A method, device, equipment and medium for fine-tuning and optimizing oilfield well pattern for newly arranged wells to avoid multi-layer combined faults

Abstract

The present invention discloses a method, device, equipment, and medium for fine-tuning and optimizing an oilfield well network for avoiding multi-layer combined faults when newly deploying wells. The method comprises: obtaining fault data of a target oilfield and determining the upper and lower walls of the faults based on the fault data; determining parameters for the new well layout and generating an initial well network layout plan; constructing avoidance rules and updating the initial well network layout plan based on the avoidance rules to obtain an updated well network layout plan, wherein the avoidance rules are related to the upper and lower walls of the faults; constructing an objective function with the goals of minimizing interference with old wells and maximizing the production capacity of new wells; solving the objective function based on a differential evolution algorithm and outputting an optimal well network layout plan when preset requirements are met. The present invention belongs to the field of well network optimization. The present invention can improve oil production efficiency while ensuring the safety of the newly deployed well network.

Description

Technical Field

[0001] The present invention relates to the field of well pattern optimization, and in particular to an oilfield well pattern fine-tuning optimization method, device, equipment and medium for newly distributing wells to avoid multi-layer combined faults. Background Art

[0002] During oilfield development, rational well pattern layout is crucial for improving oil recovery and economic efficiency. However, faults, as key features of reservoir geology, can significantly impact well pattern layout. Traditional well pattern layout methods rely primarily on regular grids or empirical guidance, often overlooking the impact of faults on interwell connectivity and productivity. As oilfield development deepens, faults become increasingly obstructive to reservoir fluid flow. Improper new well placement can lead to productivity loss and interwell interference, reducing overall recovery.

[0003] Currently, existing well-pattern optimization methods primarily focus on maximizing the productivity of individual new wells or predicting overall production, lacking strategies for fine-tuning the dynamic interference between new wells and faults. Therefore, an optimization method is urgently needed that can dynamically and fine-tune the placement of new wells based on the actual location of faults and their impact range, thereby achieving overall coordinated optimization of the well pattern. Summary of the Invention

[0004] The present invention solves the technical problem of the lack of fine-tuning strategies for dynamic interference between new wells and faults in the prior art by providing a method, device, equipment and medium for fine-tuning and optimizing the oil field well network for newly deployed wells to avoid multi-layer combined faults, thereby achieving the technical effect of optimizing the overall coordination of the well network.

[0005] In a first aspect, the present invention provides a method for fine-tuning and optimizing an oilfield well pattern for newly deploying wells to avoid multi-layer combined faults, comprising:

[0006] Obtaining fault data of a target oil field and determining the hanging wall and footwall of the fault based on the fault data, wherein the target oil field includes several faults;

[0007] Determine the new well layout parameters and generate an initial well pattern layout plan, where the new well layout parameters include well distance, rectangle angle, translation distance, and rotation angle. The initial well pattern layout plan includes new wells and old wells.

[0008] Constructing avoidance rules and updating the initial well pattern layout plan according to the avoidance rules to obtain an updated well pattern layout plan, wherein the avoidance rules are related to the hanging wall and footwall of the fault;

[0009] The objective function is constructed with the goal of minimizing interference with old wells and maximizing the productivity of new wells;

[0010] Based on the differential evolution algorithm, the objective function is solved and the optimal well pattern layout solution is output when the preset requirements are met.

[0011] Furthermore, the hanging wall and footwall of each fault are determined, including:

[0012] According to the fault data, a closed graph is constructed, wherein the closed graph corresponds to the fault one by one;

[0013] For each closed figure, determine the centroid of the closed figure;

[0014] In a closed figure, determine the first farthest point farthest from the centroid of the closed figure;

[0015] In a closed figure, determine the second farthest point that is farthest from the first farthest point;

[0016] Constructing a first path and a second path along the edge line of the closed figure using the first farthest point and the second farthest point;

[0017] Determining the average depths of the first path and the second path respectively;

[0018] The larger average depth of the first path and the second path is taken as the upper wall, and the smaller average depth is taken as the lower wall.

[0019] Furthermore, avoidance rules are constructed, including:

[0020] The distance between the hanging wall and the new oil well is not less than the first preset avoidance distance;

[0021] The distance between the upper wall and the new water well is not less than the second preset avoidance distance;

[0022] The distance between the footwall and the new oil well is not less than the third preset avoidance distance;

[0023] The distance between the footwall and the new water well shall not be less than the fourth preset avoidance distance.

[0024] Furthermore, the initial well pattern layout plan is updated according to the avoidance rule to obtain an updated well pattern layout plan, including:

[0025] For new water wells and oil wells in the initial well pattern layout plan, if the distance between the upper wall and the new oil well is less than 0.5 times the first preset avoidance distance, the new oil well will be eliminated;

[0026] If the distance between the upper wall and the new water well is less than 0.5 times the second preset avoidance distance, the new water well is eliminated;

[0027] If the distance between the footwall and the new oil well is less than 0.5 times the third preset avoidance distance, the new oil well is eliminated;

[0028] If the distance between the lower wall and the new water well is less than 0.5 times the fourth preset avoidance distance, the new water well is eliminated.

[0029] Furthermore, with the goal of minimizing interference with old wells and maximizing the productivity of new wells, an objective function is constructed, including:

[0030]

[0031] in, is the objective function, is the weight coefficient, is the number of new wells, is the number of old wells, For the The production capacity forecast of new wells, For the The location of the old well is opposite to the the disruptive impact of a new well;

[0032] in,

[0033]

[0034] in, is the theoretical maximum production capacity, For the geological correction factor for new wells;

[0035]

[0036] in, For the From the new well to the The distance between the faults, To preset the safety distance threshold, is the interference intensity coefficient.

[0037] Furthermore, based on the differential evolution algorithm, the objective function is solved and the optimal well pattern layout solution is output when the preset requirements are met, including:

[0038] Encode the position coordinates of the new wells in the updated well pattern layout plan as a vector;

[0039] Generate a preset number of individuals according to the preliminary layout plan;

[0040] Determine the function value of the objective function for each individual;

[0041] Generate new individuals through mutation, crossover and selection operations based on differential evolution algorithm;

[0042] Punish or correct individuals that do not meet avoidance rules or preset interference threshold constraints;

[0043] When the preset maximum number of iterations is met or the objective function has converged, the individual with the largest function value is taken as the optimal well pattern layout scheme and output.

[0044] Furthermore, it also includes:

[0045] Dynamically adjust the influence radius of old wells based on the productivity decline information of old wells.

[0046] In a second aspect, the present invention provides an oilfield well pattern fine-tuning and optimization device for newly deploying wells to avoid multi-layer combined faults, comprising:

[0047] An acquisition module is used to acquire fault data of a target oil field and determine the hanging wall and the footwall of the fault according to the fault data, wherein the target oil field includes several faults;

[0048] The layout module is used to determine the new well layout parameters and generate an initial well pattern layout plan, where the new well layout parameters include well distance, rectangle angle, translation distance and rotation angle. The initial well pattern layout plan includes new wells and old wells.

[0049] An avoidance rule module is used to construct avoidance rules and update the initial well pattern layout plan according to the avoidance rules to obtain an updated well pattern layout plan, wherein the avoidance rules are related to the hanging wall and the footwall of the fault;

[0050] Function construction module, used to construct the objective function with the goal of minimizing interference with old wells and maximizing the productivity of new wells;

[0051] The solution output module is used to solve the objective function based on the differential evolution algorithm and output the optimal well pattern layout solution when the preset requirements are met.

[0052] In a third aspect, the present invention provides an electronic device, comprising:

[0053] processor;

[0054] a memory for storing processor-executable instructions;

[0055] The processor is configured to execute to implement a method for fine-tuning and optimizing the oilfield well pattern for newly distributing wells to avoid multi-layer combined faults as provided in the first aspect.

[0056] In a fourth aspect, the present invention provides a non-temporary computer-readable storage medium. When the instructions in the non-temporary computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute a new oilfield well network fine-tuning optimization method for avoiding multi-layer combined faults as provided in the first aspect.

[0057] One or more technical solutions provided in the present invention have at least the following technical effects or advantages:

[0058] This paper establishes, for the first time, a four-dimensional well-type-fault-plate avoidance matrix. By constructing a spatial avoidance constraint model between new wells and faults, and integrating the distinction between the upper and lower fault walls, this approach achieves coordinated optimization of the overall well pattern layout and unified integration of local avoidance requirements, effectively reducing interference from new wells on faults and improving recovery and economic benefits.

[0059] The present invention introduces a differential evolution algorithm for intelligent optimization, which improves computational efficiency by 3-5 times compared with traditional GA. The present invention supports real-time or near real-time adjustment and can quickly generate optimization solutions even in complex multi-layer oilfield environments.

[0060] The present invention achieves flexible adjustment of the avoidance strategy by designing adjustable parameters (such as weight coefficients and safety distance thresholds) to adapt to the needs of different development stages. At the same time, the objective function comprehensively optimizes the maximization of new well production capacity and the minimization of interference with old wells, ensuring the balance and efficiency of the overall solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0062] Figure 1 A schematic flow chart of a method for fine-tuning and optimizing a new well pattern in an oil field to avoid multi-layer combined faults provided by the present invention;

[0063] Figure 2 A schematic diagram of a closed figure provided by the present invention;

[0064] Figure 3 A schematic diagram of the avoidance rules provided by the present invention;

[0065] Figure 4 Schematic diagram before and after the new well is removed provided by the present invention

[0066] Figure 5 A schematic diagram of the optimization process of the optimal well pattern layout solution provided by the present invention;

[0067] Figure 6 A schematic diagram of the edge trimming and well arrangement provided by the present invention;

[0068] Figure 7 A schematic flow chart of another oilfield well pattern fine-tuning optimization method for newly deploying wells to avoid multi-layer combined faults provided by the present invention. DETAILED DESCRIPTION

[0069] The embodiment of the present invention solves the technical problem of the lack of fine-tuning strategies for dynamic interference between new wells and faults in the prior art by providing an oilfield well pattern fine-tuning optimization method for newly deployed wells avoiding multi-layer combined faults.

[0070] The technical solution of the present invention is to solve the above technical problems, and the overall idea is as follows:

[0071] A method for fine-tuning and optimizing an oilfield well pattern for avoiding multi-layer combined faults when distributing new wells comprises: obtaining fault data of a target oilfield and determining the upper and lower walls of the faults based on the fault data, wherein the target oilfield includes several faults; determining new well layout parameters and generating an initial well pattern layout plan, wherein the new well layout parameters include well distance, rectangular angle, translation distance, and rotation angle, and the initial well pattern layout plan includes new wells and old wells; constructing avoidance rules and updating the initial well pattern layout plan based on the avoidance rules to obtain an updated well pattern layout plan, wherein the avoidance rules are related to the upper and lower walls of the faults; constructing an objective function with the goal of minimizing interference with old wells and maximizing the productivity of new wells; solving the objective function based on a differential evolution algorithm and outputting an optimal well pattern layout plan when preset requirements are met.

[0072] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0073] First, the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. Furthermore, the character " / " in this document generally indicates an "or" relationship between the associated objects.

[0074] Faults in oil fields refer to the fractures and relative displacements of underground rock layers caused by crustal movement. Specifically, faults are the result of rock blocks in the Earth's crust sliding along a fracture surface. In geology, faults not only affect the distribution of underground rocks but also have a significant impact on the location, shape, and development strategies of oil and gas reservoirs. Therefore, the purpose of this invention is to rationally adjust the well pattern distribution to account for the influence of faults, thereby ensuring safety while improving production efficiency.

[0075] The present invention provides Figure 1 The method for fine-tuning and optimizing the oilfield well pattern for newly deploying wells to avoid multi-layer combined faults includes steps S11-S15:

[0076] Step S11 : acquiring fault data of a target oil field, and determining the hanging wall and the footwall of the fault according to the fault data, wherein the target oil field includes several faults.

[0077] The fault data may include fault point number, sampling coordinates, depth, etc. The target oil field is the oil field that requires well pattern arrangement.

[0078] The fault point number refers to the number of the fault location.

[0079] The sampling coordinates are the specific locations of the fault points, usually expressed as geographic coordinates (such as longitude and latitude) or X and Y values ​​in a projected coordinate system.

[0080] The depth information indicates how deep the fault point is located underground. It is usually a value measured based on the ground and can be measured in meters or feet.

[0081] It is understood that one or more faults may exist in the target oil field, and this is not a limitation of the present invention. In geology, the portion of rock that moves above the fault plane is called the hanging wall, and the portion below the fault plane is called the footwall. The cross section formed by the mutual compression of the hanging wall and footwall constitutes a closed graph. In the present invention, the closed graph is formed by enclosing the data of each fault, as shown below:

[0082] Determining the hanging wall and footwall of each fault includes: constructing a closed figure based on fault data, wherein the closed figure corresponds to the fault one-to-one; determining the centroid of each closed figure; determining a first farthest point farthest from the centroid of the closed figure in the closed figure; determining a second farthest point farthest from the first farthest point in the closed figure; constructing a first path and a second path along the edge line of the closed figure with the first farthest point and the second farthest point; respectively determining the average depth of the first path and the second path; and taking the larger value of the average depth of the first path and the second path as the hanging wall, and the smaller value as the footwall.

[0083] by Figure 2 Example: After obtaining the fault data, construct Figure 2 (d1) shows a closed figure, and then determine the center of mass of d1, find the coordinate position A of the center of mass, and assume that the two end points of the closed figure are B and C respectively.

[0084] First, find the data point B (the first farthest point) farthest from the centroid by traversing all the fault data points, and record the index number of point B. Then traverse the fault data points again to find the data point C (the second farthest point) farthest from B (the first farthest point) and its index, and finally get the indexes of the two cusps B and C. The first path and the second path are v1 and v2 respectively. The one with the higher average depth of v1 and v2 is the hanging wall, and the one with the lower average depth is the foot wall. The process is as follows Figure 2 As shown in d1-d4.

[0085] If there is overlap between faults, they are considered as one fault.

[0086] Step S12: confirm the new well layout parameters and generate an initial well pattern layout plan, wherein the new well layout parameters include well distance, rectangle angle, translation distance and rotation angle, and the initial well pattern layout plan includes new wells and old wells.

[0087] The well pattern design method selected in the present invention is the five-point method. For explanations of parameters such as well distance, rectangular angle, translation distance, and rotation angle, please refer to related patents such as CN118673643B, CN119129158B, and CN117473634B.

[0088] Construct avoidance rules, including:

[0089] The distance between the hanging wall and the new oil well is not less than the first preset avoidance distance;

[0090] The distance between the upper wall and the new water well is not less than the second preset avoidance distance;

[0091] The distance between the footwall and the new oil well is not less than the third preset avoidance distance;

[0092] The distance between the footwall and the new water well shall not be less than the fourth preset avoidance distance.

[0093] In a feasible solution provided by the present invention, the first preset avoidance distance is 40m, the second preset avoidance distance is 60m, the third preset avoidance distance is 30m, and the fourth preset avoidance distance is 50m. Figure 3 To avoid the schematic diagram of the rules, it is important to emphasize that Figure 3 、 Figure 4 as well as Figure 6 In the figure, single circles represent new oil wells and double circles represent new water wells.

[0094] Step S13: constructing avoidance rules and updating the initial well pattern layout plan according to the avoidance rules to obtain an updated well pattern layout plan, wherein the avoidance rules are related to the hanging wall and the footwall of the fault.

[0095] The initial well pattern layout plan is updated according to the avoidance rules to obtain an updated well pattern layout plan, including:

[0096] For new water wells and oil wells in the initial well pattern layout plan, if the distance between the upper wall and the new oil well is less than 0.5 times the first preset avoidance distance, the new oil well will be eliminated;

[0097] If the distance between the upper wall and the new water well is less than 0.5 times the second preset avoidance distance, the new water well is eliminated;

[0098] If the distance between the footwall and the new oil well is less than 0.5 times the third preset avoidance distance, the new oil well is eliminated;

[0099] If the distance between the lower wall and the new water well is less than 0.5 times the fourth preset avoidance distance, the new water well is eliminated.

[0100] Take the above data as an example:

[0101] If the distance between the hanging wall and the new oil well is less than 20, the new oil well is eliminated;

[0102] If the distance between the upper plate and the new well is less than 30, the new well is eliminated;

[0103] If the distance between the footwall and the new well is less than 15, the new well is eliminated;

[0104] If the distance between the footwall and the new well is less than 25, the new well is eliminated.

[0105] In order to avoid global optimization distortion, if the initial new well is too close to the fault, the new well will be directly eliminated.

[0106] If the initial new well is too close to the fault, forced optimization will cause the optimization range of subsequent wells to be reduced, resulting in global deformity, so it is directly deleted. Figure 4 The diagram on the left is the layout diagram before the new well is eliminated. Figure 4 The diagram on the right is the layout diagram after excluding the new well.

[0107] In addition, after the fault is eliminated, the wells around the fault can be arranged in two ways: oil well edging and one injection and one production. Figure 6 A schematic diagram of the edge trimming and well layout provided by the present invention.

[0108] In addition, since the fault closure graph is distinguished between the upper and lower walls, not only does it make the avoidance rules more accurate, but it also makes it easier to calculate the distance from the point to the fault. The specific constraint model is expressed mathematically as follows:

[0109] Direction vector of a line segment: The direction vector of a line segment is defined as:

[0110]

[0111] Where (x, y) are the coordinates of each breakpoint.

[0112] Vector from point to starting point of line segment: Define the vector from the starting point A of the line segment to the target point P as:

[0113]

[0114] Projection judgment: Calculate the projection length of W on V:

[0115]

[0116] in, is the dot product of two vectors; is the modulus of the direction vector; based on the range of t, the position of the nearest point is determined: if t < 0, the nearest point is the starting point A of the line segment. If t > 1, the nearest point is the end point B of the line segment. If 0 ≤ t ≤ 1, the nearest point is inside the line segment, including:

[0117]

[0118] The final calculated distance is if the nearest point is A or B, the distance is the distance from the point to the endpoint:

[0119]

[0120] If the closest point is inside the line segment , the distance is the distance from the point to the line:

[0121]

[0122] Step S14: construct an objective function with the goal of minimizing interference with old wells and maximizing productivity of new wells.

[0123] Specifically include:

[0124]

[0125] in, is the objective function, is the weight coefficient, is the number of new wells, is the number of old wells, For the The production capacity forecast of new wells, For the The location of the old well is opposite to the the disruptive impact of a new well;

[0126] in,

[0127]

[0128] in, is the theoretical maximum production capacity, For the geological correction factor for new wells;

[0129]

[0130] in, For the From the new well to the The distance between the faults, To preset the safety distance threshold, is the interference intensity coefficient.

[0131] In step S15, the objective function is solved based on the differential evolution algorithm, and when the preset requirements are met, the optimal well pattern layout solution is output.

[0132] The present invention provides Figure 5 The optimization process diagram of the optimal well pattern layout scheme shown in the figure is based on the differential evolution algorithm to solve the objective function and output the optimal well pattern layout scheme when the preset requirements are met, including:

[0133] Encode the position coordinates of the new wells in the updated well pattern layout plan as a vector;

[0134] Generate a preset number of individuals according to the preliminary layout plan;

[0135] Determine the function value of the objective function for each individual;

[0136] Generate new individuals through mutation, crossover and selection operations based on differential evolution algorithm;

[0137] Punish or correct individuals that do not meet avoidance rules or preset interference threshold constraints;

[0138] When the preset maximum number of iterations is met or the objective function has converged, the individual with the largest function value is taken as the optimal well pattern layout scheme and output.

[0139] In addition to the differential evolution algorithm, genetic algorithms such as the ant colony optimization algorithm can also achieve well pattern optimization.

[0140] Furthermore, the model adjusts the impact radius of older wells based on their productivity decline and optimizes weighting coefficients based on real-time production data. This allows for repeated fine-tuning and optimization at different stages of development to continuously improve the rationality of the well pattern layout. When the weighting coefficient approaches 1, the model favors increased productivity from new wells and tolerates significant interference from older wells. When the weighting coefficient approaches 0, the model prioritizes protecting older wells and avoiding interference.

[0141] The oilfield well pattern fine-tuning optimization method for newly arranged wells to avoid multi-layer combined faults provided by the present invention can also be referred to Figure 7 .

[0142] In summary, the present invention provides a method for fine-tuning and optimizing an oilfield well pattern for newly deployed wells to avoid multi-layer combined faults, comprising: obtaining fault data for a target oilfield and determining the upper and lower plates of the faults based on the fault data, wherein the target oilfield includes several faults; determining new well placement parameters and generating an initial well pattern layout plan, wherein the new well placement parameters include well spacing, rectangular angle, translation distance, and rotation angle, and the initial well pattern layout plan includes new and old wells; constructing avoidance rules and updating the initial well pattern layout plan based on the avoidance rules to obtain an updated well pattern layout plan, wherein the avoidance rules are related to the upper and lower plates of the faults; constructing an objective function with the goals of minimizing interference with old wells and maximizing the production capacity of new wells; solving the objective function based on a differential evolution algorithm and outputting the optimal well pattern layout plan when preset requirements are met. The present invention establishes for the first time a four-dimensional avoidance matrix for well type and fault plate type. This invention constructs a spatial avoidance constraint model between new wells and faults, and integrates the distinction between the upper and lower walls of the fault to achieve coordinated optimization of the overall well pattern layout and unified integration of local avoidance requirements, effectively reducing the interference of new wells on faults and improving recovery and economic benefits. This invention incorporates a differential evolution algorithm for intelligent optimization, achieving computational efficiency 3-5 times higher than traditional general evolutionary methods (GAs). It supports real-time or near-real-time adjustments and can rapidly generate optimized solutions even in complex, multi-layered oilfield environments. By designing adjustable parameters (such as weight coefficients and safety distance thresholds), this invention enables flexible adjustment of avoidance strategies to meet the needs of different development stages. Furthermore, the objective function comprehensively optimizes the production capacity of new wells while minimizing interference with existing wells, ensuring the balance and efficiency of the overall solution.

[0143] Based on the same inventive concept, the present invention provides an oilfield well pattern fine-tuning optimization device for newly deploying wells to avoid multi-layer combined faults, comprising:

[0144] An acquisition module is used to acquire fault data of a target oil field and determine the hanging wall and the footwall of the fault according to the fault data, wherein the target oil field includes several faults;

[0145] The layout module is used to determine the new well layout parameters and generate an initial well pattern layout plan, where the new well layout parameters include well distance, rectangle angle, translation distance and rotation angle. The initial well pattern layout plan includes new wells and old wells.

[0146] An avoidance rule module is used to construct avoidance rules and update the initial well pattern layout plan according to the avoidance rules to obtain an updated well pattern layout plan, wherein the avoidance rules are related to the hanging wall and the footwall of the fault;

[0147] Function construction module, used to construct the objective function with the goal of minimizing interference with old wells and maximizing the productivity of new wells;

[0148] The solution output module is used to solve the objective function based on the differential evolution algorithm and output the optimal well pattern layout solution when the preset requirements are met.

[0149] Based on the same inventive concept, the present invention further provides an electronic device, comprising:

[0150] processor;

[0151] a memory for storing processor-executable instructions;

[0152] The processor is configured to execute and implement the oilfield well pattern fine-tuning optimization method for newly distributing wells to avoid multi-layer combined faults as provided above.

[0153] Based on the same inventive concept, the present invention also provides a non-temporary computer-readable storage medium. When the instructions in the storage medium are executed by the processor of an electronic device, the electronic device can execute and implement a new oil field well network fine-tuning optimization method for avoiding multi-layer combined faults as provided above.

[0154] Since the electronic device described in this embodiment is an electronic device used to implement the information processing method in the embodiment of the present invention, based on the information processing method described in the embodiment of the present invention, those skilled in the art will be able to understand the specific implementation of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present invention will not be described in detail here. As long as the electronic device used by those skilled in the art to implement the information processing method in the embodiment of the present invention falls within the scope of protection of the present invention.

[0155] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0156] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts 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, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0157] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0158] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0159] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0160] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for fine-tuning and optimizing the oilfield well pattern for newly deployed wells to avoid multi-layer combined faults, characterized in that: include: Obtaining fault data of a target oil field and determining the hanging wall and the footwall of the fault based on the fault data, wherein the target oil field includes several faults; Determine the new well layout parameters and generate an initial well pattern layout plan, where the new well layout parameters include well distance, rectangle angle, translation distance, and rotation angle. The initial well pattern layout plan includes new wells and old wells. Constructing avoidance rules and updating the initial well pattern layout plan according to the avoidance rules to obtain an updated well pattern layout plan, wherein the avoidance rules are related to the hanging wall and footwall of the fault; The objective function is constructed with the goal of minimizing interference with old wells and maximizing the productivity of new wells; Solving the objective function based on a differential evolution algorithm and outputting an optimal well pattern layout solution when preset requirements are met; The hanging wall and footwall of each fault are determined, including: According to the fault data, a closed graph is constructed, wherein the closed graph corresponds to the fault one by one; For each closed figure, determine the centroid of the closed figure; In a closed figure, determine the first farthest point farthest from the centroid of the closed figure; In the closed figure, determining a second farthest point farthest from the first farthest point; Constructing a first path and a second path along the edge line of the closed figure using the first farthest point and the second farthest point; determining the average depths of the first path and the second path respectively; The larger of the average depths of the first and second paths is taken as the hanging wall, and the smaller one is taken as the foot wall; Among them, the construction of avoidance rules includes: The distance between the hanging wall and the new oil well is not less than the first preset avoidance distance; The distance between the upper wall and the new water well is not less than the second preset avoidance distance; The distance between the footwall and the new oil well is not less than the third preset avoidance distance; The distance between the footwall and the new water well shall not be less than the fourth preset avoidance distance.

2. The oilfield well pattern fine-tuning optimization method for newly distributing wells to avoid multi-layer combined faults according to claim 1, characterized in that: The initial well pattern layout plan is updated according to the avoidance rules to obtain an updated well pattern layout plan, including: For new water wells and oil wells in the initial well pattern layout plan, if the distance between the upper wall and the new oil well is less than 0.5 times the first preset avoidance distance, the new oil well will be eliminated; If the distance between the upper wall and the new water well is less than 0.5 times the second preset avoidance distance, the new water well is eliminated; If the distance between the footwall and the new oil well is less than 0.5 times the third preset avoidance distance, the new oil well is eliminated; If the distance between the lower wall and the new water well is less than 0.5 times the fourth preset avoidance distance, the new water well is eliminated.

3. The oilfield well pattern fine-tuning optimization method for newly distributing wells to avoid multi-layer combined faults according to claim 1, characterized in that: With the goal of minimizing interference with old wells and maximizing the productivity of new wells, an objective function is constructed, including: in, is the objective function, is the weight coefficient, is the number of new wells, is the number of old wells, For the The production capacity forecast of new wells, For the The location of the old well is opposite to the the disruptive impact of a new well; in, in, is the theoretical maximum production capacity, For the geological correction factor for new wells; in, For the From the new well to the The distance between the faults, To preset the safety distance threshold, is the interference intensity coefficient.

4. The oilfield well pattern fine-tuning optimization method for newly distributing wells to avoid multi-layer combined faults according to claim 1, characterized in that: Based on the differential evolution algorithm, the objective function is solved and the optimal well pattern layout solution is output when the preset requirements are met, including: Encode the position coordinates of the new wells in the updated well pattern layout plan as a vector; Generate a preset number of individuals according to the preliminary arrangement plan; Determine the function value of the objective function for each individual; Generate new individuals through mutation, crossover and selection operations based on differential evolution algorithm; Punish or correct individuals that do not meet avoidance rules or preset interference threshold constraints; When the preset maximum number of iterations is met or the objective function has converged, the individual with the largest function value is taken as the optimal well pattern layout scheme and output.

5. The oilfield well pattern fine-tuning optimization method for newly distributing wells to avoid multi-layer combined faults according to claim 1, characterized in that: Also includes: Dynamically adjust the influence radius of old wells based on the productivity decline information of old wells.

6. An oilfield well pattern fine-tuning and optimization device for newly arranged wells to avoid multi-layer combined faults, characterized in that: An oilfield well pattern fine-tuning optimization method for newly deploying wells to avoid multi-layer combined faults, as applied to any one of claims 1-5, comprises: An acquisition module is used to acquire fault data of a target oil field and determine the hanging wall and the footwall of the fault according to the fault data, wherein the target oil field includes several faults; The layout module is used to determine the layout parameters of new wells and generate an initial well pattern layout plan, where the new well layout parameters include well distance, rectangle angle, translation distance and rotation angle. The initial well pattern layout plan includes new wells and old wells. An avoidance rule module is used to construct avoidance rules and update the initial well pattern layout plan according to the avoidance rules to obtain an updated well pattern layout plan, wherein the avoidance rules are related to the hanging wall and the footwall of the fault; Function construction module, used to construct the objective function with the goal of minimizing interference with old wells and maximizing the productivity of new wells; The solution output module is used to solve the objective function based on the differential evolution algorithm and output the optimal well pattern layout solution when the preset requirements are met.

7. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute and implement a method for fine-tuning and optimizing the oilfield well pattern of newly deploying wells to avoid multi-layer combined faults according to any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium, characterized in that When the instructions in the non-transitory computer-readable storage medium are executed by the processor of the electronic device, the electronic device is enabled to implement the oilfield well pattern fine-tuning optimization method for newly deploying wells to avoid multi-layer combined faults as described in any one of claims 1 to 5.

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