Method and device for evaluating target gas well, electronic equipment and storage medium

Abstract

Embodiments of the present application provide a kind of target gas well evaluation method, device, electronic equipment and storage medium.The present application relates to natural gas exploration and development technical field.The method comprises: determining the multiple first information corresponding to the coal rock mass of target gas well, and the first information is used to indicate the reservoir physical characteristics of coal rock mass;Second information corresponding to target gas well is obtained, and the second information includes multiple geological information and recoverable resource quantity of target gas well;Determine the first parameter corresponding to each first information, and the first parameter is used to indicate the quality of reservoir physical characteristics of coal rock mass;Determine multiple second parameters corresponding to second information, and multiple second parameters are used to indicate the development potential of geological information and recoverable resource quantity of target gas well;Based on multiple first parameters and multiple second parameters, determine the mining feasibility of target gas well.The mining feasibility of target gas well can be accurately determined.

Description

Technical Field

[0001] This application relates to the field of natural gas exploration and development technology, and in particular to a method, apparatus, electronic equipment and storage medium for evaluating target gas wells. Background Technology

[0002] With the continuous growth of energy demand and the pursuit of clean energy, the exploration and development of deep coalbed methane is receiving increasing attention. Before developing a gas well containing deep coalbed methane, it is necessary to evaluate whether the well is exploitable.

[0003] Currently, traditional resource assessment methods for shallow coalbed methane (such as the volumetric method and the analogy method) can be used to evaluate whether gas wells containing deep coalbed methane are exploitable. However, these methods are insufficient to accurately characterize the reservoir characteristics of deep coalbed methane, leading to ambiguous resource classification, significant deviations in economic recoverability assessments, and consequently, inaccurate evaluations of the exploitability of gas wells. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and storage medium for evaluating target gas wells, to accurately evaluate whether a gas well containing deep coalbed methane is exploitable.

[0005] In a first aspect, embodiments of this application provide a method for evaluating a target gas well, comprising:

[0006] Determine multiple pieces of first information corresponding to the coal and rock mass of the target gas well. The first information is used to indicate the reservoir physical characteristics of the coal and rock mass.

[0007] Obtain the second information corresponding to the target gas well, which includes multiple geological information and recoverable resources of the target gas well;

[0008] Determine the first parameter corresponding to each piece of first information. The first parameter is used to indicate the quality of the reservoir physical characteristics of the coal and rock mass.

[0009] Determine multiple second parameters corresponding to the second information. These multiple second parameters are used to indicate the geological information and development potential of the target gas well's recoverable resources.

[0010] The exploitation feasibility of the target gas well is determined based on multiple first parameters and multiple second parameters.

[0011] In one possible implementation, multiple pieces of first information corresponding to the coal and rock mass are determined, including:

[0012] Acquire first data, which is used to indicate the physical response characteristics of the coal and rock mass and the reservoir occurrence state;

[0013] The first set of data was analyzed to determine the storage capacity of the coal and rock mass for natural gas.

[0014] The first information is determined based on the natural gas storage capacity of the coal and rock mass.

[0015] In one possible implementation, the first information is determined based on the natural gas storage capacity of the coal and rock mass, including:

[0016] Acquire second data, which is used to indicate the spatial distribution characteristics of the target gas well;

[0017] Based on the second data, the thickness of the coal seam in the coal-rock mass is determined;

[0018] The first piece of information is determined based on the natural gas storage capacity of the coal seam and the coal seam thickness.

[0019] In one possible implementation, the first information is determined based on the natural gas storage capacity of the coal seam and the coal seam thickness, including:

[0020] Obtain the first depth and first pressure of the coal and rock mass in the target gas well;

[0021] Based on the first depth, a second pressure is determined for the coal and rock mass. The second pressure is used to indicate the pressure exerted on the coal and rock mass by the weight of the groundwater column at the first depth.

[0022] The ratio of the first pressure to the second pressure is determined as the pressure coefficient of the coal and rock mass, which is used to indicate the in-situ preservation capacity of the coal and rock mass for natural gas.

[0023] The first information is determined based on the coal seam's ability to store natural gas, the coal seam thickness, and the pressure coefficient.

[0024] In one possible implementation, obtaining the second information corresponding to the target gas well includes:

[0025] Obtain the first sub-data and the second sub-data from the second data. The first sub-data is used to indicate the distribution characteristics of the faults in the target gas well, and the second sub-data is used to indicate the distribution characteristics of the natural gas in the target gas well.

[0026] Based on the first and second sub-data, a first index for the target gas well is determined. The first index is used to indicate the geological structure and coal seam development stability of the target gas well.

[0027] The second piece of information is determined based on the first index.

[0028] In one possible implementation, the exploitation feasibility of a target gas well is determined based on a plurality of first parameters and a plurality of second parameters, including:

[0029] Obtain the first weight corresponding to each first piece of information and the second weight corresponding to each second piece of information. The first weight is used to indicate the importance of each first piece of information to the evaluation of the exploitation feasibility of the target gas well, and the second weight is used to indicate the importance of each second piece of information to the evaluation of the exploitation feasibility of the target gas well.

[0030] Based on each piece of first information, the first weight corresponding to each piece of first information, each piece of second information, and the second weight corresponding to each piece of second information, the exploitation feasibility of the target gas well is determined.

[0031] Secondly, embodiments of this application provide an evaluation device for a target gas well, comprising: a first determining module, an acquisition module, a second determining module, a third determining module, and a fourth determining module, wherein,

[0032] The first determining module is used to determine multiple first pieces of information corresponding to the coal and rock mass of the target gas well. The first pieces of information are used to indicate the reservoir physical characteristics of the coal and rock mass.

[0033] The acquisition module is used to acquire the second information corresponding to the target gas well. The second information includes multiple geological information and recoverable resources of the target gas well.

[0034] The second determining module is used to determine the first parameter corresponding to each first piece of information. The first parameter is used to indicate the quality of the reservoir physical characteristics of the coal and rock mass.

[0035] The third determining module is used to determine multiple second parameters corresponding to the second information. These multiple second parameters are used to indicate the geological information and development potential of the target gas well's recoverable resources.

[0036] The fourth determination module is used to determine the exploitation feasibility of the target gas well based on multiple first parameters and multiple second parameters.

[0037] In one possible implementation, the first determining module is specifically used for:

[0038] Acquire first data, which is used to indicate the physical response characteristics of the coal and rock mass and the reservoir occurrence state;

[0039] The first set of data was analyzed to determine the storage capacity of the coal and rock mass for natural gas.

[0040] The first information is determined based on the natural gas storage capacity of the coal and rock mass.

[0041] In one possible implementation, the first determining module is specifically used for:

[0042] Acquire second data, which is used to indicate the spatial distribution characteristics of the target gas well;

[0043] Based on the second data, the thickness of the coal seam in the coal-rock mass is determined;

[0044] The first piece of information is determined based on the natural gas storage capacity of the coal seam and the coal seam thickness.

[0045] In one possible implementation, the first determining module is specifically used for:

[0046] Obtain the first depth and first pressure of the coal and rock mass in the target gas well;

[0047] Based on the first depth, a second pressure is determined for the coal and rock mass. The second pressure is used to indicate the pressure exerted on the coal and rock mass by the weight of the groundwater column at the first depth.

[0048] The ratio of the first pressure to the second pressure is determined as the pressure coefficient of the coal and rock mass, which is used to indicate the in-situ preservation capacity of the coal and rock mass for natural gas.

[0049] The first information is determined based on the coal seam's ability to store natural gas, the coal seam thickness, and the pressure coefficient.

[0050] In one possible implementation, the acquisition module is specifically used for:

[0051] Obtain the first sub-data and the second sub-data from the second data. The first sub-data is used to indicate the distribution characteristics of the faults in the target gas well, and the second sub-data is used to indicate the distribution characteristics of the natural gas in the target gas well.

[0052] Based on the first and second sub-data, a first index for the target gas well is determined. The first index is used to indicate the geological structure and coal seam development stability of the target gas well.

[0053] The second piece of information is determined based on the first index.

[0054] In one possible implementation, the fourth determining module is specifically used for:

[0055] Obtain the first weight corresponding to each first piece of information and the second weight corresponding to each second piece of information. The first weight is used to indicate the importance of each first piece of information to the evaluation of the exploitation feasibility of the target gas well, and the second weight is used to indicate the importance of each second piece of information to the evaluation of the exploitation feasibility of the target gas well.

[0056] Based on each piece of first information, the first weight corresponding to each piece of first information, each piece of second information, and the second weight corresponding to each piece of second information, the exploitation feasibility of the target gas well is determined.

[0057] Thirdly, embodiments of this application provide an electronic device, including: at least one processor and a memory; the memory stores computer-executable instructions; the at least one processor executes the computer-executable instructions stored in the memory, causing the at least one processor to perform the evaluation method for target gas wells as described in the first aspect above and various possible designs of the first aspect.

[0058] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions. When a processor executes the computer-executable instructions, it implements the evaluation method for the target gas well as described in the first aspect and various possible designs of the first aspect.

[0059] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the evaluation method for the target gas well as described in the first aspect and various possible designs of the first aspect.

[0060] In a sixth aspect, embodiments of this application provide a chip including at least one processor, the processor being configured to execute program instructions to implement the evaluation method for the target gas well as described in the first aspect above and various possible designs of the first aspect.

[0061] This application provides a method, apparatus, electronic device, and storage medium for evaluating target gas wells. By determining the reservoir physical characteristics of the coal-rock body corresponding to the target gas well, it obtains multi-dimensional information on the geological information and recoverable resources of the gas well where the coal-rock body is located. It quantifies the quality of reservoir physical characteristics, geological information, and the development potential of recoverable resources, and then comprehensively evaluates the exploitation feasibility of the target gas well based on the quantification results. This method can accurately characterize the reservoir characteristics of deep coal-rock gas, clearly classify resource categories, and thus accurately determine the exploitation feasibility of the target gas well. It solves the problem of inaccurate results when traditional shallow coal-rock gas evaluation methods are applied to the evaluation of deep coal-rock gas wells. Attached Figure Description

[0062] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0063] Figure 1 A flowchart illustrating a method for evaluating a target gas well, provided in an embodiment of this application;

[0064] Figure 2 A flowchart illustrating a method for determining first information provided in an embodiment of this application;

[0065] Figure 3 A flowchart illustrating a method for determining second information provided in an embodiment of this application;

[0066] Figure 4 A schematic diagram of the structure of an evaluation device for a target gas well provided in an embodiment of this application;

[0067] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0068] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0069] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0070] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, storage, use, processing, transmission, provision, disclosure, and application of the relevant data all comply with the relevant laws, regulations, and standards of the relevant regions, have taken necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation portals for users to choose to authorize or refuse.

[0071] Furthermore, the technical solution involved in this application, which involves big data analysis of user information (including but not limited to personal biometrics, identity data, consumption data, asset data, electronic terminal operation data, etc.) and the use of artificial intelligence technology for automated decision-making, and makes decisions that have a significant impact on personal rights based on the results of automated decision-making, provides users with corresponding operation entry points for users to choose to agree to or reject the results of automated decision-making; if the user chooses to reject, the process will proceed to the expert decision-making process.

[0072] It should be noted that the target gas well evaluation method, device, electronic equipment and storage medium provided in this application can be used in the field of natural gas exploration and development technology, and can also be used in any field other than the field of natural gas exploration and development technology. The application field of the target gas well evaluation method, device, electronic equipment and storage medium in this application is not limited.

[0073] It should be noted that in the embodiments of this application, certain software, components, models and other existing solutions in the industry may be mentioned. These should be regarded as exemplary and are only intended to illustrate the feasibility of implementing the technical solution of this application. However, it does not mean that the applicant has used or necessarily used the solution.

[0074] With the continuous growth of energy demand and the pursuit of clean energy, the exploration and development of deep coalbed methane has received increasing attention. Before developing a gas well containing deep coalbed methane, it is necessary to evaluate its exploitability. Currently, traditional resource evaluation methods for shallow coalbed methane (such as the volumetric method and analogy method) can be used to evaluate the exploitability of gas wells containing deep coalbed methane. However, these methods are insufficient to accurately characterize the reservoir characteristics of deep coalbed methane, leading to ambiguous resource classification, large deviations in economic recoverability evaluation, and consequently, inaccurate assessments of the exploitability of gas wells.

[0075] For example, the differences between deep coalbed methane and shallow coalbed methane are shown in Table 1.

[0076] Table 1

[0077]

[0078] Continued from Table 1

[0079]

[0080] To address the aforementioned issues, this application provides a method for evaluating target gas wells. The method involves: determining multiple pieces of first information corresponding to the coal-rock mass of the target gas well, where the first information indicates the reservoir physical characteristics of the coal-rock mass; acquiring second information corresponding to the target gas well, including multiple geological information and recoverable resources; determining first parameters corresponding to each piece of first information, where the first parameters indicate the quality of the reservoir physical characteristics of the coal-rock mass; determining multiple second parameters corresponding to the second information, where the multiple second parameters indicate the development potential of the geological information and recoverable resources of the target gas well; and determining the exploitation feasibility of the target gas well based on the multiple first parameters and the multiple second parameters.

[0081] In the above method, by determining the reservoir physical characteristics of the coal-rock body corresponding to the target gas well, the geological information and recoverable resources of the gas well where the coal-rock body is located are obtained in multiple dimensions. The quality of reservoir physical characteristics, geological information and the development potential of recoverable resources are quantified respectively. Then, the exploitation feasibility of the target gas well is comprehensively evaluated based on the quantification results. This method can accurately characterize the reservoir characteristics of deep coal-rock gas, clearly classify resource categories, and thus accurately determine the exploitation feasibility of the target gas well. This solves the problem of inaccurate results when traditional shallow coal-rock gas evaluation methods are applied to the evaluation of deep coal-rock gas wells.

[0082] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0083] Figure 1 This is a schematic flowchart illustrating a method for evaluating a target gas well, provided as an embodiment of this application. Please refer to... Figure 1 As shown, the method may include the following steps:

[0084] S101. Determine multiple first pieces of information corresponding to the coal and rock mass of the target gas well. The first pieces of information are used to indicate the reservoir physical characteristics of the coal and rock mass.

[0085] The execution subject of this application embodiment can be an electronic device or a target gas well evaluation device installed in an electronic device. The target gas well evaluation device can be implemented by software or by a combination of software and hardware.

[0086] In one possible implementation, the target gas well refers to a well that is intended for exploration and development and has encountered a deep coal and rock gas reservoir; it is the engineering carrier for deep coal and rock gas extraction.

[0087] In one possible implementation, coal-rock mass refers to the coal seam and surrounding associated rock strata encountered by the target gas well that contain natural gas. It is the reservoir carrier of deep coal-rock gas, and its reservoir physical characteristics can indicate the storage and preservation capacity of natural gas.

[0088] In one possible implementation, coal-rock masses with large burial depths, coal seam thickness indicating sufficient natural gas storage space, conducive to the formation of exploitable gas reservoirs, high gas content, and high exploration level (indicating the existence of sufficient geological and development data for the evaluation of target gas wells, clear geological patterns, and low evaluation uncertainty) can be extracted.

[0089] For example, it is possible to extract coal seams with a burial depth greater than 1500 meters and less than or equal to 5000 meters, a coal seam thickness greater than 2 meters, and a gas content greater than 20 cubic meters per ton (m). 3 / t), coal and rock masses with reserves accounting for more than or equal to 30%.

[0090] In one possible implementation, reservoir physical characteristics refer to the inherent physical properties of the coal and rock mass that are related to the storage and preservation of natural gas. They are the core basis for evaluating the quality of the coal and rock mass. Reservoir physical characteristics may include, but are not limited to: gas content, free gas ratio, coal seam structure, roof and floor lithology, coal seam thickness, pressure coefficient, coal body structure, and hydrodynamic information.

[0091] Among them, gas content indicates the coal and rock mass's ability to store natural gas; free gas percentage indicates the amount of methane gas in the coal and rock mass that is not adsorbed on its surface, and the unit is m³. 3 / t; Coal seam structure can refer to the interbedded rock and coal formations, indicating the stability of the coal seam; roof and floor lithology can indicate the coal seam gas preservation capacity; pressure coefficient can indicate the coal seam's in-situ natural gas preservation capacity; coal body structure can indicate the degree of damage to the coal seam; hydrodynamic information can indicate the degree of hydrodynamic activity of the coal seam.

[0092] In one possible implementation, the first information refers to the inherent properties of the coal and rock mass (reservoir physical characteristics), which are only related to the geological information of the coal and rock mass itself.

[0093] S102. Obtain the second information corresponding to the target gas well. The second information includes multiple geological information and recoverable resources of the target gas well.

[0094] In one possible implementation, the second information is used to indicate the overall development value of the target gas well. It is a comprehensive attribute of the target gas well dimension, including resource abundance, geological structure, and recoverable resources of the target gas well.

[0095] Among them, resource abundance can refer to the resource quantity of the target gas well, geological structure can indicate the stability of the coal seam development of the target gas well, and recoverable resource quantity of the target gas well can indicate the economic recoverability of the target gas well.

[0096] In one possible implementation, geological information refers to the macroscopic geological information of the area where the target gas well is located. Geological information can affect the enrichment and development difficulty of natural gas, and includes resource abundance and geological structure.

[0097] In one possible implementation, recoverable resources refer to the total amount of natural gas that a target gas well can extract under current technical and economic conditions. The core quantitative indicator of recoverable resources is the estimated ultimate recovery (EUR) of a single well.

[0098] S103. Determine the first parameter corresponding to each first piece of information. The first parameter is used to indicate the quality of the reservoir physical characteristics of the coal and rock mass.

[0099] In one possible implementation, the first parameter refers to the quantitative score value corresponding to each piece of first information. The range of the first parameter can be [0 points, 10 points]. The larger the first parameter, the better the corresponding reservoir physical characteristics.

[0100] In one possible implementation, if the first parameter includes the coal seam thickness, when the coal seam thickness is greater than or equal to a first coal seam thickness threshold, the first parameter corresponding to the first information can be within a first sub-parameter range; when the coal seam thickness is greater than or equal to a second coal seam thickness threshold, the first parameter corresponding to the first information can be within a second sub-parameter range; and when the coal seam thickness is less than the second coal seam thickness threshold, the first parameter corresponding to the first information can be within a third sub-parameter range. For example, the first coal seam thickness threshold is 5 meters, and the second coal seam thickness threshold is 3 meters.

[0101] In one possible implementation, if the first parameter includes gas content and free gas percentage, when the gas content is greater than or equal to a first gas content threshold and the free gas percentage is greater than or equal to a first free gas percentage, the first parameter corresponding to the first information can be within a first sub-parameter range; when the gas content is greater than or equal to a second gas content threshold, the free gas percentage is greater than a second free gas percentage, and the free gas percentage is less than a first free gas percentage, the first parameter corresponding to the first information can be within a second sub-parameter range; when the gas content is less than or equal to a second gas content threshold and the free gas percentage is less than or equal to a second free gas percentage, the first parameter corresponding to the first information can be within a third sub-parameter range. For example, the first gas content threshold is 20m³. 3 / t, the second gas content threshold is 12m 3 / t, the first free gas accounts for 30%, and the second free gas accounts for 12%.

[0102] In one possible implementation, if the first parameter includes the coal seam structure, when the coal seam structure is a single-type (no interbedded rock or only a single thin interbedded rock layer, and the coal seam is continuous and intact), the first parameter corresponding to the first information can be in the first sub-parameter interval; when the coal seam structure is a two-type (one obvious interbedded rock layer, the coal seam is slightly divided but the overall continuity is good), the first parameter corresponding to the first information can be in the second sub-parameter interval; when the coal seam structure is a three-type or more (two or more interbedded rock layers, the coal seam is severely divided and the continuity is poor), the first parameter corresponding to the first information can be in the third sub-parameter interval.

[0103] In one possible implementation, if the first parameter includes the coal body structure, when the coal body structure is primary, the first parameter corresponding to the first information can be in the first sub-parameter range; when the coal body structure is fragmented or granular, the first parameter corresponding to the first information can be in the second sub-parameter range; and when the coal body structure is mylonite, the first parameter corresponding to the first information can be in the third sub-parameter range.

[0104] In one possible implementation, if the first parameter includes a pressure coefficient, when the pressure coefficient is greater than or equal to a first pressure coefficient threshold, the first parameter corresponding to the first information can be in a first sub-parameter range; when the pressure coefficient is greater than or equal to a second pressure coefficient threshold, the first parameter corresponding to the first information can be in a second sub-parameter range; and when the pressure coefficient is less than the second pressure coefficient threshold, the first parameter corresponding to the first information can be in a third sub-parameter range. For example, the first pressure coefficient threshold is 0.9, and the second pressure coefficient threshold is 0.7.

[0105] In one possible implementation, if the first parameter includes the lithology of the top and bottom plates, when the lithology of the top and bottom plates is limestone-mudstone or mudstone-mudstone, the first parameter corresponding to the first information can be in the first sub-parameter range; when the lithology of the top and bottom plates is mudstone-sandstone, the first parameter corresponding to the first information can be in the second sub-parameter range; when the lithology of the top and bottom plates is sandstone-mudstone or sandstone-sandstone, the first parameter corresponding to the first information can be in the third sub-parameter range.

[0106] In one possible implementation, if the first parameter includes hydrodynamic information, when the hydrodynamic information indicates that the coal and rock mass is a pressure zone, the first parameter corresponding to the first information can be in the first sub-parameter interval; when the hydrodynamic information indicates that the coal and rock mass is a weak runoff zone, the first parameter corresponding to the first information can be in the second sub-parameter interval; when the hydrodynamic information indicates that the coal and rock mass is a runoff zone, the first parameter corresponding to the first information can be in the third sub-parameter interval.

[0107] In one possible implementation, the first sub-parameter interval can indicate the quality of the reservoir physical characteristics of the coal-rock mass as excellent, the second sub-parameter interval can indicate the quality of the reservoir physical characteristics of the coal-rock mass as moderate, and the third sub-parameter interval can indicate the quality of the reservoir physical characteristics of the coal-rock mass as poor.

[0108] S104. Determine multiple second parameters corresponding to the second information. These multiple second parameters are used to indicate the geological information and development potential of the recoverable resources of the target gas well.

[0109] In one possible implementation, the second parameter refers to the quantitative score value corresponding to each second piece of information. The range of the second parameter can be [0 points, 10 points]. The larger the second parameter, the better the geological information of the target gas well and the greater the development potential of the recoverable resources.

[0110] In one possible implementation, if the second parameter includes resource abundance, when the resource abundance is greater than or equal to a first resource abundance threshold, the second parameter corresponding to the second information can be within a first sub-parameter range; when the resource abundance is less than or equal to a second resource abundance threshold, the second parameter corresponding to the second information can be within a third sub-parameter range; and when the resource abundance is greater than the second resource abundance threshold and less than the first resource abundance threshold, the second parameter corresponding to the second information can be within a second sub-parameter range. For example, the first resource abundance threshold is... cubic meters per square kilometer (m 3 / km 2 The second resource abundance threshold is cubic meters per square kilometer.

[0111] In one possible implementation, if the second parameter includes geological structure, when the geological structure indicator faults are distributed sporadically and the natural gas is distributed continuously and uniformly over a large area, the second parameter corresponding to the second information can be in the first sub-parameter range; when the geological structure indicator faults are sparsely distributed in a scattered manner and the natural gas is continuously distributed with slight enrichment differences due to minor local influence from small-scale faults, the second parameter corresponding to the second information can be in the second sub-parameter range; when the geological structure indicator faults are densely distributed in a strip-like or networked manner and the natural gas is strongly cut by faults and distributed in a patchy or isolated manner, the second parameter corresponding to the second information can be in the third sub-parameter range.

[0112] In one possible implementation, if the second parameter includes recoverable resource quantity, when the recoverable resource quantity is greater than or equal to a first recoverable resource quantity threshold, the second parameter corresponding to the second information can be within a first sub-parameter range; when the resource abundance is less than or equal to a second recoverable resource quantity threshold, the second parameter corresponding to the second information can be within a third sub-parameter range; and when the resource abundance is greater than the second recoverable resource quantity threshold and less than the first recoverable resource quantity threshold, the second parameter corresponding to the second information can be within a second sub-parameter range. For example, the first recoverable resource quantity threshold is... cubic meters, the second recoverable resource threshold is cubic meter.

[0113] In one possible implementation, the first sub-parameter interval can also indicate that the geological information of the target gas well is good, the second sub-parameter interval can also indicate that the geological information of the target gas well is medium, and the third sub-parameter interval can also indicate that the geological information of the target gas well is poor.

[0114] In one possible implementation, the first sub-parameter interval can also indicate a large development potential of the recoverable resources, the second sub-parameter interval can also indicate a medium development potential of the recoverable resources, and the third sub-parameter interval can also indicate a small development potential of the recoverable resources.

[0115] S105. Based on multiple first parameters and multiple second parameters, determine the exploitation feasibility of the target gas well.

[0116] In some implementations, the target parameters of the target gas well are determined based on multiple first parameters and multiple second parameters, which may include:

[0117] Obtain the first weight corresponding to each first piece of information and the second weight corresponding to each second piece of information. The first weight is used to indicate the importance of each first piece of information to the evaluation of the exploitation feasibility of the target gas well, and the second weight is used to indicate the importance of each second piece of information to the evaluation of the exploitation feasibility of the target gas well.

[0118] Based on each piece of first information, the first weight corresponding to each piece of first information, each piece of second information, and the second weight corresponding to each piece of second information, the exploitation feasibility of the target gas well is determined.

[0119] In one possible implementation, determining the exploitation feasibility of a target gas well based on each piece of first information, the first weight corresponding to each piece of first information, each piece of second information, and the second weight corresponding to each piece of second information may include: weighting and summing each piece of first information, the first weight corresponding to each piece of first information, each piece of second information, and the second weight corresponding to each piece of second information to obtain the target parameters of the target gas well, and determining the exploitation feasibility of the target gas well based on the target parameters.

[0120] In one possible implementation, among the first pieces of information, gas content and coal seam thickness are the most important for evaluating the exploitation feasibility of the target gas well. Therefore, among the first weights corresponding to each piece of first information, the first weight corresponding to gas content and the first weight corresponding to coal seam thickness are the largest.

[0121] In one possible implementation, among all the second information, resource abundance is the most important for evaluating the exploitation feasibility of the target gas well. Therefore, among the second weights corresponding to each second information, the second weight corresponding to resource abundance is the largest.

[0122] For example, the first weight value can be as shown in Table 2.

[0123] Table 2

[0124]

[0125] For example, the second weight value can be as shown in Table 3.

[0126] Table 3

[0127]

[0128] In one possible implementation, the sum of the first weight corresponding to each piece of first information and the second weight corresponding to each piece of second information is 1.

[0129] In one possible implementation, the first information and its corresponding first weight can be weighted and summed, and the second information and its corresponding second weight can be weighted and summed. The sums of the two can then be added together to obtain the target parameter, which is used to indicate the feasibility of exploiting the target gas well.

[0130] In one possible implementation, if the target parameter is greater than or equal to a first threshold, it indicates that the target gas well has high exploitability, representing an optimal development target area with excellent comprehensive geological, engineering, and economic conditions, and possessing value for large-scale development. If the target parameter is less than or equal to a second threshold, it indicates that the target gas well has low exploitability, representing an unfavorable development area with significant shortcomings in geological reservoirs, engineering modification, or economic benefits, and currently lacks development value. If the target parameter is greater than the second threshold but less than the first threshold, it indicates that the target gas well has moderate exploitability, representing a potential development area with good overall conditions but some shortcomings in local parameters, and economic development can be achieved through targeted engineering and technical optimization. The first threshold is greater than the second threshold.

[0131] For example, the first threshold is 8 and the second threshold is 0.65.

[0132] In this embodiment of the application, multiple first pieces of information corresponding to the coal and rock mass of the target gas well are determined, and the first pieces of information are used to indicate the reservoir physical characteristics of the coal and rock mass; second pieces of information corresponding to the target gas well are obtained, and the second pieces of information include multiple geological information and recoverable resources of the target gas well; first parameters corresponding to each piece of first information are determined, and the first parameters are used to indicate the quality of the reservoir physical characteristics of the coal and rock mass; multiple second parameters corresponding to the second information are determined, and the multiple second parameters are used to indicate the development potential of the geological information and recoverable resources of the target gas well; based on the multiple first parameters and the multiple second parameters, the exploitation feasibility of the target gas well is determined.

[0133] In the above method, by determining the reservoir physical characteristics of the coal-rock body corresponding to the target gas well, the geological information and recoverable resources of the gas well where the coal-rock body is located are obtained in multiple dimensions. The quality of reservoir physical characteristics, geological information and the development potential of recoverable resources are quantified respectively. Then, the exploitation feasibility of the target gas well is comprehensively evaluated based on the quantification results. This method can accurately characterize the reservoir characteristics of deep coal-rock gas, clearly classify resource categories, and thus accurately determine the exploitation feasibility of the target gas well. This solves the problem of inaccurate results when traditional shallow coal-rock gas evaluation methods are applied to the evaluation of deep coal-rock gas wells.

[0134] Next, combined Figure 2 This section details a method for determining multiple pieces of primary information corresponding to coal and rock masses. For example, Figure 2A flowchart illustrating a method for determining first information provided in an embodiment of this application is shown below. Figure 2 As shown, the method includes:

[0135] S201. Obtain first data, which is used to indicate the physical response characteristics of the coal and rock mass and the reservoir occurrence state.

[0136] In one possible implementation, the first data can be well logging data, which may include parameters such as sonic transit time, resistivity, density, natural gamma, well temperature, and pressure of the coal and rock mass.

[0137] In one possible implementation, physical response characteristics refer to the physical property responses of coal and rock masses during well logging exploration. Coal and rock masses with different reservoir characteristics respond differently to well logging signals, and characteristics such as lithology, porosity, and gas content of coal and rock masses can be inferred from well logging data.

[0138] In one possible implementation, reservoir occurrence state refers to the storage form and distribution characteristics of natural gas in the coal and rock mass, as well as the spatial occurrence characteristics of the coal and rock mass itself.

[0139] S202. Analyze the first data to obtain the storage capacity of the coal and rock mass for natural gas.

[0140] In one possible implementation, continuous logging data can be collected in the section of the target gas well where it encounters coal and rock mass (target formation) using logging while drilling or completion logging techniques. This data includes parameters such as sonic transit time, resistivity (deep / shallow lateral), density, natural gamma, neutron porosity, formation pressure, and well temperature. The logging data is then standardized, including depth realignment, environmental correction (well diameter and mud density correction), and curve smoothing, to eliminate errors caused by the exploration environment. Finally, the logging data is used to calculate the gas content of the coal and rock mass, i.e., the natural gas storage capacity of the coal and rock mass, through a deep coal and rock gas content logging interpretation model.

[0141] In another possible implementation, when extracting coal and rock mass from the target gas well, a pressure-holding module can be formed by installing a pressure-holding valve, a sealing cavity, and a pressure compensation system in the wireline coal and rock mass extraction tool. During the extraction process, the pressure-holding valve automatically closes (or is triggered by a downhole signal) after the coal and rock mass enters the inner cylinder, sealing and maintaining the original pressure, thus minimizing core gas loss. Furthermore, a pressure sensor can be installed inside the coal and rock mass extraction tank to monitor the internal pressure in real time, ensuring pressure stability during extraction. During drilling and coring, the wireline coal and rock mass extraction tool is used to quickly obtain the coal and rock mass, and then the gas loss is calculated. The lost gas volume is then added to the gas content to obtain the final gas content.

[0142] Among them, the pressure-holding valve can close in time after the coal and rock mass enters the inner cylinder to prevent gas from escaping; the sealing cavity adopts a double sealing structure of rubber and metal to ensure good sealing performance; the pressure compensation system maintains the pressure inside the cavity consistent with the formation pressure to ensure that the core is in its original pressure state.

[0143] In one possible implementation, the gas loss can be expressed as follows:

[0144] Q = k × t × (P1 - P2)

[0145] Where k is the coal matrix permeability correction coefficient, t is the exposure time, P1 is the reservoir pressure, and P2 is the pressure inside the coal extraction tank. The coal matrix permeability correction coefficient can be determined based on the specific properties of the coal and rock and experimental data. The exposure time is the time the coal and rock mass is exposed during the extraction process, and the unit can be minutes. The reservoir pressure can be obtained through well logging data and geological analysis, and the pressure inside the coal extraction tank can be monitored in real time during the extraction process.

[0146] In this way, by accurately calculating the amount of gas lost, the accuracy of the evaluation of the true content of deep coal and rock gas can be improved.

[0147] S203. Based on the storage capacity of coal and rock mass for natural gas, determine the first information.

[0148] In one possible implementation, the first information may include the coal seam's ability to store natural gas.

[0149] In some implementations, determining the first piece of information based on the natural gas storage capacity of the coal seam can include:

[0150] Acquire second data, which is used to indicate the spatial distribution characteristics of the target gas well; based on the second data, determine the coal seam thickness of the coal-rock mass; based on the natural gas storage capacity of the coal-rock mass and the coal seam thickness, determine first information.

[0151] In one possible implementation, the second data can be seismic exploration data, including seismic reflection waves, stratigraphic data, coal seam spatial morphology data, etc., which can indicate the spatial characteristics of the regional structure, lateral distribution, and vertical development of the coal and rock mass encountered by the target gas well.

[0152] In one possible implementation, the coal seam thickness can be defined as the vertical development thickness of the coal and rock mass, which is a core indicator of the physical characteristics of the coal and rock mass reservoir and can determine the spatial scale of natural gas storage.

[0153] In one possible implementation, the storage capacity of coal and rock mass for natural gas refers to the physical carrying capacity of the coal and rock mass to accommodate adsorbed gas and free gas through its own pores, fissures, adsorption sites in the coal matrix, and other carriers.

[0154] In one possible implementation, acquiring the second data may include: collecting seismic exploration data of the area where the target gas well is located, serving as the spatial basis for determining the coal seam thickness. A full-coverage exploration of the target gas well is conducted using 3D seismic exploration technology to collect seismic wave reflection and refraction data. After preprocessing such as denoising, stacking, and migration imaging, the final result is the second data containing coal seam horizon calibration, structural morphology, and spatial distribution, including seismic reflection horizon depth profiles, coal seam planar distribution maps, and stratigraphic dip data.

[0155] In one possible implementation, determining the coal seam thickness of the coal-rock mass based on the second data may include: performing inversion analysis and stratigraphic calibration on the second data; firstly, identifying the interface between the coal-rock mass and the surrounding rocks of the roof and floor through the characteristics of seismic reflection waves to preliminarily determine the vertical development thickness range of the coal seam; then, combining the lateral distribution information of the second data to verify the planar consistency of the coal seam thickness and eliminate local thickness deviations caused by tectonic undulations; finally, obtaining the coal seam thickness of the coal-rock mass encountered by the target gas well.

[0156] In one possible implementation, coal seam thickness can be used as a key supplementary indicator, combined with gas content, to integrate the inherent reservoir physical characteristics of the coal and rock mass, thereby determining the primary information.

[0157] In some implementations, the first information, determined based on the natural gas storage capacity of the coal seam and the coal seam thickness, may include:

[0158] Obtain the first depth and first pressure of the coal-rock mass in the target gas well; based on the first depth, determine the second pressure of the coal-rock mass, which indicates the pressure exerted on the coal-rock mass by the weight of the groundwater column at the first depth; determine the ratio of the first pressure and the second pressure as the pressure coefficient of the coal-rock mass, which indicates the in-situ storage capacity of the coal-rock mass for natural gas; and determine the first information based on the natural gas storage capacity of the coal-rock mass, the coal seam thickness, and the pressure coefficient.

[0159] In one possible implementation, the first depth refers to the actual underground burial depth of the coal and rock mass in the target gas well, which can be measured in meters.

[0160] In one possible implementation, the first pressure can refer to the original formation pressure (reservoir pressure) of the coal and rock mass at the first depth. It is the in-situ pressure of the coal and rock mass under the action of surrounding rocks and fluids underground, and the unit can be megapascals.

[0161] In one possible implementation, the second pressure can refer to the hydrostatic pressure generated by the weight of the groundwater column at the first depth of the coal and rock mass. It is a benchmark pressure for measuring whether the formation pressure is normal, and the unit is megapascals.

[0162] In one possible implementation, the pressure coefficient can refer to the ratio of the first pressure (formation pressure) to the second pressure (hydrostatic pressure) of the coal and rock mass. It has no unit. The larger the pressure coefficient, the stronger the in-situ preservation capacity of the coal and rock mass for natural gas.

[0163] In one possible implementation, the depth of the coal-rock reservoir section of the target gas well can be calibrated using the first data to determine the top and bottom depths of the reservoir section, and the depth of the middle part of the section can be taken as the first depth of the coal-rock body. Then, a fixed-point pressure test is conducted in the coal-rock reservoir section using a cable-stayed formation pressure tester. After combining geological analysis and pressure comparison with adjacent wells, the test data is corrected to obtain the original formation pressure of the coal-rock body at the first depth, i.e., the first pressure. The pressure test error should be small to ensure the accuracy of the parameters.

[0164] In one possible implementation, the water density, gravitational acceleration, and first depth can be multiplied to obtain the second pressure.

[0165] In one possible implementation, the ratio of the first pressure to the second pressure can be defined as the pressure coefficient.

[0166] In one possible implementation, the pressure coefficient can be used as a key supplementary indicator, combined with coal seam thickness and gas content, to integrate the inherent reservoir physical characteristics of the coal and rock mass, thereby determining the primary information.

[0167] Based on the above embodiments, the second data can be analyzed to obtain the coal seam structure and the lithology of the roof and floor.

[0168] Based on the above embodiments, the coal structure of the coal body can be obtained by acquiring parameters such as the physical properties and gas adsorption / desorption characteristics of the coal and rock mass, and then performing core analysis on these parameters.

[0169] Based on the above embodiments, the proportion of free gas can be determined by the first data. For example, the free gas content of the coal and rock mass can be determined based on the response relationship between the first data and the occurrence state of deep coal and rock gas, and based on the acoustic transit time (indicating the pore structure and gas-bearing capacity of the coal and rock mass), resistivity (indicating the conductivity of the coal and rock mass), density (indicating the material composition and porosity of the coal and rock mass), and natural gamma (indicating the lithological characteristics of the coal and rock mass) in the first data. Then, the quotient of the free gas content and the gas content is taken as the proportion of free gas.

[0170] For example, the free gas content can be expressed as follows:

[0171] V1=0.35×(Rt×△T×DEN×GR)-1.2

[0172] Where V1 represents the free gas content, Rt represents the resistivity, ΔT represents the acoustic transit time, DEN represents the density, and GR represents the natural gamma.

[0173] In one possible implementation, the proportion of free gas, coal seam structure, roof and floor lithology, and coal body structure can be combined as key supplementary indicators, along with pressure coefficient, coal seam thickness, and gas content, to integrate the inherent reservoir physical characteristics of the coal and rock mass, thereby determining the first information.

[0174] In this embodiment, by fusing and acquiring multi-source data such as well logging, seismic exploration, and pressure-maintaining coal-rock bodies, and combining multi-dimensional analysis methods such as accurate gas content measurement, pressure coefficient calculation, and free gas ratio modeling, core reservoir characteristics such as gas content, coal seam thickness, and pressure coefficient of the coal-rock body are extracted. Furthermore, key supplementary indicators such as free gas ratio, coal seam structure, roof and floor lithology, and coal body structure are integrated to explore the inherent reservoir physical characteristics such as storage capacity, in-situ preservation capacity, and reservoir stability of the coal-rock body. Thus, multiple primary information corresponding to the coal-rock body can be comprehensively and accurately determined, laying the foundation for accurately evaluating the exploitation feasibility of the target gas well.

[0175] Next, combined Figure 3 This section details a method for determining multiple pieces of secondary information corresponding to coal and rock masses. For example, Figure 3 A flowchart illustrating a method for determining second information provided in an embodiment of this application is shown below. Figure 3 As shown, the method includes:

[0176] S301. Obtain the first sub-data and the second sub-data from the second data. The first sub-data is used to indicate the distribution characteristics of the faults in the target gas well, and the second sub-data is used to indicate the distribution characteristics of natural gas in the target gas well.

[0177] In one possible implementation, the first sub-data may refer to the fault density in the second data, and the second sub-data may refer to the dip angle of the strata in the second data.

[0178] S302. Based on the first sub-data and the second sub-data, determine the first index of the target gas well. The first index is used to indicate the geological structure and coal seam development stability of the target gas well.

[0179] In one possible implementation, the first index is an indicator used to indicate the geological structure of the target gas well.

[0180] In one possible implementation, the larger the first index, the better the structural stability of the target gas well, which is conducive to gas storage; the smaller the second index, the worse the structural stability of the target gas well, which is not conducive to gas storage and development.

[0181] In one possible implementation, the first index of the target gas well can be expressed as:

[0182] CSI = 1 / (s1 × s2)

[0183] Where s1 represents fault density, s2 represents stratigraphic dip angle, and CSI represents the first index.

[0184] S303. Determine the second information based on the first index.

[0185] In one possible implementation, the second information may include the first index.

[0186] Based on the above embodiments, second information can also be determined based on resource abundance and the first index.

[0187] In one possible implementation, the second data can be analyzed to determine resource abundance.

[0188] In one possible implementation, resource abundance can be used as a key supplementary indicator, combined with the first index, to integrate the geological information of the target gas well, thereby determining the second information.

[0189] Based on the above embodiments, second information can also be determined based on the recoverable resources of the target gas well, the first index, and the resource abundance.

[0190] In one possible implementation, the final recoverable reserves of a single target gas well can be quantitatively calculated using Monte Carlo simulation. The single-well cost (e.g., 30-50 million yuan) and gas price (1.2-2.0 yuan / cubic meter) are used as simulation input parameters. Combined with the geological information and extraction technology level of the target gas well, a calculation range for the final recoverable reserves of a single well is set. Through multiple random simulations, the final recoverable reserves of a single well that satisfy an internal rate of return greater than or equal to a preset rate of return (e.g., 8%) are obtained as the quantitative result of the recoverable resources of the target gas well. Simultaneously, three types of parameters—the first index, resource abundance, and the final recoverable reserves of a single well that meet the economic limit—are used as core indicators and integrated together as the second information of the target gas well. This second information can comprehensively indicate the geological structural stability, resource enrichment, and economic recoverability of the target gas well, providing core basis from both geological and economic dimensions for subsequent evaluation of the feasibility of target gas well extraction.

[0191] In one possible implementation, when determining the final recoverable reserves of a single well, further calibration can be performed using a gas price threshold. When the gas price is greater than or equal to a preset gas price threshold (e.g., 1.8 yuan / cubic meter), the lower limit is set at an economic limit of 37.71 million cubic meters, corresponding to a lower limit for resource abundance (e.g., ...). If the calculated recoverable reserves of a single well are higher than the lower limit, the resource abundance reaches the corresponding standard, and the first index meets the high-quality structural standard, then the geological and economic conditions of the target gas well are considered to be excellent. Otherwise, the development potential and development shortcomings of the target gas well are determined by combining the parameter shortcomings.

[0192] In this embodiment, core sub-data such as fault density and formation dip angle are accurately extracted from the second data. A first index is obtained through quantitative modeling and calculation. Furthermore, the resource abundance analyzed from the second data and the final recoverable reserves of a single well that meet the economic limit are combined with the second data to form a second information that combines geological characteristics and economic attributes. This enables a comprehensive characterization of the geological structure stability, resource enrichment, and economic recoverability of the target gas well, thus laying the foundation for accurately evaluating the exploitation feasibility of the target gas well.

[0193] Based on the above embodiments, different target parameters correspond to different levels. For example, Table 4 shows the correspondence between different target parameters and different levels.

[0194] Table 4

[0195]

[0196] Continued from Table 4

[0197]

[0198] Based on the above embodiments, different first information and second information correspond to different levels of judgment criteria. For example, Table 5 shows the corresponding relationship between different levels of first information and second information.

[0199] Table 5

[0200]

[0201] Continued from Table 5

[0202]

[0203] The method for determining the fracturability index is as follows:

[0204] The content of brittle minerals, Young's modulus, Poisson's ratio, and cleavage density are obtained. Based on these parameters, a fracturability index is determined. The brittle mineral content (including quartz, feldspar, carbonate, and sulfate minerals) indicates the ease with which the coal and rock mass can form fractures; a higher brittle mineral content makes the coal and rock mass more susceptible to fracturing. Young's modulus (in gigapascals) and Poisson's ratio indicate the brittleness of the coal and rock mass and the extent of fracture propagation. Cleavage density (in strips per 5 cm) indicates the distribution characteristics of fractures in the coal and rock mass; a higher cleavage density is more conducive to fracturing.

[0205] For example, the fracturing index can be expressed as:

[0206] FI=0.2×a1+0.3×(E / v)+0.5×a2

[0207] Where FI represents the fracturability index, a1 represents the brittle mineral content, E represents Young's modulus, v represents Poisson's ratio, and a2 represents the cleavage density.

[0208] Figure 4 This is a schematic diagram of a target gas well evaluation device provided in an embodiment of this application. Please refer to... Figure 4 The target gas well evaluation device 400 includes: a first determining module 401, an acquisition module 402, a second determining module 403, a third determining module 404, and a fourth determining module 405, wherein...

[0209] The first determining module 401 is used to determine multiple first pieces of information corresponding to the coal and rock mass of the target gas well. The first pieces of information are used to indicate the reservoir physical characteristics of the coal and rock mass.

[0210] The acquisition module 402 is used to acquire the second information corresponding to the target gas well. The second information includes multiple geological information and recoverable resources of the target gas well.

[0211] The second determining module 403 is used to determine the first parameter corresponding to each first piece of information. The first parameter is used to indicate the quality of the reservoir physical characteristics of the coal and rock mass.

[0212] The third determining module 404 is used to determine multiple second parameters corresponding to the second information. The multiple second parameters are used to indicate the geological information and development potential of the recoverable resources of the target gas well.

[0213] The fourth determining module 405 is used to determine the exploitation feasibility of the target gas well based on multiple first parameters and multiple second parameters.

[0214] The target gas well evaluation device provided in this application embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0215] In one possible implementation, the first determining module 401 is specifically used for:

[0216] Acquire first data, which is used to indicate the physical response characteristics of the coal and rock mass and the reservoir occurrence state;

[0217] The first set of data was analyzed to determine the storage capacity of the coal and rock mass for natural gas.

[0218] The first information is determined based on the natural gas storage capacity of the coal and rock mass.

[0219] In one possible implementation, the first determining module 401 is specifically used for:

[0220] Acquire second data, which is used to indicate the spatial distribution characteristics of the target gas well;

[0221] Based on the second data, the thickness of the coal seam in the coal-rock mass is determined;

[0222] The first piece of information is determined based on the natural gas storage capacity of the coal seam and the coal seam thickness.

[0223] In one possible implementation, the first determining module 401 is specifically used for:

[0224] Obtain the first depth and first pressure of the coal and rock mass in the target gas well;

[0225] Based on the first depth, a second pressure is determined for the coal and rock mass. The second pressure is used to indicate the pressure exerted on the coal and rock mass by the weight of the groundwater column at the first depth.

[0226] The ratio of the first pressure to the second pressure is determined as the pressure coefficient of the coal and rock mass, which is used to indicate the in-situ preservation capacity of the coal and rock mass for natural gas.

[0227] The first information is determined based on the coal seam's ability to store natural gas, the coal seam thickness, and the pressure coefficient.

[0228] In one possible implementation, the acquisition module 402 is specifically used for:

[0229] Obtain the first sub-data and the second sub-data from the second data. The first sub-data is used to indicate the distribution characteristics of the faults in the target gas well, and the second sub-data is used to indicate the distribution characteristics of the natural gas in the target gas well.

[0230] Based on the first and second sub-data, a first index for the target gas well is determined. The first index is used to indicate the geological structure and coal seam development stability of the target gas well.

[0231] The second piece of information is determined based on the first index.

[0232] In one possible implementation, the fourth determining module 405 is specifically used for:

[0233] Obtain the first weight corresponding to each first piece of information and the second weight corresponding to each second piece of information. The first weight is used to indicate the importance of each first piece of information to the evaluation of the exploitation feasibility of the target gas well, and the second weight is used to indicate the importance of each second piece of information to the evaluation of the exploitation feasibility of the target gas well.

[0234] Based on each piece of first information, the first weight corresponding to each piece of first information, each piece of second information, and the second weight corresponding to each piece of second information, the exploitation feasibility of the target gas well is determined.

[0235] The target gas well evaluation device provided in this application embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0236] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 5 As shown, the electronic device 500 may include: a transceiver 501, a processor 502, and a memory 503.

[0237] Processor 502 executes computer execution instructions stored in memory, causing processor 502 to perform the scheme in the above embodiments. Processor 502 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be 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.

[0238] The memory 503 is connected to the processor 502 via the system bus and completes communication between them. The memory 503 is used to store computer program instructions.

[0239] Transceiver 501 can be used to obtain the task to be run and its configuration information.

[0240] The system bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. Transceivers are used to enable communication between database access devices and other computers (e.g., clients, read-write libraries, and read-only libraries). Memory may include random access memory (RAM) and may also include non-volatile memory.

[0241] The electronic device provided in this application embodiment can be any device with on-device computing capabilities. For example, the electronic device can be a server, computer, or other such device, and this application embodiment does not limit this.

[0242] This application also provides a chip for executing instructions, which is used to execute the technical solution of the target gas well evaluation method in the above embodiments.

[0243] This application also provides a computer-readable storage medium storing computer instructions. When the computer instructions are executed on a computer, the computer performs the technical solution of the target gas well evaluation method described in the above embodiments.

[0244] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or modules, and may be electrical, mechanical, or other forms.

[0245] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to implement the solution of this embodiment according to actual needs.

[0246] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The unit composed of the above modules can be implemented in hardware or in the form of hardware plus software functional units.

[0247] The integrated modules described above, implemented as software functional modules, can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods of the various embodiments of this application.

[0248] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly manifested as execution by a hardware processor, or execution by a combination of hardware and software modules within the processor.

[0249] The memory may include high-speed RAM, and may also include non-volatile memory (NVM), such as at least one disk storage device, and may also be a USB flash drive, external hard drive, read-only memory, disk or optical disc, etc.

[0250] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0251] The aforementioned storage media can be implemented from any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The storage media can be any available medium accessible to general-purpose or special-purpose computers.

[0252] An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Alternatively, the storage medium can be an integral part of the processor. The processor and storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and storage medium can exist as discrete components in an electronic control unit or main control device.

[0253] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0254] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for evaluating a target gas well, characterized in that, include: Determine multiple pieces of first information corresponding to the coal and rock mass of the target gas well, wherein the first information is used to indicate the reservoir physical characteristics of the coal and rock mass; Obtain second information corresponding to the target gas well, the second information including multiple geological information and recoverable resources of the target gas well; Determine the first parameter corresponding to each piece of first information, wherein the first parameter is used to indicate the quality of the reservoir physical characteristics of the coal and rock mass; Determine multiple second parameters corresponding to the second information, the multiple second parameters being used to indicate the geological information and development potential of the recoverable resources of the target gas well; Based on the plurality of first parameters and the plurality of second parameters, the exploitation feasibility of the target gas well is determined.

2. The method according to claim 1, characterized in that, The determination of multiple first pieces of information corresponding to the coal and rock mass includes: Acquire first data, which is used to indicate the physical response characteristics of the coal and rock mass and the reservoir occurrence state; The first data is analyzed to obtain the storage capacity of the coal and rock mass for natural gas. The first information is determined based on the natural gas storage capacity of the coal and rock mass.

3. The method according to claim 2, characterized in that, The determination of the first information based on the natural gas storage capacity of the coal and rock mass includes: Acquire second data, which is used to indicate the spatial distribution characteristics of the target gas well; Based on the second data, the coal seam thickness of the coal-rock mass is determined; The first information is determined based on the natural gas storage capacity of the coal and rock mass and the thickness of the coal seam.

4. The method according to claim 3, characterized in that, Determining the first information based on the natural gas storage capacity of the coal seam and the coal seam thickness includes: The first depth and first pressure of the coal and rock mass in the target gas well are obtained; Based on the first depth, a second pressure is determined for the coal and rock mass, the second pressure being used to indicate the pressure exerted on the coal and rock mass at the first depth by the weight of the groundwater column; The ratio of the first pressure to the second pressure is determined as the pressure coefficient of the coal and rock mass, which is used to indicate the in-situ preservation capacity of the coal and rock mass for natural gas. The first information is determined based on the natural gas storage capacity of the coal and rock mass, the coal seam thickness, and the pressure coefficient.

5. The method according to claim 4, characterized in that, The step of obtaining the second information corresponding to the target gas well includes: Obtain the first sub-data and the second sub-data from the second data, wherein the first sub-data is used to indicate the distribution characteristics of the faults in the target gas well, and the second sub-data is used to indicate the distribution characteristics of the natural gas in the target gas well; Based on the first sub-data and the second sub-data, a first index is determined for the target gas well, which is used to indicate the geological structure and coal seam development stability of the target gas well; The second information is determined based on the first index.

6. The method according to claim 1, characterized in that, The determination of the exploitation feasibility of the target gas well based on the plurality of first parameters and the plurality of second parameters includes: Obtain a first weight corresponding to each piece of first information and a second weight corresponding to each piece of second information. The first weight is used to indicate the importance of each piece of first information in evaluating the exploitation feasibility of the target gas well, and the second weight is used to indicate the importance of each piece of second information in evaluating the exploitation feasibility of the target gas well. Based on the first information, the first weight corresponding to each first information, the second information, and the second weight corresponding to each second information, the exploitation feasibility of the target gas well is determined.

7. An evaluation device for a target gas well, characterized in that, include: The system comprises a first determining module, an acquisition module, a second determining module, a third determining module, and a fourth determining module, wherein... The first determining module is used to determine multiple first pieces of information corresponding to the coal and rock mass of the target gas well, wherein the first pieces of information are used to indicate the reservoir physical characteristics of the coal and rock mass; The acquisition module is used to acquire second information corresponding to the target gas well, the second information including multiple geological information and recoverable resources of the target gas well; The second determining module is used to determine the first parameter corresponding to each piece of first information, wherein the first parameter is used to indicate the quality of the reservoir physical characteristics of the coal and rock mass; The third determining module is used to determine a plurality of second parameters corresponding to the second information, wherein the plurality of second parameters are used to indicate the geological information and the development potential of the recoverable resources of the target gas well; The fourth determining module is used to determine the exploitation feasibility of the target gas well based on the plurality of first parameters and the plurality of second parameters.

8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 6.

Images