Gas channeling channel determination method and device, electronic equipment and storage medium

Abstract

The invention discloses a gas channeling channel determination method and device, electronic equipment and a storage medium. The method comprises the following steps: for each candidate gas injection channel in a target gas injection well group, determining a first parameter group; determining a first actual membership group; determining a first evaluation result of each parameter in the first parameter group through the first actual membership group according to a predetermined first parameter weight table; summarizing the first evaluation results of the parameters to obtain second evaluation results of the candidate gas injection channels; and if the second evaluation result is greater than a preset threshold value, determining that the candidate gas injection channel corresponding to the second evaluation result is a target gas injection channel. By adopting the technical scheme of the invention, the difference of each parameter in the first parameter group in order of magnitude and quantity unit is eliminated, the system error is reduced, the accuracy of the final determination result is ensured, the gas channeling channel can be quickly determined, and the crude oil recovery rate and the oilfield development effect are ensured.

Description

Technical Field

[0001] This invention relates to the field of oil and gas extraction technology, and in particular to a method, apparatus, electronic device and storage medium for determining gas channeling. Background Technology

[0002] With the development of the petroleum industry and the advancement of technology, gas injection development technology has gradually matured and has become one of the important means to enhance oil recovery in reservoir development.

[0003] Gas channeling is the biggest problem faced in gas drive development. Due to the strong heterogeneity of low-permeability reservoirs, the development of natural and artificial fracture networks, the high fluidity of injected gas, and unreasonable injection and production parameter design, injected gas can channel along dominant seepage channels such as fractures, large pores, and high-permeability strips. The existence of gas channeling channels leads to a decrease in gas drive swept volume, a reduction in oil recovery, and a deterioration in oilfield development results. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for determining gas channel leakage, in order to solve the problem of low efficiency in finding gas channel leakage.

[0005] According to one aspect of the present invention, a method for determining gas channeling is provided, the method comprising:

[0006] For each candidate injection channel in the target injection well group, determine the first parameter group, which includes at least the effective thickness, permeability, planar heterogeneity, vertical heterogeneity, fracture development degree, sedimentary rhythm, injection-production ratio, production gas-oil ratio, injection intensity, and injection-production well spacing.

[0007] Determine the first actual membership group. The first actual membership group contains multiple first actual memberships. The first actual membership is the membership corresponding to the parameter in the first parameter group.

[0008] According to the predetermined first parameter weight table, the first evaluation result of each parameter in the first parameter group is determined through the first actual membership group. The first parameter weight table contains the weight value corresponding to each parameter in the first parameter group.

[0009] The first evaluation results of each parameter are summarized to obtain the second evaluation results of the candidate gas injection channels;

[0010] If the second evaluation result is greater than the preset threshold, then the candidate gas injection channel corresponding to the second evaluation result is determined as the target gas injection channel, and the target gas injection channel is the gas injection channel with a gas channeling degree greater than the preset degree.

[0011] According to another aspect of the present invention, a gas channel determination device is provided, the device comprising:

[0012] The first parameter determination module is used to determine the first parameter set for each candidate gas injection channel in the target gas injection well group. The first parameter set includes at least the effective thickness, permeability, planar heterogeneity, vertical heterogeneity, fracture development degree, sedimentary rhythm, gas injection-production ratio, gas-oil production ratio, injection intensity, and injection-production well spacing.

[0013] The first membership determination module is used to determine the first actual membership group. The first actual membership group contains multiple first actual memberships, and the first actual membership is the membership corresponding to the parameter in the first parameter group.

[0014] The first result determination module is used to determine the first evaluation result of each parameter in the first parameter group according to the pre-determined first parameter weight table and through the first actual membership group. The first parameter weight table contains the weight value corresponding to each parameter in the first parameter group.

[0015] The second result determination module is used to summarize the first evaluation results of each parameter to obtain the second evaluation results of the candidate gas injection channel;

[0016] The target channel determination module is used to determine the candidate gas injection channel corresponding to the second evaluation result as the target gas injection channel if the second evaluation result is greater than a preset threshold. The target gas injection channel is the gas injection channel with a gas channeling degree greater than a preset degree.

[0017] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0018] At least one processor; and

[0019] A memory that is communicatively connected to at least one processor; wherein,

[0020] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the gas channel determination method of any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute and implement the gas channel determination method of any embodiment of the present invention.

[0022] The technical solution of this invention involves determining a first parameter group for each candidate gas injection channel in a target gas injection well group; determining a first actual membership group to eliminate differences in the order of magnitude and units of measurement among the parameters in the first parameter group, thereby reducing systematic errors; determining the first evaluation result of each parameter in the first parameter group based on a pre-determined first parameter weight table through the first actual membership group; and summarizing the first evaluation results of each parameter to obtain a second evaluation result of the candidate gas injection channel; if the second evaluation result is greater than a preset threshold, the candidate gas injection channel corresponding to the second evaluation result is determined as the target gas injection channel, ensuring the accuracy of the final determination result. Using the above operations, gas channel leakage can be quickly identified, thereby ensuring oil recovery rate and oilfield development effectiveness.

[0023] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a flowchart of a method for determining a gas channel according to Embodiment 1 of the present invention;

[0026] Figure 2 This is a schematic diagram of a gas injection well group applicable to an embodiment of the present invention;

[0027] Figure 3 This is a flowchart of another method for determining gas channel leakage according to Embodiment 2 of the present invention;

[0028] Figure 4 This is a schematic diagram of a gas channel determining device according to Embodiment 3 of the present invention;

[0029] Figure 5 This is a schematic diagram of the structure of an electronic device that implements the gas channel determination method of the present invention. Detailed Implementation

[0030] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0032] Example 1

[0033] Figure 1 This is a flowchart illustrating a method for determining gas channeling in Embodiment 1 of the present invention. This embodiment is applicable to situations where gas channeling occurs during gas injection and extraction. The method can be executed by a gas channeling determination device, which can be implemented in hardware and / or software and can be configured in an electronic device with data processing capabilities. Figure 1 As shown, the method includes:

[0034] S110. For each candidate gas injection channel in the target gas injection well group, determine the first parameter group.

[0035] The first parameter group includes at least the effective thickness, permeability, planar heterogeneity, vertical heterogeneity, fracture development degree, sedimentary rhythm, injection-production gas ratio, production gas-oil ratio, injection intensity, and injection-production well spacing.

[0036] Candidate injection channels can be the passages through which gas is injected from injection wells into production wells. Effective thickness refers to the thickness of the portion of the reservoir or geological structure containing the injection channel that allows gas passage; that is, the thickness of the entire channel area minus the thickness of portions where gas cannot pass due to factors such as low porosity, extremely low permeability, or blockage by impurities. Sedimentary rhythm refers to the regular, repetitive changes in the composition, structure, and grain size of sediments in the vertical direction caused by the periodic or regular changes in the environment within the injection channel during the deposition process. The injection-production ratio refers to the ratio of the volume of gas injected into the underground reservoir (or gas storage facility, etc.) to the volume of gas extracted from that reservoir (or gas storage facility, etc.) within a specific time period. The production gas-oil ratio can be defined as the ratio of the daily production volume (cubic meters or cubic feet) of natural gas (dissolved and free gas) to the daily production volume (cubic meters or cubic barrels) of crude oil under standard conditions (typically 1 atmosphere, 15.6°C). Injection intensity can be defined as the ratio of the volume of fluid (such as water or gas) injected into the reservoir per unit time to the product of the reservoir's effective thickness and area. Injection-production well spacing refers to the distance between injection wells and production wells during oil and gas field development. The first parameter group can be the actual parameters within the target injection well group during the gas injection process.

[0037] See Figure 2 , Figure 2 H+1, H+2, H+3, and H+4 are gas injection wells, while H1, H2, H3, H4, H5, H6, H7, and H8 are production wells. The arrows pointing from the gas injection wells to the production wells are the candidate gas injection channels.

[0038] When producing oil using gas injection, the injected gas may cross-flow along dominant seepage channels such as fractures, large pores, and high-permeability zones. The presence of these gas cross-flow channels can lead to a decrease in gas-driven swept volume, reduced oil recovery, and poorer oilfield development. Therefore, it is necessary to assess each candidate gas injection channel and identify any existing gas cross-flow channels to avoid these problems.

[0039] However, accurately identifying the target gas injection channel that belongs to the gas channel among various candidate gas injection channels has become an important issue in ensuring oil recovery.

[0040] Because different injection parameters and conditions within candidate injection channels affect the likelihood of gas channeling during injection, it is necessary to first determine the first set of parameters for each candidate injection channel. This first set of parameters should include at least the effective thickness, permeability, planar heterogeneity, vertical heterogeneity, fracture development degree, sedimentary rhythm, injection-production gas ratio, production gas-oil ratio, injection intensity, and injection-production well spacing. The parameters in this first set should be fully utilized during subsequent analysis of the target injection channel to ensure the accuracy of the final determination.

[0041] S120. Determine the first actual membership group.

[0042] The first actual membership group contains multiple first actual memberships, and the first actual membership is the membership corresponding to the parameter in the first parameter group.

[0043] Membership degree can be used to represent the degree to which an element belongs to a set.

[0044] Since the parameters in the first parameter group have different meanings and different orders of magnitude and units, direct comparison will lead to excessive errors in the comparison results. Therefore, it is necessary to calculate the membership values ​​of each parameter in the first parameter group to eliminate the errors in the overall calculation results caused by the differences in the orders of magnitude and units of each parameter.

[0045] The membership function is used to convert each parameter in the first parameter group into a value between 0 and 1.

[0046] By determining the first actual membership group, the differences in order of magnitude and units of quantity among the parameters in the first parameter group can be eliminated, thereby reducing systematic errors.

[0047] S130. Based on the predetermined first parameter weight table, determine the first evaluation result of each parameter in the first parameter group through the first actual membership group.

[0048] The first parameter weight table contains the weight values ​​corresponding to each parameter in the first parameter group.

[0049] After obtaining the first actual membership group, the corresponding parameters in the first actual membership group can be evaluated through a pre-determined first parameter weight table, thereby determining the first evaluation result corresponding to each parameter.

[0050] Since the first actual membership degree corresponding to each parameter is between 0 and 1, according to the predetermined first parameter weight table, the sum of the first evaluation results of each parameter in the first parameter group determined by the first actual membership degree group must also be between 0 and 1.

[0051] Optionally, based on a pre-determined first parameter weight table, the first evaluation result of each parameter in the first parameter group is determined through the first actual membership group, including:

[0052] Multiply the first actual membership degree of each parameter in the first parameter group by the corresponding weight in the first parameter weight table to obtain the first evaluation result of each parameter.

[0053] To determine the first evaluation result, the first actual membership degree corresponding to each parameter in the first parameter group can be multiplied by the corresponding weight in the first parameter weight table to obtain the first evaluation result of each parameter.

[0054] For example, if the first actual membership degree corresponding to the effective thickness in the first parameter group is 0.5 and the weight value is 0.5, then multiplying the two together will give a first evaluation result of 0.25.

[0055] In one alternative approach, the process of determining the first parameter weight table may include steps A1-A3:

[0056] Step A1: Determine the relative importance of each parameter in the first parameter group using the nine-scale method. The relative importance is used to describe the degree of importance between two parameters.

[0057] Step A2: Using the square root method, determine the weight of each parameter in the first parameter group based on the relative importance of each parameter.

[0058] Step A3: Generate the first parameter weight table based on the weight of each parameter in the first parameter group.

[0059] The nine-scale method is a widely used approach in the Analytic Hierarchy Process (AHP) to quantify the relative importance of elements. In AHP, to compare the relative importance of different elements at the same level relative to a certain criterion at the next higher level, a decision matrix needs to be constructed. The nine-scale method is used to determine the values ​​of each element in the decision matrix.

[0060] The nine-scale method is based on the logic that two elements are compared and their values ​​are taken from 1 to 9 and their reciprocals according to the degree of difference in their relative importance.

[0061] The determination of relative importance can be done manually based on expert experience. See Table 1 for example:

[0062] Table 1

[0063] Effective thickness Penetration Effective thickness 1 3 Penetration 1 / 3 1

[0064] After obtaining Table 1, the weights of each parameter are determined using the square root method, thus obtaining the first parameter weight table. Table 2 is used as an example:

[0065] Table 2

[0066] Effective thickness 0.101 Penetration 0.024

[0067] It should be noted that Tables 1 and 2 are only for reference and do not show all parameters.

[0068] The relative importance of each parameter in the first parameter group is determined by the nine-scale method. Then, the weight of each parameter in the first parameter group is determined by the square root method based on the relative importance of each parameter. Finally, a first parameter weight table is generated based on the weight of each parameter in the first parameter group. This ensures that the final weight determination fully combines expert knowledge and human experience, thereby guaranteeing the rationality and accuracy of the weights.

[0069] S140. Summarize the first evaluation results of each parameter to obtain the second evaluation results of the candidate gas injection channel.

[0070] By summarizing the first evaluation results of each parameter belonging to the same candidate gas injection channel, the second evaluation result of the candidate gas injection channel can be obtained.

[0071] Since the weight values ​​of each parameter in the first parameter group are all equal to 1, and the first evaluation results corresponding to each parameter are also data between 0 and 1, the final second evaluation result is also between 0 and 1.

[0072] S150. If the second evaluation result is greater than the preset threshold, then the candidate gas injection channel corresponding to the second evaluation result is determined as the target gas injection channel.

[0073] The target gas injection channel is the gas injection channel with a gas migration degree greater than the preset degree.

[0074] After obtaining the second evaluation results for each candidate gas injection channel, the target gas injection channel is determined by using a preset threshold set in advance based on expert experience.

[0075] The determination method is to compare the second evaluation result with a preset threshold. If the second evaluation result is greater than the preset threshold, the candidate gas injection channel can be determined as the target gas injection channel.

[0076] In one alternative approach, after determining that the candidate injection channel corresponding to the second evaluation result is the target injection channel, steps B1-B7 are further included:

[0077] Step B1: Determine the target injection-production well corresponding to the target gas injection channel.

[0078] Step B2: Determine the interconnection layer data corresponding to each layer in the target injection-production well.

[0079] Step B3: For the interconnected layer data corresponding to each layer, determine the second parameter group corresponding to each layer. The second parameter group includes at least the effective thickness, average layer permeability, layer permeability surge coefficient, and intra-layer permeability range.

[0080] Step B4: Determine the second actual membership group. The second actual membership group contains multiple second actual memberships. The second actual membership is the membership corresponding to the parameter in the second parameter group.

[0081] Step B5: Based on the predetermined second parameter weight table, determine the third evaluation result of each parameter in the second parameter group through the second actual membership group.

[0082] Step B6: Summarize the third evaluation results of each parameter to obtain the fourth evaluation results corresponding to each layer.

[0083] Step B7: Sort each layer according to the magnitude of the fourth evaluation result.

[0084] Once the target gas injection channel is obtained, the corresponding target injection-production wells can be identified. These target injection-production wells include both injection wells and production wells.

[0085] Since the gas injection channel describes the connection between the gas injection well and the production well, but the same group of injection and production wells may be pre-divided into multiple layers, it is also necessary to determine the possibility of gas channeling between each layer and sort them.

[0086] This requires using the acquired interconnection layer data to determine the second set of parameters for each layer. The second set of parameters must include at least the effective thickness, average layer permeability, layer permeability surge coefficient, and intra-layer permeability range.

[0087] Subsequently, the data processing for determining the second actual membership group is the same as that for determining the first actual membership group, and will not be repeated here. Furthermore, the processing of the first and second evaluation results is the same to obtain the third and fourth evaluation results.

[0088] Finally, the layers are ranked according to the magnitude of the fourth evaluation result.

[0089] By identifying the target injection-production wells corresponding to the target gas injection channel; determining the interconnecting layer data for each layer within the target injection-production wells; for each interconnecting layer data, determining the second parameter group for each layer; determining the second actual membership group; based on the pre-determined second parameter weight table, determining the third evaluation result for each parameter in the second parameter group through the second actual membership group; summarizing the third evaluation results for each parameter to obtain the fourth evaluation result for each layer; and finally, ranking each layer according to the magnitude of the fourth evaluation result, the final ranking result can intuitively display the layers most likely to experience gas channeling to the work management personnel, thereby helping staff make quick decisions and improving the final oil and gas extraction efficiency.

[0090] In one alternative approach, the process of determining the weight table for the second parameter may include steps C1-C3:

[0091] Step C1: Determine the relative importance of each parameter in the second parameter group using the nine-scale method.

[0092] Step C2: Using the square root method, determine the weight of each parameter in the second parameter group based on the relative importance of each parameter.

[0093] Step C3: Generate a second parameter weight table based on the weight of each parameter in the second parameter group.

[0094] The processing procedure is the same as that for the first parameter weight table, so it will not be repeated here.

[0095] Optionally, based on a pre-determined second parameter weight table, the third evaluation result for each parameter in the second parameter group is determined through the second actual membership group, including:

[0096] Multiply the second actual membership degree corresponding to each parameter in the second parameter group by the corresponding weight in the second parameter weight table to obtain the third evaluation result of each parameter.

[0097] The process for determining the first evaluation result is the same, and will not be repeated here.

[0098] According to the technical solution of this invention, a first parameter group is determined for each candidate gas injection channel in the target gas injection well group; a first actual membership group is determined, thereby eliminating the differences in order of magnitude and units of quantity among the parameters in the first parameter group, thus reducing systematic errors; according to a pre-determined first parameter weight table, a first evaluation result for each parameter in the first parameter group is determined through the first actual membership group; and the first evaluation results of each parameter are summarized to obtain a second evaluation result for the candidate gas injection channel; if the second evaluation result is greater than a preset threshold, the candidate gas injection channel corresponding to the second evaluation result is determined as the target gas injection channel, ensuring the accuracy of the final determination result. Using the above operations, gas channel leakage can be quickly identified, thereby ensuring oil recovery rate and oilfield development effectiveness.

[0099] Example 2

[0100] Figure 3 This invention provides a flowchart of another method for determining gas channel migration. This embodiment further optimizes the process of determining the first actual membership group in the aforementioned embodiments, based on the above embodiments. This embodiment can be combined with various optional solutions in one or more of the above embodiments. Figure 3 As shown, the method for determining the gas channel in this embodiment may include the following steps:

[0101] S210. For each candidate gas injection channel in the target gas injection well group, determine the first parameter group.

[0102] The first parameter group includes at least the effective thickness, permeability, planar heterogeneity, vertical heterogeneity, fracture development degree, sedimentary rhythm, injection-production gas ratio, production gas-oil ratio, injection intensity, and injection-production well spacing.

[0103] S220. Divide the first parameter group into two sub-first parameter groups to obtain the first sub-first parameter group and the second sub-first parameter group.

[0104] The higher the membership degree of the parameters in the first sub-parameter group, the greater the probability of gas channeling. The lower the membership degree of the parameters in the second sub-parameter group, the greater the probability of gas channeling.

[0105] S230. For each parameter in the first sub-first parameter group, the first actual membership degree is calculated using a semi-increasing membership function to obtain the first sub-first actual membership degree group.

[0106] S240. For each parameter in the first parameter group of the second sub-sub ...

[0107] S250. Determine the first actual membership group based on the first sub-first actual membership group and the second sub-first actual membership group.

[0108] Since the membership degrees of different parameters in the first parameter group are different, and the probability of forming gas channeling is different for different membership degrees, it is necessary to divide the first parameter group into a first sub-first parameter group and a second sub-first parameter group.

[0109] The first sub-parameter group includes effective thickness, permeability, planar heterogeneity, vertical heterogeneity, fracture development degree, sedimentary rhythm, production gas-oil ratio, and injection intensity. The second sub-parameter group includes the injection-production gas ratio and the injection-production well spacing.

[0110] For each parameter in the first sub-first parameter group, the first actual membership degree is calculated using a semi-increasing membership function, thus obtaining the first sub-first actual membership degree group.

[0111] For each parameter in the first parameter group of the second sub-sub ...

[0112] Finally, the first sub-first actual membership group and the second sub-first actual membership group are merged to obtain the final first actual membership group.

[0113] By grouping the first parameter group, a first sub-first parameter group and a second sub-first parameter group are obtained. Then, for each parameter in the first sub-first parameter group, the first actual membership degree is calculated using a semi-rising membership function to obtain a first sub-first actual membership degree group. Similarly, for each parameter in the second sub-first parameter group, the first actual membership degree is calculated using a semi-falling membership function to obtain a second sub-first actual membership degree group. Finally, based on the first sub-first actual membership degree group and the second sub-first actual membership degree group, the first actual membership degree group is determined. This allows for a more accurate utilization of the probability correspondence between each parameter in the first parameter group and the formation of gas channel when calculating the first actual membership degree group, thereby improving the accuracy of the final determined first actual membership degree group.

[0114] S260. Based on the predetermined first parameter weight table, determine the first evaluation result of each parameter in the first parameter group through the first actual membership group.

[0115] The first parameter weight table contains the weight values ​​corresponding to each parameter in the first parameter group.

[0116] S270. Summarize the first evaluation results of each parameter to obtain the second evaluation results of the candidate gas injection channel.

[0117] S280. If the second evaluation result is greater than the preset threshold, then the candidate gas injection channel corresponding to the second evaluation result is determined as the target gas injection channel, and the target gas injection channel is the gas injection channel with a gas channeling degree greater than the preset degree.

[0118] According to the technical solution of the present invention, the first parameter group is divided into a first sub-first parameter group and a second sub-first parameter group; then, for each parameter in the first sub-first parameter group, the first actual membership degree is calculated using a semi-rising membership function to obtain a first sub-first actual membership degree group; and for each parameter in the second sub-first parameter group, the first actual membership degree is calculated using a semi-falling membership function to obtain a second sub-first actual membership degree group; finally, the first actual membership degree group is determined based on the first sub-first actual membership degree group and the second sub-first actual membership degree group, so that when calculating the first actual membership degree group, the probability correspondence between each parameter in the first parameter group and the formation of the gas channel can be more accurately utilized, thereby improving the accuracy of the finally determined first actual membership degree group.

[0119] Example 3

[0120] Figure 4 This invention provides a structural block diagram of a gas channeling determination device, applicable to situations where gas channeling occurs during gas injection and extraction. This gas channeling determination device can be implemented in hardware and / or software and can be configured in an electronic device with data processing capabilities. Figure 4 As shown, the gas channel determination device of this embodiment may include: a first parameter determination module 310, a first membership determination module 320, a first result determination module 330, a second result determination module 340, and a target channel determination module 350. Wherein:

[0121] The first parameter determination module 310 is used to determine the first parameter set for each candidate gas injection channel in the target gas injection well group. The first parameter set includes at least the effective thickness, permeability, planar heterogeneity, vertical heterogeneity, fracture development degree, sedimentary rhythm, gas injection-production ratio, gas-oil production ratio, injection intensity, and injection-production well spacing.

[0122] The first membership determination module 320 is used to determine the first actual membership group. The first actual membership group contains multiple first actual memberships, and the first actual membership is the membership corresponding to the parameter in the first parameter group.

[0123] The first result determination module 330 is used to determine the first evaluation result of each parameter in the first parameter group according to the pre-determined first parameter weight table and through the first actual membership group. The first parameter weight table contains the weight value corresponding to each parameter in the first parameter group.

[0124] The second result determination module 340 is used to summarize the first evaluation results of each parameter to obtain the second evaluation results of the candidate gas injection channel.

[0125] The target channel determination module 350 is used to determine the candidate gas injection channel corresponding to the second evaluation result as the target gas injection channel if the second evaluation result is greater than a preset threshold. The target gas injection channel is the gas injection channel with a gas crosstalk degree greater than a preset degree.

[0126] Based on the above embodiments, optionally, the process of determining the first parameter weight table includes:

[0127] The relative importance of each parameter in the first parameter group is determined by the nine-scale method. The relative importance is used to describe the degree of importance between two parameters.

[0128] By using the square root method, the weight of each parameter in the first parameter group is determined based on the relative importance of each parameter in the first parameter group.

[0129] Generate a first parameter weight table based on the weight of each parameter in the first parameter group.

[0130] Based on the above embodiments, optionally, the first result determination module 330 includes:

[0131] Multiply the first actual membership degree of each parameter in the first parameter group by the corresponding weight in the first parameter weight table to obtain the first evaluation result of each parameter.

[0132] Based on the above embodiments, optionally, the first membership determination module 320 includes:

[0133] The first parameter group is divided into two sub-first parameter groups: the first sub-first parameter group and the second sub-first parameter group. The larger the membership degree of the parameters in the first sub-first parameter group, the greater the probability of gas channeling. The smaller the membership degree of the parameters in the second sub-first parameter group, the greater the probability of gas channeling.

[0134] For each parameter in the first sub-first parameter group, the first actual membership degree is calculated using a semi-increasing membership function to obtain the first sub-first actual membership group;

[0135] For each parameter in the first parameter group of the second sub-sub ...

[0136] The first actual membership group is determined based on the first sub-first actual membership group and the second sub-first actual membership group.

[0137] Based on the above embodiments, optionally, the target channel determination module 350 includes:

[0138] Identify the target injection-production wells corresponding to the target gas injection channel;

[0139] Determine the interconnected layer data corresponding to each layer in the target injection-production well;

[0140] For the interconnected layer data corresponding to each layer, determine the second parameter group corresponding to each layer. The second parameter group includes at least the effective thickness, average permeability of the layer, permeability breakthrough coefficient of the layer, and permeability range within the layer.

[0141] Determine the second actual membership group. The second actual membership group contains multiple second actual memberships. The second actual membership is the membership corresponding to the parameter in the second parameter group.

[0142] Based on the predetermined second parameter weight table, the third evaluation result of each parameter in the second parameter group is determined through the second actual membership group;

[0143] The third evaluation results of each parameter are summarized to obtain the fourth evaluation results corresponding to each layer;

[0144] The layers are ranked according to the magnitude of the fourth evaluation result.

[0145] Based on the above embodiments, optionally, the process of determining the second parameter weight table includes:

[0146] The relative importance of each parameter in the second parameter group is determined by using the nine-scale method.

[0147] By using the square root method, the weight of each parameter in the second parameter group is determined based on the relative importance of each parameter in the second parameter group.

[0148] A second parameter weight table is generated based on the weight of each parameter in the second parameter group.

[0149] Based on the above embodiments, optionally, according to a predetermined second parameter weight table, a third evaluation result for each parameter in the second parameter group is determined through the second actual membership group, including:

[0150] Multiply the second actual membership degree corresponding to each parameter in the second parameter group by the corresponding weight in the second parameter weight table to obtain the third evaluation result of each parameter.

[0151] The gas channel determination device provided in the embodiments of the present invention can execute the gas channel determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0152] Example 4

[0153] Figure 5A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0154] like Figure 5 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0155] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0156] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the gas channel determination method.

[0157] In some embodiments, the gas channel determination method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the gas channel determination method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the gas channel determination method by any other suitable means (e.g., by means of firmware).

[0158] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0159] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0160] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0161] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0162] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0163] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0164] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0165] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining gas channeling pathways, characterized in that, include: For each candidate gas injection channel in the target gas injection well group, a first parameter group is determined. The first parameter group includes at least the effective thickness, permeability, planar heterogeneity, vertical heterogeneity, fracture development degree, sedimentary rhythm, gas injection-production ratio, gas-oil production ratio, injection intensity, and injection-production well spacing. Determine the first actual membership group, which contains multiple first actual memberships, where each first actual membership is the membership corresponding to a parameter in the first parameter group; According to the predetermined first parameter weight table, the first evaluation result of each parameter in the first parameter group is determined through the first actual membership group. The first parameter weight table contains the weight value corresponding to each parameter in the first parameter group. The first evaluation results of each parameter are summarized to obtain the second evaluation results of the candidate gas injection channels; If the second evaluation result is greater than the preset threshold, then the candidate gas injection channel corresponding to the second evaluation result is determined as the target gas injection channel, and the target gas injection channel is the gas injection channel with a gas crosstalk degree greater than the preset degree.

2. The method according to claim 1, characterized in that, The process of determining the first parameter weight table includes: The relative importance of each parameter in the first parameter group is determined by the nine-scale method. The relative importance is used to describe the degree of importance between two parameters. By using the square root method, the weight of each parameter in the first parameter group is determined based on the relative importance of each parameter in the first parameter group. Generate a first parameter weight table based on the weight of each parameter in the first parameter group.

3. The method according to claim 1, characterized in that, Based on a pre-determined first parameter weight table, the first evaluation result of each parameter in the first parameter group is determined through the first actual membership group, including: Multiply the first actual membership degree of each parameter in the first parameter group by the corresponding weight in the first parameter weight table to obtain the first evaluation result of each parameter.

4. The method according to claim 1, characterized in that, Determine the first actual membership group, including: The first parameter group is divided into a first sub-first parameter group and a second sub-first parameter group. The larger the membership degree of the parameters in the first sub-first parameter group, the greater the probability of gas channeling. The smaller the membership degree of the parameters in the second sub-first parameter group, the greater the probability of gas channeling. For each parameter in the first sub-first parameter group, the first actual membership degree is calculated using a semi-increasing membership function to obtain the first sub-first actual membership group; For each parameter in the first parameter group of the second sub-sub ... The first actual membership group is determined based on the first sub-first actual membership group and the second sub-first actual membership group.

5. The method according to claim 1, characterized in that, After determining that the candidate injection channel corresponding to the second evaluation result is the target injection channel, the following steps are also included: Identify the target injection-production well corresponding to the target gas injection channel; Determine the interconnected layer data corresponding to each layer in the target injection-production well; For the interconnected layer data corresponding to each layer, determine the second parameter group corresponding to each layer. The second parameter group includes at least the effective thickness, average permeability of the layer, permeability breakthrough coefficient of the layer, and permeability range within the layer. Determine the second actual membership group, which contains multiple second actual memberships, where each second actual membership is the membership corresponding to a parameter in the second parameter group; Based on the predetermined second parameter weight table, the third evaluation result of each parameter in the second parameter group is determined through the second actual membership group; The third evaluation results of each parameter are summarized to obtain the fourth evaluation results corresponding to each layer; The layers are ranked according to the magnitude of the fourth evaluation result.

6. The method according to claim 5, characterized in that, The process of determining the second parameter weight table includes: The relative importance of each parameter in the second parameter group is determined by using the nine-scale method. By using the square root method, the weight of each parameter in the second parameter group is determined based on the relative importance of each parameter in the second parameter group. A second parameter weight table is generated based on the weight of each parameter in the second parameter group.

7. The method according to claim 5, characterized in that, Based on the predetermined second parameter weight table, the third evaluation result of each parameter in the second parameter group is determined through the second actual membership group, including: Multiply the second actual membership degree corresponding to each parameter in the second parameter group by the corresponding weight in the second parameter weight table to obtain the third evaluation result of each parameter.

8. A device for determining gas channel leakage, characterized in that, include: The first parameter determination module is used to determine the first parameter set for each candidate gas injection channel in the target gas injection well group. The first parameter set includes at least the effective thickness, permeability, planar heterogeneity, vertical heterogeneity, fracture development degree, sedimentary rhythm, gas injection-production ratio, gas-oil production ratio, injection intensity, and injection-production well spacing. The first membership determination module is used to determine the first actual membership group, which contains multiple first actual memberships, and the first actual membership is the membership corresponding to the parameter in the first parameter group. The first result determination module is used to determine the first evaluation result of each parameter in the first parameter group according to the pre-determined first parameter weight table and through the first actual membership group. The first parameter weight table contains the weight value corresponding to each parameter in the first parameter group. The second result determination module is used to summarize the first evaluation results of each parameter to obtain the second evaluation results of the candidate gas injection channel; The target channel determination module is used to determine the candidate gas injection channel corresponding to the second evaluation result as the target gas injection channel if the second evaluation result is greater than a preset threshold. The target gas injection channel is a gas injection channel with a gas crosstalk degree greater than a preset degree.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the gas channel determination method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the gas channel determination method according to any one of claims 1-7.

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