in core samples based on the mathematical model between core sample characteristics and coal rock industrial analysis results; segment organic matter based on the threshold limit and calculate the organic matter content; conduct on-site gas content tests, analyze the relationship between organic matter content and on-site gas content test results, and establish a gas content inversion model; analyze the correlation chart of the on-site gas content test and the average coal rock organic matter content data at the same depth, and establish a gas content inversion model: ,in, is the inverted gas content, unit: cm3 / g; is the organic matter content; The gas content inversion model is used to predict the gas content data of the entire well section of coal and rock.

9. A computer storage medium, characterized in that include: at least one memory and at least one processor; The memory is used to store one or more program instructions; A processor is used to run one or more program instructions to execute the method for inverting the gas content of the entire well section of coal and rock based on full-diameter CT grayscale as described in any one of claims 1-7.

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