Platform well fracturing scheme optimization method and device considering fault influence, storage medium and electronic equipment

Abstract

The invention relates to the technical field of fracturing, in particular to a platform well fracturing scheme optimization method and device considering fault influence, a storage medium and electronic equipment, and the method comprises the steps: constructing a three-dimensional geologic model containing a fault and a geomechanical model under the fault influence by combining basic data considering the fault; based on the three-dimensional geologic model containing the fault and the geomechanical model under the influence of the fault, performing segmented clustering analysis, fracture form optimization and fracturing fracture parameter optimization on the platform well; and performing grid division on the three-dimensional geologic model containing the fault to establish an embedded discrete fracture network model, and determining the productivity under the complex fracture network. According to the method, the influence of reservoir physical properties, rock mechanics, ground stress parameters and fracturing construction parameters on the fracturing construction effect of the platform well is considered, grid division is carried out on the three-dimensional geologic model containing the fault to establish the embedded discrete fracture network model, and the productivity under the complex fracture network is calculated; therefore, optimization of the platform well fracturing scheme near the fault in the reservoir is effectively guided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fracturing, and is a platform well fracturing scheme optimization method, device, storage medium and electronic equipment considering the influence of faults. BACKGROUND

[0002] In recent years, with the gradual increase of the proportion of tight oil in oilfield development, fracturing reconstruction is a necessary technology to improve the production of tight oil, and the development of fracturing scheme optimization has become the key to improve oil and gas production, and the factors causing the difference in productivity after fracturing of different wells are very complex, including reservoir properties, rock mechanics and geostress parameters, and fracturing construction parameters. However, it is difficult to quantitatively evaluate the main control factors affecting the post-fracturing productivity, and it is difficult to accurately and effectively guide the deployment of new wells.

[0003] In the process of implementing fracturing in the field, due to the existence of faults near the oil well, the cracks are easy to penetrate the faults, leading to fault water, causing water channeling, and further leading to a substantial reduction in post-fracturing productivity. However, when the current fracturing design scheme optimization is carried out, it is difficult to quantitatively evaluate the faults. SUMMARY

[0004] The present application provides a platform well fracturing scheme optimization method, device, storage medium and electronic equipment considering the influence of faults, which overcomes the shortcomings of the prior art and effectively solves the problem that the existing platform well fracturing scheme optimization method cannot quantitatively evaluate the faults.

[0005] One of the technical solutions of the present application is realized by the following measures: a platform well fracturing scheme optimization method considering the influence of faults, comprising: Constructing a three-dimensional geological model containing faults and a geomechanical model under the influence of faults in combination with fault-considered basic data, wherein the fault-considered basic data includes breakpoint data identified based on seismic interpretation data, logging data, and core data; Based on the three-dimensional geological model containing faults and the geomechanical model under the influence of faults, segment and cluster analysis, fracture morphology optimization, and fracturing fracture parameter optimization are performed for the platform well. Grid division is performed on the three-dimensional geological model containing faults to establish an embedded discrete fracture network model, and fracturing-related parameters are adjusted to determine the productivity under complex fracture networks.

[0006] The following is a further optimization or / and improvement of the above-mentioned technical solutions of the present application: The above-mentioned construction of a three-dimensional geological model containing faults and a geomechanical model under the influence of faults in combination with fault-considered basic data comprises: The breakpoint data identified based on the seismic interpretation data is used to construct a three-dimensional fault model of the work area where the platform well is located, and a geological attribute model of the work area where the platform well is located is established based on the logging data and core data, which is combined with the three-dimensional fault model to obtain a three-dimensional geological model containing faults; The pore pressure modeling is performed according to the logging data and the core data, the boundary conditions are set, the simulation calculation and result analysis are performed by calling the geomechanics finite element simulator, and the geomechanics model of the work area where the platform well is located under the influence of the fault is constructed by combining the analysis results.

[0007] Based on the three-dimensional geological model containing faults and the geomechanics model under the influence of the fault, the platform well is subjected to segmented cluster analysis, fracture morphology optimization and fracturing fracture parameter optimization, including: Based on the three-dimensional geological model containing faults, the first parameter set and the second parameter set are used to identify geological sweet spots and engineering sweet spots, respectively, and the segmented cluster analysis is performed in combination with cluster analysis, wherein the first parameter set includes physical parameters such as porosity, permeability and oil saturation, and the second parameter set includes parameters such as brittleness index, pressure coefficient and fault influence; Based on the geomechanics model under the influence of the fault, a reservoir model is established, and the fracture morphology is simulated and optimized in the reservoir model; Based on the platform well trajectory, the perforation parameters and the three-dimensional geological model containing faults, a hydraulic fracturing model is established, a target function is determined and the fracturing fracture parameters are determined based on the hydraulic fracturing model, wherein the fracturing fracture parameters include well spacing, fracture spacing, fracture half-length and fracture conductivity, and the target function is the cumulative oil production within m years.

[0008] The adjustment of the fracturing related parameters includes adjusting the zipper mode, pump injection displacement, liquid scale and proppant addition.

[0009] The second technical solution of the present application is realized by the following measures: a platform well fracturing scheme optimization device considering the influence of faults, comprising: A model construction unit is used to construct a three-dimensional geological model containing faults and a geomechanics model under the influence of faults in combination with basic data considering faults, wherein the basic data considering faults includes breakpoint data identified based on seismic interpretation data, logging data and core data; A first optimization unit is used to perform segmented cluster analysis, fracture morphology optimization and fracturing fracture parameter optimization for the platform well based on the three-dimensional geological model containing faults and the geomechanics model under the influence of faults; A second optimization unit is used to perform grid division on the three-dimensional geological model containing faults to establish an embedded discrete fracture network model, adjust the fracturing related parameters, and determine the productivity under the complex fracture network.

[0010] The following is a further optimization or / and improvement of the above-mentioned technical solution of the application: The aforementioned model building units include: The first construction module constructs a three-dimensional fault model of the work area where the platform well is located based on the breakpoint data identified by seismic interpretation data, and establishes a geological attribute model of the work area where the platform well is located based on well logging data and core data. It combines the model with the three-dimensional fault model to obtain a three-dimensional geological model containing faults. The second construction module performs pore pressure modeling based on well logging data and core data, sets boundary conditions, calls a geomechanical finite element simulator for simulation calculation and result analysis, and constructs a geomechanical model of the work area where the platform well is located under the influence of faults based on the analysis results.

[0011] The aforementioned first optimization unit includes: The first analysis module identifies geological sweet spots and engineering sweet spots based on a three-dimensional geological model containing faults using a first parameter set and a second parameter set, respectively. It then performs segmentation and clustering based on cluster analysis. The first parameter set includes physical property parameters such as porosity and permeability, as well as oil and gas properties such as oil saturation. The second parameter set includes brittleness index, pressure coefficient, and fault influence. The second analysis module establishes a reservoir model based on the geomechanical model under the influence of faults, and simulates and optimizes fracture morphology in the reservoir model. The third analysis module establishes a hydraulic fracturing model based on the platform well trajectory, perforation parameters, and a three-dimensional geological model including faults. It determines the objective function and fracturing fracture parameters based on the hydraulic fracturing model. The fracturing fracture parameters include well spacing, fracture spacing, fracture half-length, and fracture conductivity. The objective function is the cumulative oil production within m years.

[0012] This invention constructs a three-dimensional geological model including faults and a geomechanical model under the influence of faults, designs segmented and clustered schemes, optimizes fracture morphology, and optimizes fracturing parameters. It not only considers the influence of reservoir properties, rock mechanics and geostress parameters, and fracturing construction parameters on the fracturing effect of platform wells, but also establishes an embedded discrete fracture network model by meshing the three-dimensional geological model including faults. By adjusting fracturing optimization schemes such as zipper method, pump discharge rate, fluid scale and proppant dosage, the production capacity under complex fracture network is calculated, thereby effectively guiding the optimization of fracturing schemes for platform wells near reservoir faults. Attached Figure Description

[0013] Appendix Figure 1 This is a schematic diagram of the optimized method flow of the present invention.

[0014] Appendix Figure 2 This is a schematic diagram of the model construction method in this invention.

[0015] Appendix Figure 3 This is a schematic diagram of a portion of the optimization method in this invention.

[0016] Appendix Figure 4 This is a three-dimensional geological model diagram containing faults in Embodiment 3 of the present invention.

[0017] Appendix Figure 5 This is a geomechanical model under the influence of faults in Embodiment 3 of the present invention.

[0018] Appendix Figure 6 This is a segmentation and clustering result diagram from Embodiment 3 of the present invention.

[0019] Appendix Figure 7 This is a result of fracture propagation in a horizontal well according to Embodiment 3 of the present invention.

[0020] Appendix Figure 8 This is a schematic diagram of the device structure of the present invention. Detailed Implementation

[0021] The present invention is not limited to the following embodiments, and the specific implementation can be determined according to the technical solution of the present invention and the actual situation.

[0022] The present invention will be further described below with reference to embodiments and accompanying drawings: Example 1: As shown in the attached document Figure 1 As shown in the figure, an embodiment of the present invention discloses an optimization method for platform well fracturing schemes that considers the influence of faults, including: Step S110: Construct a three-dimensional geological model containing faults and a geomechanical model under the influence of faults by combining the basic data considering faults. The basic data considering faults includes fault data identified based on seismic interpretation data, well logging data, and core data. Step S120: Based on the three-dimensional geological model including faults and the geomechanical model under the influence of faults, segmented cluster analysis, fracture morphology optimization, and fracturing fracture parameter optimization are performed on the platform well. Step S130: Mesh the three-dimensional geological model containing faults to establish an embedded discrete fracture network model, adjust the relevant fracturing parameters, and determine the production capacity under the complex fracture network.

[0023] This invention discloses an optimization method for platform well fracturing schemes that considers the impact of faults. Addressing the issue that the presence of faults near platform wells can lead to fractures penetrating the fault, drawing out fault water, causing water channeling, and consequently significantly reducing post-fracturing productivity, this invention constructs a three-dimensional geological model and a geomechanical model incorporating the fault. This allows for the optimization and adjustment of segmentation and clustering schemes, well spacing, fracturing parameters, and related fracturing parameters, thereby optimizing the platform well fracturing scheme. This effectively guides the optimization of fracturing schemes for platform wells near reservoir faults, reducing the impact of faults on the fault itself.

[0024] Example 2: This embodiment of the invention discloses an optimization method for platform well fracturing schemes considering the influence of faults, including: Step S210: Construct a three-dimensional geological model containing faults and a geomechanical model under the influence of faults by combining the basic data considering faults. The basic data considering faults includes fault data identified based on seismic interpretation data, well logging data, and core data. As attached Figure 2 As shown, the above steps specifically include: Step S211: Construct a three-dimensional fault model of the work area where the platform well is located based on the breakpoint data identified by the seismic interpretation data, and establish a geological attribute model of the work area where the platform well is located based on the well logging data and core data. Combine the model with the three-dimensional fault model to obtain a three-dimensional geological model containing faults. In this embodiment, a three-dimensional fault model of the work area where the platform well is located can be constructed on the Petrel software platform based on the breakpoint data identified by seismic interpretation data. Based on well logging data and core data, a geological attribute model of the work area where the platform well is located can be established on the Petrel software platform, including a permeability model, a porosity model, and an oil saturation model.

[0025] Step S212: Based on well logging data and core data, pore pressure modeling is performed, boundary conditions are set, and a geomechanical finite element simulator is called to perform simulation calculations and result analysis. Combined with the analysis results, a geomechanical model of the work area where the platform well is located under the influence of faults is constructed.

[0026] In this embodiment, one-dimensional geomechanical parameters are obtained based on well logging data and core data, and then a geomechanical parameter attribute body is established and pore pressure modeling is performed. Boundary conditions are set (based on actual needs), and the geomechanical finite element simulator Visage is called to perform simulation calculations and result analysis. After the calculation is completed, the results are imported into the Petrel software platform to generate a geomechanical model of the work area where the platform well is located under the influence of faults.

[0027] Step S220: Based on the three-dimensional geological model including faults and the geomechanical model under the influence of faults, segmented cluster analysis, fracture morphology optimization, and fracturing fracture parameter optimization are performed on the platform well. As attached Figure 3 As shown, the above steps specifically include: Step S221: Based on the three-dimensional geological model containing faults, the geological sweet spots and engineering sweet spots are identified using the first parameter set and the second parameter set respectively, and segmented and clustered by combining cluster analysis. The first parameter set includes physical property parameters such as porosity and permeability and oil and gas properties such as oil saturation. The second parameter set includes brittleness index, pressure coefficient and fault influence. On the basis of the three-dimensional geological model containing faults, the physical parameters of porosity and permeability and the oil-bearing parameters of oil saturation are comprehensively considered, and the quality score is obtained based on the weighted summation of each parameter to identify the geological sweet spot.

[0028] On the basis of the three-dimensional geological model containing faults, the engineering sweet spot is identified based on the identified geological sweet spot according to the brittleness index, pressure coefficient and fault influence.

[0029] After the geological sweet spot and the engineering sweet spot are identified, based on the field segmentation and clustering scheme of platform wells, the reservoir characteristics, geomechanical characteristics, mechanical specific energy parameters and the influence of multi-cluster fracture stress interference are comprehensively considered, and a segmentation and clustering design method is established by using a clustering method.

[0030] Step S222, based on the geomechanical model under the influence of faults, a reservoir model is established, and the fracture morphology is simulated and optimized in the reservoir model. In this embodiment, the geomechanical model under the influence of faults is based on the known technology, and after the reservoir model is established, the single well layer data is corrected, and the pump injection program of the field construction is input after correction, and the design example is simulated to simulate the hydraulic fracture propagation and proppant migration in the reservoir.

[0031] Step S223, based on the platform well trajectory, perforation parameters and three-dimensional geological model containing faults, a hydraulic fracturing model is established, a target function is determined and the hydraulic fracturing model is fractured based on the fracture parameters, wherein the fracture parameters include well spacing, fracture spacing, fracture half-length, fracture conductivity, and the target function is the cumulative oil production in m years.

[0032] In this embodiment, the three-dimensional geological model containing faults can be imported into the CMG numerical simulation software, the well trajectory and perforation parameters are imported into the CMG numerical simulation software, and the hydraulic fracturing model is established. The target function is determined, the sensitivity analysis and history matching operation of the hydraulic fracturing model are performed, and the well spacing (grid), fracture spacing, fracture half-length and fracture conductivity are optimized.

[0033] Step S230, the three-dimensional geological model containing faults is meshed to establish an embedded discrete fracture network model, the fracturing related parameters are adjusted, and the capacity under the complex fracture network is determined.

[0034] In this embodiment, the adjustment of the fracturing related parameters is to adjust the zipper mode, pump injection displacement, liquid scale and proppant addition, etc.

[0035] This invention constructs a three-dimensional geological model including faults and a geomechanical model under the influence of faults, designs segmented and clustered schemes, optimizes fracture morphology, and optimizes fracturing parameters. It not only considers the influence of reservoir properties, rock mechanics and geostress parameters, and fracturing construction parameters on the fracturing effect of platform wells, but also establishes an embedded discrete fracture network model by meshing the three-dimensional geological model including faults. By adjusting fracturing optimization schemes such as zipper method, pump injection rate, fluid scale, and proppant dosage, the production capacity under complex fracture networks is calculated, thereby effectively guiding the optimization of fracturing schemes for platform wells near reservoir faults.

[0036] Example 3: This embodiment of the invention describes an optimization method for platform well fracturing schemes that considers the influence of faults, using the zipper-style fracturing development of four wells on the Da13 well area. Specifically, it includes: (1) A three-dimensional fault model was constructed on the Petrel software platform based on the breakpoint data identified by seismic interpretation data. Specifically, based on the corner grid, 20 small-layer interfaces covering the interior of the box in the vertical direction were established, totaling 90 layers. The seismic interpretation horizon was used as the trend control, combined with well point layer correction. The three-dimensional geological model had a planar grid accuracy of 50m×50m and a vertical grid accuracy of 0.5m. The resulting three-dimensional fault model is shown in the attached figure. Figure 4 As shown; based on existing well logging interpretation results, well logging data were collected, organized, and loaded. A geological attribute model of the work area where the platform well is located was established in the Petrel software platform, including: permeability model, porosity model, and oil saturation model, thus improving the three-dimensional geological model of the reservoir in the work area, as shown in the attached figure. Figure 5 As shown.

[0037] (2) Based on the three-dimensional geological model established in step (1), considering the physical properties including porosity and permeability, and the oil and gas saturation, the quality score is obtained by weighted summation of each parameter to identify geological sweet spots. Then, the engineering sweet spots are identified based on the brittleness index, pressure coefficient, and fault influence. Based on the segmented clustering scheme of the platform wells, considering the reservoir characteristics, geomechanical characteristics, mechanical specific energy parameters, and the influence of stress interference from multiple cluster fractures, a clustering method is adopted to establish a segmented clustering design method. The segmented clustering scheme of the four-well platform is designed, as shown in the appendix. Figure 6 As shown. Well DaHW1506 has a total of 29 fractured sections, with 26 fractured sections in total. Each section has 3 perforation clusters, a section length of 45m to 50m, a cluster length of 1m, and 6 perforations / m. Wells DaHW1508 and DaHW1509 each have 19 fractured sections, each with 3 perforation clusters, a section length of 70m to 75m, a cluster length of 1m, and 6 perforations / m. Two fracturing fluid systems were used: a low-viscosity fracturing fluid without preparation and a continuously mixed guar gum fracturing fluid. The proppant used was 40 / 70 mesh quartz sand and 30 / 50 mesh ceramsite.

[0038] (3) Based on the three-dimensional geological model in step (1), a reservoir model is established, and single-well layered data is used for correction. The pumping program for on-site construction is input, a calculation example is designed, and the hydraulic fracture propagation and proppant migration in the reservoir are simulated to realize the simulation and optimization of fracture morphology in the reservoir model, as shown in the appendix. Figure 7 As shown in the figure, the calculated fracture length of the four-well platform ranges from 23.48m to 383.12m, the width ranges from 0.4mm to 16.24mm, and the height ranges from 7.53m to 60.39m.

[0039] (4) Import the three-dimensional geological model from step (1) into CMG, import the well trajectory and perforation parameters into CMG, and establish a hydraulic fracturing model. Perform sensitivity analysis and history fitting on the model, and use the cumulative oil production over fifteen years as the objective function to optimize parameters such as well spacing (grid), fracture spacing, fracture half-length, and fracture conductivity.

[0040] (5) The three-dimensional geological model in step (1) is divided into meshes to establish an embedded discrete fracture network model. By adjusting the fracturing optimization schemes such as zipper method, pump discharge rate, liquid scale and proppant addition, the production capacity under complex fracture network is calculated.

[0041] Example 4: As shown in the appendix Figure 8 As shown, this embodiment of the invention discloses an optimization device for platform well fracturing schemes that considers the influence of faults, comprising: The model building unit combines basic data considering faults to construct a three-dimensional geological model containing faults and a geomechanical model under the influence of faults. The basic data considering faults includes fault data identified based on seismic interpretation data, well logging data, and core data. The first optimization unit, based on a three-dimensional geological model including faults and a geomechanical model under the influence of faults, performs segmented cluster analysis, fracture morphology optimization, and fracturing fracture parameter optimization for platform wells. The second optimization unit performs mesh generation on the three-dimensional geological model containing faults to establish an embedded discrete fracture network model, adjusts the relevant fracturing parameters, and determines the production capacity under complex fracture networks.

[0042] The model building unit includes: The first construction module constructs a three-dimensional fault model of the work area where the platform well is located based on the breakpoint data identified by seismic interpretation data, and establishes a geological attribute model of the work area where the platform well is located based on well logging data and core data. It combines the model with the three-dimensional fault model to obtain a three-dimensional geological model containing faults. The second construction module performs pore pressure modeling based on well logging data and core data, sets boundary conditions, calls a geomechanical finite element simulator for simulation calculation and result analysis, and constructs a geomechanical model of the work area where the platform well is located under the influence of faults based on the analysis results.

[0043] The first optimization unit comprises: The first analysis module identifies geological sweet spots and engineering sweet spots based on the three-dimensional geological model containing faults by using a first parameter set and a second parameter set, respectively, and performs segmentation and clustering in combination with cluster analysis, wherein the first parameter set comprises physical parameters such as porosity and permeability and oil-gas-bearing parameters such as oil saturation, and the second parameter set comprises parameters such as brittleness index, pressure coefficient and fault influence; The second analysis module establishes a reservoir model based on the geomechanical model under the influence of faults, and simulates and optimizes the fracture morphology in the reservoir model; The third analysis module establishes a hydraulic fracturing model based on the platform well trajectory, perforation parameters and the three-dimensional geological model containing faults, determines an objective function and determines fracturing fracture parameters based on the hydraulic fracturing model, wherein the fracturing fracture parameters include well spacing, fracture spacing, fracture half-length and fracture conductivity, and the objective function is the cumulative oil production within m years.

[0044] Embodiment 5: The embodiment of the present application discloses a storage medium, wherein the storage medium stores a computer program readable by a computer, and the computer program is set to execute a platform well fracturing scheme optimization method considering the influence of faults when running.

[0045] The storage medium can include but is not limited to a U disk, a read-only memory, a mobile hard disk, a magnetic disk or an optical disk and various storage media that can store computer programs.

[0046] Embodiment 6: The embodiment of the present application discloses an electronic device comprising a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to realize a platform well fracturing scheme optimization method considering the influence of faults.

[0047] The processor can be a central processing unit CPU, a general-purpose processor, a digital signal processor DSP, an ASIC, an FPGA or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can realize or execute various exemplary logical blocks, modules and circuits described in combination with the disclosure content of the present application. It can also be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, etc. The memory can include but is not limited to a U disk, a read-only memory, a mobile hard disk, a magnetic disk or an optical disk and various storage media that can store computer programs.

[0048] Those skilled in the art will appreciate that embodiments of the application can be readily used as a method, a system or a computer program product. Accordingly, the application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer-readable program code. Embodiments of the application are not described with reference to any particular programming language. It will be appreciated that a variety of programming languages can be used to implement the teachings of the application as described herein.

[0049] The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks. Figure 1 The flowchart and / or block diagram in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each flowchart block and / or block in the Figures can represent a module, segment, or portion of code, which comprises one or more executable Figure 1 The flowchart and / or block diagram in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each flowchart block and / or block in the Figures can represent a module, segment, or portion of code, which comprises one or more executable The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions specified in the flowchart block or blocks.

[0050] The flowchart and / or block diagram in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each flowchart block and / or block in the Figures can represent a module, segment, or portion of code, which comprises one or more executable Figure 1 The flowchart and / or block diagram in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each flowchart block and / or block in the Figures can represent a module, segment, or portion of code, which comprises one or more executable Figure 1 Figure 1 The flowchart and / or block diagram in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each flowchart block and / or block in the Figures can represent a module, segment, or portion of code, which comprises one or more executable The flowchart and / or block diagram in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each flowchart block and / or block in the Figures can represent a module, segment, or portion of code, which comprises one or more executable

[0051] The above technical features constitute the best mode of the present application, which has strong adaptability and best implementation effect. Unnecessary technical features can be added or removed according to actual needs to meet the needs of different situations.

Claims

1. A platform well fracturing scheme optimization method considering fault influence, characterized in that, include: A three-dimensional geological model and a geomechanical model under the influence of faults are constructed by combining basic data considering faults. The basic data considering faults includes fault data, well logging data, and core data identified based on seismic interpretation data. Based on a three-dimensional geological model including faults and a geomechanical model under the influence of faults, segmented cluster analysis, fracture morphology optimization, and fracturing fracture parameter optimization are performed on platform wells. An embedded discrete fracture network model is established by meshing a three-dimensional geological model containing faults, adjusting relevant fracturing parameters, and determining the production capacity under complex fracture networks.

2. The method for optimizing a platform well fracturing plan considering fault impact according to claim 1, wherein, The construction of a three-dimensional geological model incorporating faults and a geomechanical model under the influence of faults, based on fundamental data considering faults, includes: A three-dimensional fault model of the work area where the platform well is located is constructed based on the breakpoint data identified by seismic interpretation data. A geological attribute model of the work area where the platform well is located is established based on well logging data and core data. The model is then combined with the three-dimensional fault model to obtain a three-dimensional geological model containing faults. Pore ​​pressure modeling was performed based on well logging and core data. Boundary conditions were set, and a geomechanical finite element simulator was used for simulation calculations and result analysis. Based on the analysis results, a geomechanical model of the work area where the platform well is located under the influence of faults was constructed.

3. The method for optimizing a platform well fracturing plan considering fault impact according to claim 1 or 2, characterized in that, The aforementioned three-dimensional geological model including faults and geomechanical model under fault influence are used to perform segmented cluster analysis, fracture morphology optimization, and fracturing fracture parameter optimization for platform wells, including: Based on a three-dimensional geological model containing faults, geological sweet spots and engineering sweet spots are identified using a first set of parameters and a second set of parameters, respectively. Cluster analysis is then used to segment and cluster these sweet spots. The first set of parameters includes physical properties such as porosity and permeability, as well as oil and gas properties such as oil saturation. The second set of parameters includes brittleness index, pressure coefficient, and fault influence. A reservoir model is established based on a geomechanical model under the influence of faults, and the fracture morphology is simulated and optimized in the reservoir model. A hydraulic fracturing model was established based on the platform well trajectory, perforation parameters, and a three-dimensional geological model including faults. The objective function was determined, and the fracturing parameters were constructed based on the hydraulic fracturing model. The fracturing parameters include well spacing, fracture spacing, fracture half-length, and fracture conductivity. The objective function is the cumulative oil production within m years.

4. The method for optimizing a platform well fracturing plan considering fault impact according to any one of claims 1 to 3, characterized in that, The adjustment of fracturing-related parameters includes adjusting the chain method, pump flow rate, fluid volume, and proppant dosage.

5. A platform well fracturing plan optimization device considering fault effect using the method according to any one of claims 1 to 4, characterized in that, include: The model building unit combines basic data considering faults to construct a three-dimensional geological model containing faults and a geomechanical model under the influence of faults. The basic data considering faults includes fault data identified based on seismic interpretation data, well logging data, and core data. The first optimization unit, based on a three-dimensional geological model including faults and a geomechanical model under the influence of faults, performs segmented cluster analysis, fracture morphology optimization, and fracturing fracture parameter optimization for platform wells. The second optimization unit performs mesh generation on the three-dimensional geological model containing faults to establish an embedded discrete fracture network model, adjusts the relevant fracturing parameters, and determines the production capacity under complex fracture networks.

6. The fault-considered platform well fracturing plan optimization apparatus of claim 5, wherein, The model building unit includes: The first construction module constructs a three-dimensional fault model of a work area where the platform well is located based on breakpoint data identified based on seismic interpretation data, and establishes a geological attribute model of the work area where the platform well is located based on logging data and core data, combines the three-dimensional fault model to obtain a three-dimensional geological model containing faults; The second construction module performs pore pressure modeling based on logging data and core data, sets boundary conditions, calls a geomechanics finite element simulator to perform simulation operation and result analysis, and constructs a geomechanics model of the work area where the platform well is located under the influence of faults based on the analysis result.

7. The fault-considered pad well fracturing plan optimization apparatus according to claim 5 or 6, characterized in that, The first optimization unit comprises: The first analysis module identifies geological sweet spots and engineering sweet spots based on the three-dimensional geological model containing faults by using a first parameter set and a second parameter set, respectively, and performs segmentation and clustering based on cluster analysis, wherein the first parameter set comprises physical parameters such as porosity and permeability and oil-bearing parameters such as oil saturation, and the second parameter set comprises parameters such as brittleness index, pressure coefficient and fault influence; The second analysis module establishes a reservoir model based on the geomechanics model under the influence of faults, and simulates and optimizes the fracture morphology in the reservoir model; The third analysis module establishes a hydraulic fracturing model based on the platform well trajectory, perforation parameters and the three-dimensional geological model containing faults, determines an objective function and optimizes fracturing fracture parameters based on the hydraulic fracturing model, wherein the fracturing fracture parameters include well spacing, fracture spacing, fracture half-length and fracture conductivity, and the objective function is the cumulative oil production within m years.

8. A storage medium, characterized by The storage medium stores a computer program readable by a computer, and the computer program is configured to execute the platform well fracturing scheme optimization method considering the influence of faults when running.

9. An electronic device, comprising: The computer program is loaded and executed by the processor to realize the platform well fracturing scheme optimization method considering the influence of faults.

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