Profile control well selection method, device, equipment and medium

Abstract

The invention discloses a profile control well selection method, device and equipment and a medium. The profile control well selection method comprises the steps that actual index parameter values corresponding to N profile control index factors in a target well group respectively are collected; the target well group is a well group corresponding to the shallow water-drive heavy oil reservoir; determining the actual relative importance degree between every two profile control index factors in the N profile control index factors; according to the actual index parameter values corresponding to the profile control index factors and the actual relative importance degree between every two profile control index factors, the actual profile control degree value of the target well group is determined; according to the historical profile control degree values corresponding to the M historical well groups, a reference profile control degree value is determined; and determining a profile control well selection result of the target well group according to the actual profile control degree value and the reference profile control degree value. Profile control well selection can be carried out on the well group corresponding to the shallow water-drive heavy oil reservoir, the accuracy of profile control well selection of the well group corresponding to the shallow water-drive heavy oil reservoir is improved, and the longitudinal utilization degree is improved.

Description

Technical Field

[0001] This invention relates to the field of well profile control technology, and in particular to a method, apparatus, equipment and medium for profile control and well selection. Background Technology

[0002] Water well profile control is an effective means of controlling water flow and increasing oil production. It can effectively block high-permeability channels and redirect water flow, thereby improving the ultimate recovery rate of oilfields. Various profile control decision-making techniques are available, such as pressure index decision-making, reservoir engineering decision-making, and numerical simulation decision-making. However, these techniques have poor accuracy in profile control and well selection for shallow water-driven heavy oil reservoirs. Therefore, improving the accuracy of profile control and well selection for shallow water-driven heavy oil reservoirs is a pressing issue that needs to be addressed. Summary of the Invention

[0003] This application provides a method, apparatus, equipment, and medium for profile adjustment and well selection, which solves the technical problem of poor accuracy in profile adjustment and well selection for well groups corresponding to shallow water-driven heavy oil reservoirs in the prior art. It achieves the technical effect of improving the accuracy of profile adjustment and well selection for well groups corresponding to shallow water-driven heavy oil reservoirs.

[0004] Firstly, this application provides a method for profile control and well selection, the method comprising:

[0005] Collect the actual parameter values ​​corresponding to N profile control factors in the target well group; the target well group is the well group corresponding to the shallow water-drive heavy oil reservoir; N is a positive integer.

[0006] Determine the actual relative importance between any two profile control factors among the N profile control factors;

[0007] Based on the actual parameter values ​​of each profile control index factor and the actual relative importance between each pair of profile control index factors, the actual profile control degree of the target well group is determined.

[0008] The reference profile control value is determined based on the historical profile control values ​​corresponding to M historical well groups; the historical well groups are the well groups corresponding to shallow water-drive heavy oil reservoirs; M is a positive integer.

[0009] Based on the actual profile control degree value and the reference profile control degree value, the profile control and well selection results of the target well group are determined.

[0010] Furthermore, based on the actual parameter values ​​corresponding to each profile control factor and the actual relative importance between any two profile control factors, the actual profile control degree of the target well group is determined, including:

[0011] Based on the actual index parameter values ​​corresponding to each profile control index factor and the actual relative importance between every two profile control index factors, the target fuzzy relationship matrix is ​​determined.

[0012] Determine the target eigenvector corresponding to the largest eigenvalue of the target fuzzy relation matrix;

[0013] Determine the weight vector based on the target feature vector;

[0014] The actual profile control degree of the target well group is determined based on the target fuzzy relation matrix and weight vector.

[0015] Furthermore, determine the actual relative importance between any two of the N profile control factors, including:

[0016] Using the 1-9 scale, the actual relative importance between any two profile control factors among the N profile control factors is determined.

[0017] Furthermore, based on the historical profile control severity values ​​corresponding to the M historical well groups, a reference profile control severity value is determined, including:

[0018] For each of the M historical well groups, obtain the historical index parameter values ​​corresponding to the N profile control index factors in each historical well group;

[0019] Determine the historical relative importance between any two profile control factors among N profile control factors;

[0020] Based on the historical index parameter values ​​corresponding to each profile control index factor in each historical well group and the historical relative importance between each pair of profile control index factors, determine the historical profile control degree value corresponding to each historical well group.

[0021] Based on the historical profile control degree values ​​corresponding to the M historical well groups, a reference profile control degree value is determined.

[0022] Furthermore, based on the historical profile control severity values ​​corresponding to the M historical well groups, a reference profile control severity value is determined, including:

[0023] The average value of the historical profile control degree corresponding to each of the M historical well groups is calculated, and the average value is determined as the reference profile control degree value.

[0024] Furthermore, based on the actual profile control degree value and the reference profile control degree value, the profile control and well selection results for the target well group are determined, including:

[0025] Compare the actual profile adjustment degree value with the reference profile adjustment degree value;

[0026] When the actual profile control degree value is greater than or equal to the reference profile control degree value, the profile control selection result of the target well group is determined to be that no profile control is required.

[0027] When the actual profile control degree is less than the reference profile control degree, the profile control selection result of the target well group is determined to be that profile control is required.

[0028] Furthermore, the N profile control factors include at least one of the following: permeability, porosity, permeability variation coefficient, water absorption profile variation coefficient, apparent water absorption index per meter, water absorption index per meter, pressure drop curve, overall water cut of the well group, production of the well group, distribution of remaining reserves in connected oil wells, recovery degree, and crude oil viscosity.

[0029] Secondly, this application provides a profile control and well selection device, the device comprising:

[0030] The parameter acquisition module is used to acquire the actual index parameter values ​​corresponding to N profile control index factors in the target well group; the target well group is the well group corresponding to the shallow water-drive heavy oil reservoir; N is a positive integer.

[0031] The relative degree determination module is used to determine the actual relative importance between any two profile control index factors among N profile control index factors;

[0032] The actual profile control degree determination module is used to determine the actual profile control degree value of the target well group based on the actual index parameter values ​​corresponding to each profile control index factor and the actual relative importance between each pair of profile control index factors.

[0033] The reference profile control degree determination module is used to determine the reference profile control degree value based on the historical profile control degree values ​​corresponding to M historical well groups; the historical well groups are the well groups corresponding to shallow water-drive heavy oil reservoirs; M is a positive integer;

[0034] The profile control judgment module is used to determine the profile control and well selection results of the target well group based on the actual profile control degree value and the reference profile control degree value.

[0035] Furthermore, the actual profile determination module is used for:

[0036] Based on the actual index parameter values ​​corresponding to each profile control index factor and the actual relative importance between every two profile control index factors, the target fuzzy relationship matrix is ​​determined.

[0037] Determine the target eigenvector corresponding to the largest eigenvalue of the target fuzzy relation matrix;

[0038] Determine the weight vector based on the target feature vector;

[0039] The actual profile control degree of the target well group is determined based on the target fuzzy relation matrix and weight vector.

[0040] Furthermore, the relative degree determination module is used for:

[0041] Using the 1-9 scale, the actual relative importance between any two profile control factors among the N profile control factors is determined.

[0042] Furthermore, the reference profile determination module is used for:

[0043] For each of the M historical well groups, obtain the historical index parameter values ​​corresponding to the N profile control index factors in each historical well group;

[0044] Determine the historical relative importance between any two profile control factors among N profile control factors;

[0045] Based on the historical index parameter values ​​corresponding to each profile control index factor in each historical well group and the historical relative importance between each pair of profile control index factors, determine the historical profile control degree value corresponding to each historical well group.

[0046] Based on the historical profile control degree values ​​corresponding to the M historical well groups, a reference profile control degree value is determined.

[0047] Furthermore, the reference profile determination module is used for:

[0048] The average value of the historical profile control degree corresponding to each of the M historical well groups is calculated, and the average value is determined as the reference profile control degree value.

[0049] Furthermore, the profile adjustment judgment module is used for:

[0050] Compare the actual profile adjustment degree value with the reference profile adjustment degree value;

[0051] When the actual profile control degree value is greater than or equal to the reference profile control degree value, the profile control selection result of the target well group is determined to be that no profile control is required.

[0052] When the actual profile control degree is less than the reference profile control degree, the profile control selection result of the target well group is determined to be that profile control is required.

[0053] Furthermore, the N profile control factors include at least one of the following: permeability, porosity, permeability variation coefficient, water absorption profile variation coefficient, apparent water absorption index per meter, water absorption index per meter, pressure drop curve, overall water cut of the well group, production of the well group, distribution of remaining reserves in connected oil wells, recovery degree, and crude oil viscosity.

[0054] Thirdly, this application provides an electronic device, comprising:

[0055] processor;

[0056] Memory used to store processor-executable instructions;

[0057] The processor is configured to execute a profile selection method as provided in the first aspect.

[0058] Fourthly, this application provides a non-transitory computer-readable storage medium that, when the instructions in the storage medium are executed by the processor of an electronic device, enables the electronic device to perform a profile selection method as provided in the first aspect.

[0059] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0060] This embodiment collects the actual index parameter values ​​corresponding to N profile control index factors in the target well group; the target well group is the well group corresponding to shallow water-driven heavy oil reservoirs; determines the actual relative importance between every two profile control index factors; determines the actual profile control degree value of the target well group based on the actual index parameter values ​​corresponding to each profile control index factor and the actual relative importance between every two profile control index factors; determines the reference profile control degree value based on the historical profile control degree values ​​corresponding to M historical well groups; and determines the profile control well selection result of the target well group based on the actual profile control degree value and the reference profile control degree value. As can be seen, this embodiment can determine whether the target well group needs to be modified based on the actual modification degree value of the target well group and the reference modification degree value of the historical well group. That is, it can select wells for modification of the well group corresponding to the shallow water-driven heavy oil reservoir, improve the accuracy of well selection for modification of the well group corresponding to the shallow water-driven heavy oil reservoir, and thus specifically solve the problem that the sandstone compaction effect in shallow oil reservoirs is small, which easily leads to ineffective water drive circulation. At the same time, it also slows down the degree of dissolved gas precipitation in crude oil, slows down the trend of crude oil viscosity increase, improves the water drive effect of shallow water-driven heavy oil reservoirs, and improves the vertical utilization degree. Attached Figure Description

[0061] 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 some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0062] Figure 1 This is a schematic flowchart of a profile control and well selection method provided in this embodiment;

[0063] Figure 2 This is a schematic diagram illustrating the relationship between multiple profile control index factors provided in this embodiment;

[0064] Figure 3This is a schematic diagram of the 1-9 scale rule provided in this embodiment;

[0065] Figure 4 This is a schematic diagram of a single well group provided in this embodiment;

[0066] Figure 5 This is a schematic diagram of a multi-well group provided in this embodiment;

[0067] Figure 6 This is a schematic diagram of the water intake profile before and after the profile adjustment well group provided in this embodiment;

[0068] Figure 7 This is a schematic diagram of the structure of a profile control and well selection device provided in this embodiment;

[0069] Figure 8 This is a schematic diagram of the structure of an electronic device provided in this embodiment. Detailed Implementation

[0070] This application provides a method for profile adjustment and well selection, which solves the technical problem of poor accuracy in profile adjustment and well selection for shallow water-driven heavy oil reservoirs in the prior art.

[0071] The technical solution of this application embodiment is to solve the above-mentioned technical problems, and the general idea is as follows:

[0072] This embodiment collects the actual index parameter values ​​corresponding to N profile control index factors in the target well group; the target well group is the well group corresponding to shallow water-driven heavy oil reservoirs; determines the actual relative importance between every two profile control index factors; determines the actual profile control degree value of the target well group based on the actual index parameter values ​​corresponding to each profile control index factor and the actual relative importance between every two profile control index factors; determines the reference profile control degree value based on the historical profile control degree values ​​corresponding to M historical well groups; and determines the profile control well selection result of the target well group based on the actual profile control degree value and the reference profile control degree value. As can be seen, by comparing the actual profile control value of the target well group with the reference profile control value of historical well groups, this embodiment can determine whether profile control of the target well group is required. In other words, it can perform profile control and well selection for the well group corresponding to the shallow water-driven heavy oil reservoir, thereby improving the accuracy of profile control and well selection for the well group corresponding to the shallow water-driven heavy oil reservoir. This specifically solves the problem that the sandstone compaction effect in shallow oil reservoirs is small, which easily leads to ineffective water drive circulation. At the same time, it also slows down the degree of dissolved gas precipitation in crude oil, slows down the trend of crude oil viscosity increase, improves the water drive effect of shallow water-driven heavy oil reservoirs, and improves the vertical utilization degree.

[0073] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0074] First, it should be clarified that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0075] For oil reservoirs with significant differences in permeability distribution both horizontally and vertically, strong heterogeneity, high crude oil viscosity, and high mobility ratio, waterflooding development may lead to injected water or edge water fingering or conically advancing along high-permeability zones, large channels, and fractures, causing premature water breakthrough and sudden water flooding, which significantly reduces oilfield recovery. Water well profile control technology can effectively solve these problems, achieving stable oil production and water control in heterogeneous waterflooded heavy oil reservoirs, and improving ultimate recovery.

[0076] Various profile control decision-making techniques are available in related technologies, such as pressure index decision-making, reservoir engineering decision-making, and numerical simulation decision-making. While these techniques have their advantages for different reservoirs and oilfield blocks, they are not applicable to water-driven heavy oil reservoirs, especially shallow water-driven heavy oil reservoirs. The reasons include: the sandstone compaction effect in shallow reservoirs is weak, leading to sand production during production and the formation of high-permeability channels, resulting in ineffective water-driven circulation; as extraction progresses, dissolved gas precipitation in the crude oil increases its viscosity, resulting in poor water-driven performance and increased profile control difficulty; and the remaining reserves of the profile control well group are not considered. Therefore, how to select wells for profile control in shallow water-driven heavy oil reservoirs is a pressing issue that needs to be addressed.

[0077] To address the aforementioned problems, this embodiment provides the following: Figure 1 The method shown includes steps S11-S15.

[0078] Step S11: Collect the actual index parameter values ​​corresponding to the N profile control index factors in the target well group; the target well group is the well group corresponding to the shallow water-drive heavy oil reservoir; N is a positive integer;

[0079] Step S12: Determine the actual relative importance between every two profile control factors among the N profile control factors;

[0080] Step S13: Determine the actual profile control degree of the target well group based on the actual index parameter values ​​corresponding to each profile control index factor and the actual relative importance between each pair of profile control index factors.

[0081] Step S14: Determine the reference profile control degree value based on the historical profile control degree values ​​corresponding to the M historical well groups; the historical well groups are the well groups corresponding to shallow water-drive heavy oil reservoirs; M is a positive integer.

[0082] Step S15: Determine the profile control and well selection results for the target well group based on the actual profile control degree value and the reference profile control degree value.

[0083] The profile adjustment and well selection method provided in this embodiment is applicable to profile adjustment and judgment of well groups corresponding to shallow water-driven heavy oil reservoirs, and can be executed by the host computer corresponding to the shallow water-driven heavy oil reservoir.

[0084] Regarding step S11, collect the actual index parameter values ​​corresponding to the N profile control index factors in the target well group; the target well group is the well group corresponding to the shallow water-driven heavy oil reservoir; N is a positive integer.

[0085] The target well group can be any well group in a shallow water-drive heavy oil reservoir that needs to be assessed for waterdrive profile control. The value of N can be selected based on the actual situation.

[0086] For example, such as Figure 2 As shown, the N profile control index factors can include at least the geological category factors of reservoir heterogeneity, the development category factors (i.e., development factors), and the fluid category factors (i.e., fluid factors).

[0087] Among these factors, the geological category of oil reservoir heterogeneity includes at least the crude oil viscosity range, effective reservoir thickness, coefficient of variation of water absorption percentage, permeability, porosity, coefficient of variation of permeability, and coefficient of variation of water absorption profile. Development factors can be further divided into factors related to the water absorption capacity type of the profile-adjusting well group and factors related to the dynamic type of the oil wells in the profile-adjusting well group. Factors related to the water absorption capacity type of the profile-adjusting well group include at least the apparent water absorption index per meter, the water absorption index per meter, and the pressure drop curve. Factors related to the dynamic type of the oil wells in the profile-adjusting well group include at least the average water cut of the well group, total production, overall water cut of the well group, production of the well group, distribution of remaining reserves in connected wells, and degree of recovery. Fluid factors include at least crude oil viscosity.

[0088] As can be seen, this embodiment uses the distribution of remaining reserves in connected wells (i.e., remaining reserves in the well group), permeability, and crude oil viscosity as decision indicators for profile control and well selection in shallow water-driven heavy oil reservoirs, which can improve the accuracy of profile control and well selection in shallow water-driven heavy oil reservoirs.

[0089] Regarding step S12, determine the actual relative importance between every two profile control factors among the N profile control factors.

[0090] Specifically, the following can be adopted: Figure 3 The 1-9 scale rule shown determines the actual relative importance between any two profile control factors among N profile control factors.

[0091] Regarding step S13, the actual profile control degree of the target well group is determined based on the actual index parameter values ​​corresponding to each profile control index factor and the actual relative importance between each pair of profile control index factors.

[0092] Step S13 specifically includes steps S131-S134.

[0093] Step S131: Determine the target fuzzy relation matrix based on the actual index parameter values ​​corresponding to each profile adjustment index factor and the actual relative importance between each pair of profile adjustment index factors.

[0094] Step S132: Determine the target eigenvector corresponding to the largest eigenvalue of the target fuzzy relation matrix;

[0095] Step S133: Determine the weight vector based on the target feature vector;

[0096] Step S134: Determine the actual profile control degree of the target well group based on the target fuzzy relation matrix and weight vector.

[0097] Regarding step S131, the target fuzzy relation matrix can be referenced from the following matrix G:

[0098]

[0099] Where g is used ij Indicates relative importance, g ij This represents the relative importance of the i-th profile control factor to the j-th profile control factor, with i and j iterating from 1 to N respectively.

[0100] For example, if N is 12, in this embodiment, permeability, porosity, permeability variation coefficient, water absorption profile variation coefficient, apparent water absorption index per meter, water absorption index per meter, pressure drop curve, overall water cut of the well group, production of the well group, distribution of remaining reserves in connected oil wells, recovery rate, and crude oil viscosity are represented by numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, and 12, respectively. Then, i and j in matrix G iterate from 1 to 12. The corresponding matrix G can be transformed into the following matrix:

[0101]

[0102] Among them, g 1-1 This refers to the relative importance of permeability to permeability, g 1-12 This refers to the relative importance of permeability to crude oil viscosity, and so on.

[0103] Regarding step S132, first determine the target eigenvector corresponding to the largest eigenvalue of matrix G. For the specific process, please refer to the relevant content of linear algebra. This embodiment will not elaborate on it here.

[0104] Regarding step S133, the weight vector is determined based on the target feature vector. For details, please refer to the relevant content of linear algebra. This embodiment will not elaborate on it here.

[0105] The weight coefficients for each profile control factor can be determined based on the weight vector, as shown in Table 1. Table 1 provides a clear overview of the weight coefficients for each profile control factor.

[0106] Table 1

[0107]

[0108] Regarding step S134, the actual profile control degree of the target well group is determined based on the target fuzzy relation matrix and weight vector. For details, please refer to the following formula.

[0109]

[0110] Where P is the actual profile control degree of the target well group, and Q is the weight vector.

[0111] Regarding step S14, a reference profile control value is determined based on the historical profile control values ​​corresponding to the M historical well groups; the historical well groups are the well groups corresponding to shallow water-driven heavy oil reservoirs; M is a positive integer.

[0112] Step S14 may specifically include steps S141-S144.

[0113] Regarding step S141, for each of the M historical well groups, obtain the historical index parameter values ​​corresponding to the N profile control index factors in each historical well group.

[0114] Regarding step S142, determine the historical relative importance between every two profile control index factors among the N profile control index factors;

[0115] Regarding step S143, based on the historical index parameter values ​​corresponding to each profile control index factor in each historical well group and the historical relative importance between each pair of profile control index factors, determine the historical profile control degree value corresponding to each historical well group.

[0116] Regarding step S144, a reference profile control value is determined based on the historical profile control degree values ​​corresponding to the M historical well groups.

[0117] Regarding steps S141-S143, M can be set according to the actual situation. The larger M is, the better the universality of the final determined reference profile adjustment value. The processing principle for each historical well group in steps S141-S143 is the same as that in steps S11-S13. For details, please refer to the relevant descriptions in steps S11-S13. This embodiment will not repeat them here.

[0118] Regarding step S144, after determining the historical profile control degree values ​​corresponding to the M historical well groups, the average value of the historical profile control degree values ​​corresponding to the M historical well groups is calculated, and the average value is determined as the reference profile control degree value.

[0119] It should be noted that the reference profile control degree value can be updated at a certain frequency. For example, after judging whether profile control has been performed on 10 target well groups, M historical well groups are selected again to update the reference profile control degree value.

[0120] Regarding step S15, the profile control and well selection results for the target well group are determined based on the actual profile control degree value and the reference profile control degree value.

[0121] Compare the actual profile control degree value with the reference profile control degree value; when the actual profile control degree value is greater than or equal to the reference profile control degree value, the profile control selection result of the target well group is determined to be that no profile control is required; when the actual profile control degree value is less than the reference profile control degree value, the profile control selection result of the target well group is determined to be that profile control is required.

[0122] In summary, this embodiment collects the actual parameter values ​​corresponding to N profile control index factors in the target well group; the target well group is the well group corresponding to shallow water-driven heavy oil reservoirs; the actual relative importance between every two profile control index factors is determined; based on the actual parameter values ​​corresponding to each profile control index factor and the actual relative importance between every two profile control index factors, the actual profile control degree value of the target well group is determined; based on the historical profile control degree values ​​corresponding to M historical well groups, a reference profile control degree value is determined; based on the actual profile control degree value and the reference profile control degree value, the profile control well selection result of the target well group is determined. As can be seen, by comparing the actual profile control value of the target well group with the reference profile control value of historical well groups, this embodiment can determine whether profile control of the target well group is required. In other words, it can perform profile control and well selection for the well group corresponding to the shallow water-driven heavy oil reservoir, thereby improving the accuracy of profile control and well selection for the well group corresponding to the shallow water-driven heavy oil reservoir. This specifically solves the problem that the sandstone compaction effect in shallow oil reservoirs is small, which easily leads to ineffective water drive circulation. At the same time, it also slows down the degree of dissolved gas precipitation in crude oil, slows down the trend of crude oil viscosity increase, improves the water drive effect of shallow water-driven heavy oil reservoirs, and improves the vertical utilization degree.

[0123] For example, a certain oilfield has a short-axis fault anticline with a length of 27 km east-west and a width of 3.6–6.7 km north-south, a structural amplitude of approximately 70 m, and a working area of ​​125.8 km². The target formations are Cretaceous and Jurassic oil-bearing layers, with the top of the oil-bearing layers buried at a depth of 303 m–385 m, an average effective oil layer thickness of 15.5 m, an oil-bearing area of ​​97 km², and geological reserves of 310 million tons. It is a large, high-porosity, high-permeability, edge-water common heavy oil reservoir.

[0124] Oilfields can be divided into three stages in terms of production: trial production evaluation, rapid production increase, and stable production decline. However, water injection was carried out late, and due to the lack of fresh water resources and the limitations of well structure, conventional thermal recovery was difficult to implement on a large scale. As a result, the oilfield was in an inefficient water drive development state with high water cut and low recovery rate.

[0125] For a single well in an oil reservoir block, the actual profile modification degree is calculated, such as... Figure 4 As shown. Reference profile control values ​​were obtained for multiple historical well groups, such as... Figure 5 As shown, the actual profile control degree of a single well is compared with the reference profile control degree of a multi-well group to select the final well to be adjusted. The results after implementing profile control measures on the selected wells show that the profile control wells selected by this method have consistent oil production effects with the measures, thus further verifying the reliability and practicality of the profile control well selection decision-making method.

[0126] The well group selection method provided in this embodiment is used to screen well groups to obtain the well groups that need to be modified, such as... Figure 6 As shown, Figure 6 The data on the left side of the middle section shows the water intake profiles of the well groups that needed profile modification before the modification, and the data obtained after the modification. Figure 6 The water absorption profile on the right side of the middle section improves the longitudinal mobility of water drive in oilfields.

[0127] Based on the same inventive concept, this embodiment provides as follows: Figure 7 The device shown is a profile control and well selection device, which includes:

[0128] The parameter acquisition module 71 is used to acquire the actual index parameter values ​​corresponding to N profile control index factors in the target well group; the target well group is the well group corresponding to the shallow water-driven heavy oil reservoir; N is a positive integer.

[0129] The relative degree determination module 72 is used to determine the actual relative importance between every two profile control index factors among the N profile control index factors;

[0130] The actual profile control degree determination module 73 is used to determine the actual profile control degree value of the target well group based on the actual index parameter values ​​corresponding to each profile control index factor and the actual relative importance between each pair of profile control index factors.

[0131] The reference profile control degree determination module 74 is used to determine the reference profile control degree value based on the historical profile control degree values ​​corresponding to M historical well groups; the historical well groups are the well groups corresponding to shallow water-drive heavy oil reservoirs; M is a positive integer;

[0132] The profile adjustment judgment module 75 is used to determine the profile adjustment and well selection results of the target well group based on the actual profile adjustment degree value and the reference profile adjustment degree value.

[0133] Furthermore, the actual profile determination module 73 is used for:

[0134] Based on the actual index parameter values ​​corresponding to each profile control index factor and the actual relative importance between every two profile control index factors, the target fuzzy relationship matrix is ​​determined.

[0135] Determine the target eigenvector corresponding to the largest eigenvalue of the target fuzzy relation matrix;

[0136] Determine the weight vector based on the target feature vector;

[0137] The actual profile control degree of the target well group is determined based on the target fuzzy relation matrix and weight vector.

[0138] Furthermore, the relative degree determination module 72 is used for:

[0139] Using the 1-9 scale, the actual relative importance between any two profile control factors among the N profile control factors is determined.

[0140] Furthermore, the reference profile determination module 74 is used for:

[0141] For each of the M historical well groups, obtain the historical index parameter values ​​corresponding to the N profile control index factors in each historical well group;

[0142] Determine the historical relative importance between any two profile control factors among N profile control factors;

[0143] Based on the historical index parameter values ​​corresponding to each profile control index factor in each historical well group and the historical relative importance between each pair of profile control index factors, determine the historical profile control degree value corresponding to each historical well group.

[0144] Based on the historical profile control degree values ​​corresponding to the M historical well groups, a reference profile control degree value is determined.

[0145] Furthermore, the reference profile determination module 74 is used for:

[0146] The average value of the historical profile control degree corresponding to each of the M historical well groups is calculated, and the average value is determined as the reference profile control degree value.

[0147] Furthermore, the profile adjustment judgment module 75 is used for:

[0148] Compare the actual profile adjustment degree value with the reference profile adjustment degree value;

[0149] When the actual profile control degree value is greater than or equal to the reference profile control degree value, the profile control selection result of the target well group is determined to be that no profile control is required.

[0150] When the actual profile control degree is less than the reference profile control degree, the profile control selection result of the target well group is determined to be that profile control is required.

[0151] Furthermore, the N profile control factors include at least one of the following: permeability, porosity, permeability variation coefficient, water absorption profile variation coefficient, apparent water absorption index per meter, water absorption index per meter, pressure drop curve, overall water cut of the well group, production of the well group, distribution of remaining reserves in connected oil wells, recovery degree, and crude oil viscosity.

[0152] Based on the same inventive concept, this embodiment provides as follows: Figure 8 An electronic device shown includes:

[0153] Processor 81;

[0154] Memory 82 is used to store executable instructions of processor 81;

[0155] The processor 81 is configured to execute a profile control and well selection method as described above. For example, the electronic equipment may be a host computer corresponding to the shallow water-driven heavy oil reservoir where the target well group is located.

[0156] Based on the same inventive concept, this embodiment provides a non-transitory computer-readable storage medium, which, when the instructions in the storage medium are executed by the processor 81 of an electronic device, enables the electronic device to perform a profile selection method as described above.

[0157] Since the electronic device described in this embodiment is an electronic device used to implement the information processing method in the embodiments of this application, those skilled in the art can understand the specific implementation methods and various variations of the electronic device in this embodiment based on the information processing method described in the embodiments of this application. Therefore, how the electronic device implements the method in the embodiments of this application will not be described in detail here. Any electronic device used by those skilled in the art to implement the information processing method in the embodiments of this application falls within the scope of protection of this application.

[0158] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0159] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0160] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0161] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0162] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0163] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for profile control and well selection, characterized in that, The method includes: Collect the actual index parameter values ​​corresponding to N profile control index factors in the target well group; the target well group is the well group corresponding to the shallow water-drive heavy oil reservoir, and N is a positive integer. Determine the actual relative importance between any two of the N profile control index factors; The actual profile control degree value of the target well group is determined based on the actual index parameter values ​​corresponding to each of the profile control index factors and the actual relative importance between every two profile control index factors. A reference profile control value is determined based on the historical profile control values ​​corresponding to M historical well groups; the historical well groups are the well groups corresponding to shallow water-drive heavy oil reservoirs, and M is a positive integer. Based on the actual profile control degree value and the reference profile control degree value, the profile control and well selection results of the target well group are determined.

2. The method as described in claim 1, characterized in that, The step of determining the actual profile control degree value of the target well group based on the actual index parameter values ​​corresponding to each of the profile control index factors and the actual relative importance between every two profile control index factors includes: Based on the actual index parameter values ​​corresponding to each of the profile adjustment index factors and the actual relative importance between every two profile adjustment index factors, a target fuzzy relationship matrix is ​​determined. Determine the target feature vector corresponding to the largest eigenvalue of the target fuzzy relation matrix; Determine the weight vector based on the target feature vector; The actual profile control degree value of the target well group is determined based on the target fuzzy relation matrix and the weight vector.

3. The method as described in claim 1, characterized in that, Determining the actual relative importance between any two of the N profile control index factors includes: Using the 1-9 scale, the actual relative importance between any two of the N profile control factors is determined.

4. The method as described in claim 1, characterized in that, The step of determining a reference profile control degree value based on the historical profile control degree values ​​corresponding to M historical well groups includes: For each of the M historical well groups, obtain the historical index parameter values ​​corresponding to the N profile control index factors in each historical well group; Determine the historical relative importance between any two of the N profile control index factors; Based on the historical index parameter values ​​corresponding to each profile control index factor in each historical well group and the historical relative importance between each pair of profile control index factors, the historical profile control degree value corresponding to each historical well group is determined. The reference profile control degree value is determined based on the historical profile control degree values ​​corresponding to the M historical well groups.

5. The method as described in claim 4, characterized in that, The step of determining the reference profile control degree value based on the historical profile control degree values ​​corresponding to the M historical well groups includes: The average value of the historical profile control degree corresponding to each of the M historical well groups is calculated, and the average value is determined as the reference profile control degree value.

6. The method as described in claim 1, characterized in that, The step of determining the profile control and well selection results for the target well group based on the actual profile control degree value and the reference profile control degree value includes: Compare the actual profile adjustment degree value with the reference profile adjustment degree value; When the actual profile control degree value is greater than or equal to the reference profile control degree value, the profile control selection result of the target well group is determined to be that no profile control is required. When the actual profile adjustment degree value is less than the reference profile adjustment degree value, the profile adjustment selection result of the target well group is determined to require profile adjustment.

7. The method as described in claim 1, characterized in that, The N profile control factors include at least one of the following: permeability, porosity, permeability coefficient of variation, water absorption profile coefficient of variation, apparent water absorption index per meter, water absorption index per meter, pressure drop curve, overall water cut of the well group, production of the well group, distribution of remaining reserves in connected oil wells, recovery degree, and crude oil viscosity.

8. A profile control and well selection device, characterized in that, The device includes: The parameter acquisition module is used to acquire the actual index parameter values ​​corresponding to N profile control index factors in the target well group; the target well group is the well group corresponding to the shallow water-drive heavy oil reservoir; N is a positive integer. The relative degree determination module is used to determine the actual relative importance between any two of the N profile adjustment index factors. The actual profile control degree determination module is used to determine the actual profile control degree value of the target well group based on the actual index parameter values ​​corresponding to each of the profile control index factors and the actual relative importance between every two profile control index factors. The reference profile control degree determination module is used to determine a reference profile control degree value based on the historical profile control degree values ​​corresponding to M historical well groups; the historical well groups are the well groups corresponding to shallow water-drive heavy oil reservoirs; M is a positive integer; The profile adjustment judgment module is used to determine the profile adjustment and well selection results of the target well group based on the actual profile adjustment degree value and the reference profile adjustment degree value.

9. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute a profile selection method as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform a profile selection method as described in any one of claims 1 to 7.

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