Multi-branch radial well fluctuation injection displacement method and device

Abstract

The invention relates to the technical field of oil reservoir development, and particularly discloses a multi-branch radial well fluctuation injection displacement method and device.The method comprises the steps that reservoir physical property data, injection-production well pattern data and production dynamic characteristic data of a target oil reservoir are obtained; according to the reservoir physical property data, the injection-production well pattern data and the production dynamic characteristic data of the target oil reservoir, determining multi-branch radial well pattern structure data for performing multi-branch radial well transformation on an injection well in an injection-production well pattern; determining fluctuation injection parameters for injection of the transformed multi-branch radial well pattern by using the production dynamic characteristic data; and on the basis of the multi-branch radial well pattern structure data and the fluctuation injection parameters, an injection displacement scheme of the target oil reservoir is generated. According to the scheme, the sweep range of injected fluid can be expanded, the multi-branch radial well provides multiple injection points, the elastic wave strength and range during fluctuation injection can be enhanced, the utilization degree of remaining oil in an oil reservoir is improved, and the recovery efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil reservoir development, and in particular to a multi-branch radial well wave injection displacement method and device. Background Art

[0002] With the continuous development of oil reservoirs, the development of oil reservoirs faces many challenges, such as high water content, scattered distribution of remaining oil, and increased costs. At present, conventional displacement technology has problems such as severe fingering, small swept volume, and a sharp drop in oil production after water and gas are seen in oil reservoir exploitation, resulting in poor development results.

[0003] Currently, no effective solution has been proposed to the above problems. Summary of the invention

[0004] The embodiments of this specification provide a multi-branch radial well wave injection displacement method and device to solve the problems of severe fingering, small swept volume, and sudden drop in oil production after water and gas are encountered in conventional displacement technology in the prior art during oil reservoir exploitation.

[0005] The embodiment of this specification provides a multi-branch radial well wave injection displacement method, comprising:

[0006] Obtain reservoir physical property data, injection and production well pattern data, and production dynamic characteristic data of the target oil reservoir;

[0007] Determine the multi-branch radial well pattern structure data for performing multi-branch radial well transformation on the injection wells in the injection-production well pattern according to the reservoir physical property data, the injection-production well pattern data and the production dynamic characteristic data of the target oil reservoir;

[0008] Determining the fluctuating injection parameters for injecting into the transformed multi-branch radial well pattern using the production dynamic characteristic data;

[0009] An injection displacement scheme for the target oil reservoir is generated based on the multi-branch radial well pattern structure data and the fluctuation injection parameters.

[0010] In one embodiment, according to the reservoir physical property data, injection-production well pattern data and production dynamic characteristic data of the target oil reservoir, the multi-branch radial well pattern structure data for performing multi-branch radial well transformation on the injection wells in the injection-production well pattern is determined, including:

[0011] Determining the position and direction of radial well branches according to reservoir physical property data of the target oil reservoir;

[0012] Based on the injection and production well pattern data of the target oil reservoir, determining the radial well transformation area and the length of the radial well branch;

[0013] Determine the number of radial well branches by using the injection-production well pattern data and the production dynamic characteristic data;

[0014] Multi-branch radial well pattern structure data is generated based on the radial well transformation area, the position and direction of the radial well branches, the length of the radial well branches and the number of the radial well branches.

[0015] In one embodiment, the reservoir physical property data of the target oil reservoir includes: oil saturation distribution data, fracture distribution data and porosity permeability distribution data;

[0016] Accordingly, according to the reservoir physical property data of the target oil reservoir, the position and direction of the radial well branch are determined, including:

[0017] Determine the sweet spot position and the secondary sweet spot position of the target reservoir according to the oil saturation distribution data; determine the first position range of the radial well branch based on the sweet spot position and the secondary sweet spot position;

[0018] When the fracture distribution data indicates that there are natural fractures or hydraulic fractures in the reservoir of the target oil reservoir, the direction of the radial well is set to be parallel to the fracture direction of the natural fracture or the hydraulic fracture, and the second position range of the radial well branch is determined according to the position of the natural fracture or the hydraulic fracture;

[0019] The radial well branches are arranged to pass through high porosity and high permeability areas according to the porosity and permeability distribution data.

[0020] In one embodiment, the injection-production well pattern data includes: injection-production well pattern layout, injection-production well pattern spacing, and injection-production well types;

[0021] Accordingly, based on the injection and production well pattern data of the target oil reservoir, determining the radial well transformation area and the length of the radial well branch includes:

[0022] In the case where the injection-production well type is a vertical well, determining to perform multi-branch radial well transformation on the injection well;

[0023] Determine the area where the injection and production well network is symmetrically distributed according to the injection and production well network layout, and use the area where the injection and production well network is symmetrically distributed as the radial well transformation area;

[0024] The branch length range of the radial well branches is determined based on the injection and production well pattern spacing.

[0025] In one embodiment, the injection-production well pattern data includes the production-injection well ratio; the production dynamic characteristic data includes the water content of the production well;

[0026] Accordingly, using the injection-production well pattern data and the production dynamic characteristic data to determine the number of radial well branches includes:

[0027] Determine twice the production-injection well ratio as the maximum value of the radial well branch;

[0028] When the water content of the production well is greater than a preset water content, the number of branch wells in the multi-branch radial well pattern structure is increased.

[0029] In one embodiment, the production dynamic characteristic data includes: initial injection mode, initial production mode;

[0030] Accordingly, the production dynamic characteristic data is used to determine the fluctuating injection parameters for injecting into the transformed multi-branch radial well pattern, including:

[0031] In the case where the initial injection mode is a constant flow injection mode, the injection mode for the modified multi-branch radial well pattern is determined to be a fluctuating flow injection mode;

[0032] In the case where the initial injection method is a constant pressure injection method, the injection method for the modified multi-branch radial well pattern is determined to be a fluctuating pressure injection method;

[0033] The initial production mode is determined as the production mode of the modified multi-branch radial well network.

[0034] In one embodiment, the production dynamic characteristic data includes: pumping displacement change data or pumping pressure change data;

[0035] Accordingly, the production dynamic characteristic data is used to determine the fluctuating injection parameters for injecting into the transformed multi-branch radial well pattern, including:

[0036] In the case where the injection method for the modified multi-branch radial well network is fluctuating flow injection, the maximum pumping frequency is determined according to the pumping pressure change data; in the case where the injection method for the modified multi-branch radial well network is fluctuating pressure injection, the maximum pumping frequency is determined according to the pumping displacement change data;

[0037] Determine a target pumping frequency for injection into the modified multi-branch radial well pattern by performing a core wave injection experiment on the reservoir of the target oil reservoir, wherein the target pumping frequency is less than or equal to the maximum pumping frequency;

[0038] The target pumping frequency is used to construct a reservoir numerical model to determine the fluctuation injection amplitude and the fluctuation injection time.

[0039] In one embodiment, the method further comprises:

[0040] During the wave injection displacement process, obtain the injection and production well pressure data and fluid flow change data;

[0041] The fluctuation injection parameters are adjusted according to the injection-production well pressure data and the fluid flow change data.

[0042] The embodiment of this specification also provides a multi-branch radial well wave injection displacement device, comprising:

[0043] An acquisition module is used to obtain reservoir physical property data, injection and production well pattern data and production dynamic characteristic data of the target oil reservoir;

[0044] The first determination module is used to determine the multi-branch radial well pattern structure data for performing multi-branch radial well transformation on the injection wells in the injection-production well pattern according to the reservoir physical property data, the injection-production well pattern data and the production dynamic characteristic data of the target oil reservoir;

[0045] A second determination module is used to determine the fluctuation injection parameters for injecting into the transformed multi-branch radial well pattern using the production dynamic characteristic data;

[0046] A generation module is used to generate an injection displacement scheme for the target oil reservoir based on the multi-branch radial well pattern structure data and the fluctuation injection parameters.

[0047] The embodiments of the present specification also provide a computer device, including a processor and a memory for storing processor executable instructions, wherein when the processor executes the instructions, the steps of the multi-branch radial well wave injection displacement method described in any of the above embodiments are implemented.

[0048] The embodiments of the present specification also provide a computer-readable storage medium on which computer instructions are stored. When the instructions are executed, the steps of the multi-branch radial well wave injection displacement method described in any of the above embodiments are implemented.

[0049] In the embodiments of this specification, a wave injection displacement method based on multi-branch radial wells is provided. According to the reservoir physical property data, injection and production well network data and production dynamic characteristic data of the target oil reservoir, the multi-branch radial well network structure data for the multi-branch radial well transformation of the injection wells in the injection and production well network and the wave injection parameters for the transformation of the multi-branch radial well network are determined, and then the injection displacement scheme of the target oil reservoir is generated to provide reference and guidance for the multi-branch radial well wave injection drive of the target oil reservoir. By transforming the injection wells into multi-branch radial wells and performing wave injection on the fluid, the swept range of the injected fluid can be expanded, the branch wells provide multiple injection points, the elastic wave intensity and range during wave injection are enhanced, and the degree of utilization of the remaining oil in the oil reservoir is improved, so as to solve the problems of low recovery rate, insufficient swept volume, rapid water breakthrough, and early gas breakthrough in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings described herein are used to provide a further understanding of this specification, constitute a part of this specification, and do not constitute a limitation of this specification. In the drawings:

[0051] Figure 1 A flow chart showing a multi-branch radial well wave injection displacement method according to an embodiment of the present specification is shown;

[0052] Figure 2 A schematic diagram of a multi-branch radial wellbore in an embodiment of the present specification is shown;

[0053] Figure 3 shows a schematic diagram of wave field superposition at different interval distances;

[0054] Figure 4 shows a schematic diagram of oil production curves under different injection displacement methods;

[0055] Figure 5 It shows a schematic diagram of the structure of a multi-branch radial well wave injection displacement device in an embodiment of the present specification;

[0056] Figure 6 A schematic diagram of a computer device in an embodiment of the present specification is shown. DETAILED DESCRIPTION

[0057] The principles and spirit of this specification will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement this specification, and are not intended to limit the scope of this specification in any way. On the contrary, these embodiments are provided to make this specification more thorough and complete, and to fully convey the scope of this disclosure to those skilled in the art.

[0058] Those skilled in the art will appreciate that the embodiments of this specification may be implemented as a system, device, method, or computer program product. Therefore, this specification may be implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0059] The embodiments of the present specification provide a multi-branch radial well wave injection displacement method. Figure 1A flow chart of a multi-branch radial well wave injection displacement method in an embodiment of the present specification is shown. Although the present specification provides method operation steps or device structures as shown in the following embodiments or drawings, more or fewer operation steps or module units may be included in the method or device based on routine or no creative labor. In the steps or structures that do not logically have a necessary causal relationship, the execution order of these steps or the module structure of the device is not limited to the execution order or module structure described in the embodiments of the present specification and shown in the drawings. When the method or module structure is applied to an actual device or terminal product, it can be connected according to the method or module structure shown in the embodiments or drawings for sequential execution or parallel execution (for example, a parallel processor or multi-threaded processing environment, or even a distributed processing environment).

[0060] Specifically, if Figure 1 As shown, a multi-branch radial well wave injection displacement method provided by an embodiment of the present specification may include the following steps.

[0061] Step S101, obtaining reservoir physical property data, injection-production well pattern data and production dynamic characteristic data of the target oil reservoir.

[0062] The method in this embodiment can be applied to computer equipment. Before performing the wave injection displacement, parameters related to the injection displacement can be determined first to provide guidance and reference for the wave injection displacement.

[0063] The reservoir physical property data, injection and production well pattern data and production dynamic characteristic data of the target reservoir can be obtained. The target reservoir can be a reservoir to be studied and developed. The target reservoir can include the development of heavy oil, tight oil and other reservoirs, especially the development of block reservoirs, scattered residual oil potential, and high water content oil field profile control.

[0064] Reservoir physical property data may include oil saturation distribution data, fracture distribution data, porosity and permeability distribution data of the target reservoir. Injection-production well pattern data may include injection-production well pattern layout, injection-production well pattern spacing and injection-production well type. Production dynamic characteristic data may include parameters such as initial injection method, initial production method and water content of production wells of the target reservoir.

[0065] Step S102, determining multi-branch radial well pattern structure data for performing multi-branch radial well transformation on injection wells in the injection-production well pattern according to reservoir physical property data, injection-production well pattern data and production dynamic characteristic data of the target oil reservoir.

[0066] After obtaining the reservoir physical property data, injection-production well pattern data and production dynamic characteristic data of the target oil reservoir, the multi-branch radial well pattern structure data for the multi-branch radial well transformation of the injection wells of the injection-production well pattern can be determined. The multi-branch radial well pattern structure data may include various parameters such as the position, direction, number, length and the like of the branch wells in the multi-branch radial well pattern.

[0067] In some embodiments of the present specification, determining the multi-branch radial well network structure data for multi-branch radial well transformation of injection wells in the injection-production well network based on the reservoir property data, injection-production well network data and production dynamic characteristic data of the target oil reservoir may include: determining the position and direction of the radial well branches based on the reservoir property data of the target oil reservoir; determining the radial well transformation area and the length of the radial well branches based on the injection-production well network data of the target oil reservoir; determining the number of radial well branches using the injection-production well network data and the production dynamic characteristic data; generating the multi-branch radial well network structure data based on the radial well transformation area, the position and direction of the radial well branches, the length of the radial well branches and the number of the radial well branches.

[0068] In this embodiment, the position and direction of the radial well branch can be determined based on the reservoir physical property data of the target oil reservoir. The position and direction of the radial well branch can include the position and direction of the radial well branch in the injection and production well network of the target oil reservoir. The radial well transformation area and the length of the radial branch can also be determined based on the injection and production well network data of the target oil reservoir. Afterwards, the number of radial well branches is determined using the production dynamic characteristic data. Afterwards, multi-branch radial well network structure data can be generated based on the radial well transformation area, the position and direction of the radial well branch, the length of the radial well branch and the number of the radial well branches. In the above manner, multi-branch radial well network structure data in the injection displacement scheme can be generated.

[0069] Step S103, using the production dynamic characteristic data, determining the fluctuating injection parameters for injecting into the transformed multi-branch radial well pattern.

[0070] Step S104: generating an injection displacement scheme for the target oil reservoir based on the multi-branch radial well pattern structure data and the fluctuation injection parameters.

[0071] The fluctuation injection parameters can be determined according to the production dynamic characteristic data. The fluctuation injection parameters may include parameters such as fluctuation injection mode, fluctuation injection amplitude and fluctuation injection time. After obtaining the multi-branch radial well pattern structure data and the fluctuation injection parameters, the injection displacement scheme of the target reservoir can be generated, providing theoretical reference and guidance for subsequent fluctuation injection displacement.

[0072] In the above embodiment, a wave injection displacement method based on multi-branch radial wells is provided. According to the reservoir physical property data, injection-production well network data and production dynamic characteristic data of the target oil reservoir, the multi-branch radial well network structure data for multi-branch radial well transformation of the injection wells in the injection-production well network and the wave injection parameters for injection of the transformed multi-branch radial well network are determined, and then the injection displacement scheme of the target oil reservoir is generated to provide reference and guidance for multi-branch radial well wave injection drive of the target oil reservoir. By transforming the injection wells into multi-branch radial wells and performing wave injection on the fluid, the swept range of the injected fluid can be expanded, the branch wells provide multiple injection points, the elastic wave intensity and range during wave injection are enhanced, and the degree of utilization of the remaining oil in the oil reservoir is improved, so as to solve the problems of low recovery rate, insufficient swept volume, rapid water breakthrough, and early gas breakthrough in the prior art.

[0073] In some embodiments of the present specification, the reservoir physical property data of the target oil reservoir may include: oil saturation distribution data, fracture distribution data and porosity permeability distribution data; accordingly, determining the position and direction of the radial well branch based on the reservoir physical property data of the target oil reservoir may include: determining the sweet spot position and the sub-sweet spot position of the target oil reservoir based on the oil saturation distribution data; determining the first position range of the radial well branch based on the sweet spot position and the sub-sweet spot position; when the fracture distribution data indicates that there are natural fractures or hydraulic fractures in the reservoir of the target oil reservoir, setting the direction of the radial well to be parallel to the fracture direction of the natural fracture or the hydraulic fracture, and determining the second position range of the radial well branch according to the position of the natural fracture or the hydraulic fracture; setting the radial well branch to pass through a high-porosity and high-permeability area based on the porosity and permeability distribution data.

[0074] Specifically, the sweet spot and the secondary sweet spot can be optimized according to the current reservoir oil saturation distribution. The sweet spot will be distributed within 30m on both sides of the radial well branch, or the axis position of the two branch wells. The radial well position gives priority to the main sweet spot, and on this basis, try to get closer to the secondary sweet spot to obtain a greater recovery rate. During wave injection, the wave energy decays outward in the form of elastic waves. The simulation results at 30m show that the elastic wave energy remains about 40%, which is close to the constant displacement effect. The indoor experimental results show that the recovery rate increase is 1-5%. When multi-branch radial injection is performed, multiple wave sources are superimposed, and the optimal range is within 30m. After exceeding 30m, the wave displacement effect is significantly reduced. The sweet spot will be distributed within 30m on both sides of the radial well branch, which can improve the wave displacement effect. When there are natural fractures and hydraulic fractures in the reservoir, the radial well direction should be parallel to the fracture direction, and the distance should not be less than 5m. The intersection of radial wells and fractures will cause the injected fluid to flow along the fractures, and the swept range of the injected fluid will be reduced. When parallel to the fractures, the injected fluid can only seep through the matrix, and the swept range is larger, which can increase the oil recovery rate between fractures and radial wells and improve the degree of displacement. Porosity and permeability are positively correlated, and radial wells preferentially pass through high-porosity and high-permeability areas. By setting radial wells to pass through high-porosity and high-permeability areas. The resistance during seepage in high-porosity and high-permeability areas is smaller, and the wave displacement effect is better. When the permeability is too low, the seepage resistance is large, and the wave energy overcomes the seepage resistance quickly, and the gain effect is not obvious. By setting radial wells to preferentially pass through high-porosity and high-permeability areas, the wave displacement effect can be further improved, and the recovery rate can be increased.

[0075] In some embodiments of the present specification, the injection and production well network data may include: injection and production well network layout, injection and production well network spacing, and injection and production well types; accordingly, based on the injection and production well network data of the target oil reservoir, determining the radial well transformation area and the length of the radial well branch may include: when the injection and production well type is a vertical well, determining to perform a multi-branch radial well transformation on the injection well; determining the area where the injection and production well network is symmetrically distributed according to the injection and production well network layout, and using the area where the injection and production well network is symmetrically distributed as the radial well transformation area; determining the branch length range of the radial well branch based on the injection and production well network spacing.

[0076] Specifically, the injection and production well types can include horizontal wells and vertical wells. In the case of vertical wells, radial transformation is performed. For radial well transformation of injection wells in the well network, the branch length should take into account the distance between the main wellbore of the injection and production wells. The end of the branch well should be no less than 150m away from the production well. The branch length is recommended to be 30-100m, and the branch length should be less than 1 / 3 of the distance between the injection and production wells. In the above way, the multi-branch radial well transformation and branch length range can be determined.

[0077] In some embodiments of the present specification, the injection-production well network data includes the injection-production well ratio; the production dynamic characteristic data may include the water content of the production well; accordingly, using the injection-production well network data and the production dynamic characteristic data to determine the number of radial well branches may include: determining twice the injection-production well ratio as the maximum value of the radial well branches; when the water content of the production well is greater than the preset water content, increasing the number of branch wells in the multi-branch radial well network structure. The number of branches should be spatially symmetrically distributed when designing, and the maximum number of branches is twice the injection-production well ratio. When the water content of the production well is too high (for example, above 70%), the number of branches can be increased by 1-2 branches. The number of branches can be determined in the above manner.

[0078] In some embodiments of the present specification, the production dynamic characteristic data may include: an initial injection mode and an initial production mode; accordingly, using the production dynamic characteristic data to determine the fluctuating injection parameters for injecting into the transformed multi-branch radial well network may include: when the initial injection mode is a constant flow injection mode, determining the injection mode for the transformed multi-branch radial well network as a fluctuating flow injection; when the initial injection mode is a constant pressure injection mode, determining the injection mode for the transformed multi-branch radial well network as a fluctuating pressure injection; and determining the initial production mode as the production mode of the transformed multi-branch radial well network.

[0079] Specifically, the initial injection method and the initial production method are the initial injection method and production method of the target oil reservoir. When the initial injection method is a constant flow injection method, the injection method for the modified multi-branch radial well network is determined to be a fluctuating flow injection. When the initial injection method is a constant pressure injection method, the injection method for the modified multi-branch radial well network is determined to be a fluctuating pressure injection. There are two main production methods for production wells, a constant pressure production method and a fixed displacement production method. When changing to fluctuating injection, the production method of the production well remains unchanged and is the same as the original production method. Through the above method, the production cost can be reduced.

[0080] In some embodiments of the present specification, the production dynamic characteristic data may include: pumping volume change data or pumping pressure change data; accordingly, using the production dynamic characteristic data to determine the fluctuation injection parameters for injecting into the transformed multi-branch radial well network may include: when the injection method for the transformed multi-branch radial well network is fluctuation flow injection, determining the maximum pumping frequency according to the pumping pressure change data; when the injection method for the transformed multi-branch radial well network is fluctuation pressure injection, determining the maximum pumping frequency according to the pumping volume change data; determining the target pumping frequency for injecting into the transformed multi-branch radial well network by conducting a core fluctuation injection experiment on the reservoir of the target oil reservoir, the target pumping frequency being less than or equal to the maximum pumping frequency; and using the target pumping frequency to perform a reservoir numerical model to determine the fluctuation injection amplitude and the fluctuation injection time.

[0081] Specifically, the pumping frequency range is determined by the following steps. The fluctuation period gradually decreases from 1h. When the injection method is the displacement fluctuation injection method, it is necessary to pay attention to the change of the pumping pressure. The maximum pumping frequency is when it exceeds 90% of the rated pressure of the pipe string. When the injection method is the pressure fluctuation injection method, it is necessary to pay attention to the change of the pumping displacement. The maximum pumping frequency is when the displacement decreases suddenly. After determining the pumping frequency range, the optimal pumping frequency can be determined by the core fluctuation injection experiment. Within this range (zero to maximum pumping frequency), the fluctuation drive experiment is preferentially carried out. The optimal frequency is when the recovery factor is the largest, and a smaller frequency is selected when the recovery factors are the same.

[0082] The optimal pumping frequency can be determined through core wave injection experiments. Take the core of the target block. The recommended experimental core size is φ2.5×5cm. Saturate the target block with crude oil. Under reservoir temperature and pressure conditions, perform wave flooding. The frequency range of wave flooding refers to the field test range. The optimal frequency is when the recovery factor is the largest within this range. When the recovery factors are the same, select a smaller frequency.

[0083] After determining the optimal frequency, we design different fluctuation injection amplitudes and fluctuation injection times to conduct numerical simulation research on the reservoir, optimize the parameters with the maximum recovery rate as the goal, and obtain the corresponding fluctuation injection amplitude and fluctuation injection time. For the pressure fluctuation injection method, the fluctuation injection amplitude refers to the difference between the maximum or minimum pressure and the average value when the pressure fluctuates. For the displacement fluctuation injection method, the fluctuation injection amplitude refers to the difference between the maximum or minimum displacement and the average value when the displacement fluctuates. Numerical simulation of the reservoir is to obtain the reservoir physical property input, length, width, height, porosity, permeability, oil saturation, and input the model to obtain the injection and production parameters. Through the above method, the fluctuation injection parameters can be determined to improve the recovery rate.

[0084] In some embodiments of the present specification, the method may further include: obtaining injection and production well pressure data and fluid flow change data during the fluctuation injection displacement process; and adjusting the fluctuation injection parameters according to the injection and production well pressure data and fluid flow change data.

[0085] Fluid wave injection is carried out in each radial well to form periodic pressure pulsation. Pump injection control is carried out in the main wellbore according to the designed optimal frequency. Each nozzle in the branch wellbore uses the same wave injection structure. The elastic waves generated by the wave pulse are of the same frequency and phase, which can achieve the superposition of wave fields in the vertical wellbore direction and enhance the wave displacement effect. By changing the injection pressure, the wave injection significantly improves the fluid mobilization capacity in the reservoir, thereby effectively improving the recovery rate. During the wave injection process, the elastic waves from multiple wave sources in the radial well are superimposed in the reservoir, which enhances the pressure pulsation in the reservoir, improves the pore pressure distribution, and improves the mobilization capacity of oil and water.

[0086] During the displacement process, the pressure and fluid flow changes of the injection and production wells are monitored in real time through sensors installed at the wellhead and wellbore. Through data analysis, the changes in various parameters during the displacement process are evaluated, and the injection strategy is adjusted as needed to ensure the continuous optimization of the displacement effect. When the water production rate of the oil well rises rapidly during fluctuation injection, the fluctuation pressure or displacement amplitude is gradually increased, and the injection frequency is increased at the same time. Each time the pressure or displacement is adjusted, it increases by 10%. The adjustment time is 3-4 weeks, and the frequency is adjusted to 1.1-1.5 times the original. After the water seepage continues to decrease, the displacement and pressure changes remain unchanged, and the frequency is adjusted back to the original value. In the above way, the fluctuation injection parameters in the displacement process can be adjusted in real time to improve the displacement effect, expand the swept volume, and increase the recovery rate.

[0087] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. For details, please refer to the description of the above-mentioned related processing related embodiments, and no further description is given here.

[0088] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0089] The above method is described below in conjunction with a specific embodiment. However, it should be noted that the specific embodiment is only for better illustrating the present specification and does not constitute an improper limitation on the present specification.

[0090] In this specific embodiment, a multi-branch radial well wave injection displacement method is provided. In this specific embodiment, it is considered that the current conventional displacement technology has problems such as severe fingering, small swept volume, and a sudden drop in oil production after water and gas are seen in oil reservoir exploitation, resulting in poor development effect. Multi-branch radial well technology is flexible in well shape design, low well construction cost, easy to communicate with residual oil reservoirs, improve existing flow channels by artificial means, alleviate the problem of water in oil-producing wells, etc. At the same time, radial wells can increase the contact area between the injected fluid and the oil reservoir, enhance the effect and range of wave injection, and are suitable for oil reservoir development. Wave injection technology can use periodic pressure fluctuations to increase the fluid mobilization capacity and recovery rate in the oil reservoir, improve the flow capacity of residual oil, and increase the swept volume. Therefore, combining the multi-branch radial well and wave injection method is expected to significantly improve the recovery rate in the oil reservoir.

[0091] The method in this embodiment can expand the swept range of the injected fluid by performing wave injection of fluid (such as CO2, water, surfactant solution, nanofluid, etc.), provide multiple injection points in branch wells, enhance the intensity and range of elastic waves during wave injection, and improve the utilization of remaining oil in the reservoir, so as to solve the problems of low recovery rate, insufficient swept volume, rapid water breakthrough, and early gas breakthrough in the prior art.

[0092] Please refer to Figure 2 , shows a schematic diagram of a multi-branch radial wellbore. The multi-branch radial wellbore may include a main wellbore 11 and multiple branch wellbores 21. A main wellbore wave eccentric injection tool 13 may be used to inject the main wellbore 11 along the main wellbore injection pipeline 12. A branch radial well injection nozzle 23 may be used to inject the branch wellbore 21 along the branch radial well injection pipeline 22.

[0093] The multi-branch radial well wave injection displacement method in this embodiment may include the following steps.

[0094] Reservoir physical property data analysis and well pattern design. Multi-branch radial well pattern design is carried out according to the reservoir physical property data (oil saturation distribution, fracture distribution, porosity and permeability distribution), injection and production well pattern data (injection and production well pattern layout, injection and production well pattern spacing, injection and production well type) and production dynamic characteristics (injection and production mode, constant pressure injection, constant flow injection, constant pressure production, constant flow production). According to the current reservoir oil saturation distribution, the sweet spot and sub-sweet spot are selected. The sweet spot position will be distributed within 30m on both sides of the radial well branch, or the axis position of the two branch wells; when there are natural fractures and hydraulic fractures in the reservoir, the radial well direction should be parallel to the fracture direction, and the distance should not be less than 5m; porosity and permeability are positively correlated, and radial wells should preferentially pass through high-porosity and high-permeability areas; the transformation area gives priority to the area with symmetrical distribution of injection and production well patterns, and the production dynamics provide reference for fluctuating injection and production. The production mode of the production wells remains consistent. When the injection well is injected at constant pressure, it is subsequently adjusted to pressure fluctuation, and when the injection well is injected at constant flow, it is adjusted to displacement fluctuation. On this basis, blocky oil reservoirs with low utilization or scattered oil areas with high oil saturation are used as radial well drilling areas. Radial well drilling avoids directly passing through the oil reservoir, and the radial wellbore is controlled within 30m from the oil reservoir. When the oil reservoir is located between radial wells, the distance from both sides should be kept consistent as much as possible. The direction of the radial well should avoid the direction of the oil production well. When the radial well is along the direction of the oil production well, the length of the radial well should be shortened, and the distance between the radial well and the oil production well should be greater than 150m.

[0095] Design of wave injection parameters. Wave injection can be achieved using eccentric injection tools, self-excited wave injection tools, etc. The recommended injection nozzle interval is 1-2m. The same pumping process is adopted between the radial wells of each branch of the same main wellbore. Due to the limited borehole size of the radial well, the pressure bearing capacity of the pumping pipe is reduced. The pumping frequency range is determined by the following steps. The fluctuation period gradually decreases from 1h. When the displacement fluctuates, it is necessary to pay attention to the change of pumping pressure. When it exceeds 90% of the rated pressure of the pipe string, it is the maximum pumping frequency; when the pressure fluctuates, it is necessary to pay attention to the change of pumping displacement. When the displacement decreases suddenly, it is the maximum pumping frequency. After determining the pumping frequency range, the optimal pumping frequency can be determined by the core fluctuation injection experiment. Within this range, the fluctuation oil displacement experiment is preferred. The optimal frequency is when the recovery factor is the maximum, and a smaller frequency is selected when the recovery factor is the same.

[0096] Fluctuation injection displacement. Fluid fluctuation injection is carried out in each radial well to form periodic pressure pulsation. Pumping control is carried out in the main wellbore according to the designed optimal frequency. Each nozzle in the branch wellbore uses the same fluctuation injection structure. The elastic waves generated by the fluctuation pulse have the same frequency and phase, thereby realizing the superposition of the wave field in the vertical wellbore direction and enhancing the fluctuation displacement effect. Figure 3As shown in the figure, a schematic diagram of wave field superposition at different intervals is shown. Wave injection significantly improves the fluid utilization capacity in the reservoir by changing the injection pressure, thereby effectively improving the recovery rate. During the wave injection process, elastic waves from multiple wave sources in the radial well are superimposed in the reservoir, enhancing the pressure pulsation in the reservoir, improving the pore pressure distribution, and improving the utilization capacity of oil and water.

[0097] Optimization of injection parameters and rational design of multi-branch wells. During the entire wave injection process, the branch length, number of branches and injection parameters of multi-branch radial wells should be rationally designed. The branch length should take into account the distance between the main wellbore of the injection and production wells. The end of the branch well should be no less than 150m away from the production well. The number of branches should be spatially symmetrical when designing. The maximum number of branches should be twice the ratio of production and injection wells to ensure that the injection pressure fluctuations are effectively propagated in the well network, slowing down the attenuation of the fluctuation energy, and reducing the amount of injected gas while increasing the recovery rate. Through experiments and numerical simulations, the optimal injection frequency, pressure amplitude and duration are determined to obtain the best displacement effect. The injection frequency is obtained by the design of the fluctuation injection parameters. After determining the optimal frequency, numerical simulation studies are conducted by designing different amplitudes and fluctuation injection times, and the parameters are optimized with the maximum recovery rate as the target.

[0098] Monitoring and data analysis. During the displacement process, the pressure and fluid flow changes of the injection and production wells are monitored in real time through sensors installed at the wellhead and wellbore. Through data analysis, the changes in various parameters during the displacement process are evaluated, and the injection strategy is adjusted as needed to ensure the continuous optimization of the displacement effect. When the water production rate of the oil well rises rapidly during fluctuation injection, the fluctuation pressure or displacement amplitude is gradually increased, and the injection frequency is increased at the same time. Each time the pressure or displacement is adjusted, it increases by 10%. The adjustment time is 3-4 weeks, and the frequency is adjusted to 1.1-1.5 times the original. After the water seepage continues to decrease, the displacement and pressure changes remain unchanged, and the frequency is adjusted back to the original value.

[0099] Compared with the constant displacement technology, the method in this embodiment can effectively improve the utilization of the remaining oil, expand the swept volume, and improve the recovery rate by combining multi-branch radial wells with wave injection. The specific effects are reflected in the following aspects.

[0100] Improved recovery rate: Experimental results show that the recovery rate of the method in this embodiment is improved by 0.83% to 1.05% compared with the traditional method. This is because the wave injection effectively improves the fluid seepage environment in the reservoir and enhances the residual oil utilization capacity.

[0101] Improved oil replacement efficiency: Taking CO2 flooding as an example, through the wave injection method, the required CO2 injection volume can be reduced by about 1.8 to 4.2×10 5 m 3This not only reduces development costs, but also reduces the impact on the environment, which has good environmental benefits.

[0102] Expanded swept volume: The multi-branch radial well design can achieve the same frequency and phase of the wave pulse elastic wave, and the elastic wave superposition effect is more obvious. Through the propagation of elastic waves, the swept volume is effectively expanded, further improving the recovery rate of the reservoir.

[0103] The following is a description of a specific embodiment. The basic physical property parameters of the target reservoir used in the method in this specific embodiment are shown in Table 1.

[0104] Table 1

[0105]

[0106] Based on this method, the production in the oil field was simulated, and the method in this embodiment was used to perform CO2 fluctuation injection displacement. The well pattern consisted of 4 production wells and 1 injection well. Each injection well was arranged with 1 to 4 radial branch wells, and the branch length was 30 meters. The injection process used a fluctuation frequency of 2Hz and an amplitude of 1MPa. After 2000 days of displacement operation, the recovery rate was increased by about 1.05% compared with the traditional CO2 displacement, and the total injection volume of CO2 was reduced by about 2.1×105m 3 By real-time monitoring of injection pressure and fluid flow, it is found that fluctuation injection can significantly improve the pressure distribution near the wellbore and greatly improve the displacement efficiency. Figure 4 . Figure 4 The schematic diagram of oil production curve under different injection displacement methods is shown. Figure 4 As shown, compared with the single-branch non-fluctuation displacement method, the multi-branch radial well fluctuating injection method in the embodiment of this specification can significantly improve the recovery rate.

[0107] Based on the same inventive concept, a multi-branch radial well fluctuation injection displacement device is also provided in the embodiments of this specification, as described in the following embodiments. Since the principle of solving the problem by the multi-branch radial well fluctuation injection displacement device is similar to that of the multi-branch radial well fluctuation injection displacement method, the implementation of the multi-branch radial well fluctuation injection displacement device can refer to the implementation of the multi-branch radial well fluctuation injection displacement method, and the repeated parts will not be repeated. As used below, the term "unit" or "module" can be a combination of software and / or hardware that implements predetermined functions. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived. Figure 5 is a structural block diagram of a multi-branch radial well wave injection displacement device according to an embodiment of the present specification, such as Figure 5As shown, it may include: an acquisition module 501, a first determination module 502, a second determination module 503 and a generation module 504. The structure is described below.

[0108] The acquisition module 501 is used to acquire reservoir physical property data, injection and production well pattern data and production dynamic characteristic data of the target oil reservoir.

[0109] The first determination module 502 is used to determine the multi-branch radial well pattern structure data for performing multi-branch radial well transformation on the injection wells in the injection-production well pattern according to the reservoir physical property data, injection-production well pattern data and production dynamic characteristic data of the target oil reservoir.

[0110] The second determination module 503 is used to determine the fluctuation injection parameters for injecting into the transformed multi-branch radial well pattern by using the production dynamic characteristic data.

[0111] The generation module 504 is used to generate an injection displacement scheme for the target reservoir based on the multi-branch radial well pattern structure data and the fluctuation injection parameters.

[0112] In some embodiments of the present specification, the first determination module is specifically used to: determine the position and direction of the radial well branch according to the reservoir physical property data of the target oil reservoir; determine the radial well transformation area and the length of the radial well branch based on the injection and production well network data of the target oil reservoir; determine the number of the radial well branches using the injection and production well network data and the production dynamic characteristic data; generate multi-branch radial well network structure data based on the radial well transformation area, the position and direction of the radial well branch, the length of the radial well branch and the number of the radial well branches.

[0113] In some embodiments of the present specification, the reservoir physical property data of the target oil reservoir may include: oil saturation distribution data, fracture distribution data and porosity permeability distribution data; accordingly, determining the position and direction of the radial well branch based on the reservoir physical property data of the target oil reservoir may include: determining the sweet spot position and the sub-sweet spot position of the target oil reservoir based on the oil saturation distribution data; determining the first position range of the radial well branch based on the sweet spot position and the sub-sweet spot position; when the fracture distribution data indicates that there are natural fractures or hydraulic fractures in the reservoir of the target oil reservoir, setting the direction of the radial well to be parallel to the fracture direction of the natural fracture or the hydraulic fracture, and determining the second position range of the radial well branch according to the position of the natural fracture or the hydraulic fracture; setting the radial well branch to pass through a high-porosity and high-permeability area based on the porosity and permeability distribution data.

[0114] In some embodiments of the present specification, the injection and production well network data may include: injection and production well network layout, injection and production well network spacing, and injection and production well types; accordingly, based on the injection and production well network data of the target oil reservoir, determining the radial well transformation area and the length of the radial well branch may include: when the injection and production well type is a vertical well, determining to perform a multi-branch radial well transformation on the injection well; determining the area where the injection and production well network is symmetrically distributed according to the injection and production well network layout, and using the area where the injection and production well network is symmetrically distributed as the radial well transformation area; determining the branch length range of the radial well branch based on the injection and production well network spacing.

[0115] In some embodiments of the present specification, the injection-production well network data includes the injection-production well ratio; the production dynamic characteristic data may include the water cut of the production well; accordingly, determining the number of radial well branches using the injection-production well network data and the production dynamic characteristic data may include: determining twice the injection-production well ratio as the maximum value of the radial well branches; and increasing the number of branch wells in the multi-branch radial well network structure when the water cut of the production well is greater than a preset water cut.

[0116] In some embodiments of the present specification, the production dynamic characteristic data may include: an initial injection mode and an initial production mode; accordingly, the second determination module is specifically used to: when the initial injection mode is a constant flow injection mode, determine the injection mode for the transformed multi-branch radial well network as a fluctuating flow injection; when the initial injection mode is a constant pressure injection mode, determine the injection mode for the transformed multi-branch radial well network as a fluctuating pressure injection; determine the initial production mode as the production mode of the transformed multi-branch radial well network.

[0117] In some embodiments of the present specification, the production dynamic characteristic data may include: pumping volume change data or pumping pressure change data; accordingly, the second determination module is specifically used to: when the injection method for the transformed multi-branch radial well network is fluctuating flow injection, determine the maximum pumping frequency according to the pumping pressure change data; when the injection method for the transformed multi-branch radial well network is fluctuating pressure injection, determine the maximum pumping frequency according to the pumping volume change data; determine the target pumping frequency for injection into the transformed multi-branch radial well network by conducting a core fluctuation injection experiment on the reservoir of the target oil reservoir, the target pumping frequency being less than or equal to the maximum pumping frequency; and use the target pumping frequency to perform a reservoir numerical model to determine the fluctuation injection amplitude and the fluctuation injection time.

[0118] In some embodiments of the present specification, the device may further include an adjustment module, which is specifically used to: obtain injection and production well pressure data and fluid flow change data during the fluctuation injection displacement process; and adjust the fluctuation injection parameters according to the injection and production well pressure data and fluid flow change data.

[0119] This specification also provides a computer device, which can be found in Figure 6 The computer device structure diagram of the multi-branch radial well wave injection displacement method provided in the embodiment of this specification is shown, and the computer device may specifically include an input device 61, a processor 62, and a memory 63. Among them, the memory 63 is used to store processor executable instructions. When the processor 62 executes the instructions, the steps of the multi-branch radial well wave injection displacement method described in any of the above embodiments are implemented.

[0120] In this embodiment, the input device may specifically be one of the main devices for information exchange between the user and the computer system. The input device may include a keyboard, a mouse, a camera, a scanner, a light pen, a handwriting input board, a voice input device, etc.; the input device is used to input the original data and the program for processing these numbers into the computer. The input device can also obtain and receive data transmitted from other modules, units, and devices. The processor can be implemented in any appropriate manner. For example, the processor can take the form of a computer-readable medium, a logic gate, a switch, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable logic controller, and an embedded microcontroller, etc., such as a microprocessor or a processor and a computer-readable program code (such as software or firmware) that can be executed by the (micro) processor. The memory may specifically be a memory device used to store information in modern information technology. The memory may include multiple levels. In a digital system, anything that can store binary data can be a memory; in an integrated circuit, a circuit with a storage function without a physical form is also called a memory, such as a RAM, a FIFO, etc.; in a system, a storage device with a physical form is also called a memory, such as a memory stick, a TF card, etc.

[0121] In this embodiment, the functions and effects specifically realized by the computer device can be explained in comparison with other embodiments and will not be described in detail here.

[0122] A computer storage medium based on a multi-branch radial well fluctuation injection displacement method is also provided in an embodiment of the present specification. The computer storage medium stores computer program instructions, and when the computer program instructions are executed, the steps of the multi-branch radial well fluctuation injection displacement method described in any of the above embodiments are implemented.

[0123] In this embodiment, the storage medium includes, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a cache, a hard disk (HDD) or a memory card. The memory may be used to store computer program instructions. The network communication unit may be an interface for network connection communication set in accordance with the standard specified by the communication protocol.

[0124] In this embodiment, the functions and effects specifically implemented by the program instructions stored in the computer storage medium can be explained in comparison with other embodiments and will not be described in detail here.

[0125] Obviously, those skilled in the art should understand that the modules or steps of the above-mentioned embodiments of this specification can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. In this way, the embodiments of this specification are not limited to any specific combination of hardware and software.

[0126] It should be understood that the above description is for illustration and not for limitation. Many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of this specification should not be determined with reference to the above description, but should be determined with reference to the preceding claims and the full scope of equivalents to which these claims belong.

[0127] The above description is only the preferred embodiment of this specification and is not intended to limit this specification. For those skilled in the art, the embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this specification shall be included in the protection scope of this specification.

Claims

1. A multi-branch radial well wave injection displacement method, characterized in that: include: Obtain reservoir physical property data, injection and production well pattern data, and production dynamic characteristic data of the target oil reservoir; Determine the multi-branch radial well pattern structure data for performing multi-branch radial well transformation on the injection wells in the injection-production well pattern according to the reservoir physical property data, the injection-production well pattern data and the production dynamic characteristic data of the target oil reservoir; Determining the fluctuating injection parameters for injecting into the transformed multi-branch radial well pattern using the production dynamic characteristic data; An injection displacement scheme for the target oil reservoir is generated based on the multi-branch radial well pattern structure data and the fluctuation injection parameters.

2. The multi-branch radial well wave injection displacement method according to claim 1, characterized in that: According to the reservoir physical property data, injection-production well pattern data and production dynamic characteristic data of the target oil reservoir, the multi-branch radial well pattern structure data for multi-branch radial well transformation of the injection wells in the injection-production well pattern is determined, including: Determining the position and direction of radial well branches according to reservoir physical property data of the target oil reservoir; Determine the radial well transformation area and the length of the radial well branch based on the injection and production well pattern data of the target oil reservoir; Determine the number of radial well branches by using the injection-production well pattern data and the production dynamic characteristic data; Multi-branch radial well pattern structure data is generated based on the radial well transformation area, the position and direction of the radial well branches, the length of the radial well branches and the number of the radial well branches.

3. The multi-branch radial well wave injection displacement method according to claim 2, characterized in that: The reservoir physical property data of the target oil reservoir include: oil saturation distribution data, fracture distribution data and porosity permeability distribution data; Accordingly, according to the reservoir physical property data of the target oil reservoir, the position and direction of the radial well branch are determined, including: Determine the sweet spot position and the secondary sweet spot position of the target reservoir according to the oil saturation distribution data; determine the first position range of the radial well branch based on the sweet spot position and the secondary sweet spot position; When the fracture distribution data indicates that there are natural fractures or hydraulic fractures in the reservoir of the target oil reservoir, the direction of the radial well is set to be parallel to the fracture direction of the natural fracture or the hydraulic fracture, and the second position range of the radial well branch is determined according to the position of the natural fracture or the hydraulic fracture; The radial well branches are arranged to pass through high porosity and high permeability areas according to the porosity and permeability distribution data.

4. The multi-branch radial well wave injection displacement method according to claim 2, characterized in that: The injection-production well network data include: injection-production well network layout, injection-production well network spacing, and injection-production well types; Accordingly, based on the injection and production well pattern data of the target oil reservoir, determining the radial well transformation area and the length of the radial well branch includes: In the case where the injection-production well type is a vertical well, determining to perform multi-branch radial well transformation on the injection well; Determine the area where the injection and production well network is symmetrically distributed according to the injection and production well network layout, and use the area where the injection and production well network is symmetrically distributed as the radial well transformation area; The branch length range of the radial well branches is determined based on the injection and production well pattern spacing.

5. The multi-branch radial well wave injection displacement method according to claim 2, characterized in that: The injection-production well pattern data includes the production-injection well ratio; the production dynamic characteristic data includes the water content of the production well; Accordingly, using the injection-production well pattern data and the production dynamic characteristic data to determine the number of radial well branches includes: Determine twice the production-injection well ratio as the maximum value of the radial well branch; When the water content of the production well is greater than a preset water content, the number of branch wells in the multi-branch radial well pattern structure is increased.

6. The multi-branch radial well wave injection displacement method according to claim 1, characterized in that: The production dynamic characteristic data include: initial injection mode, initial production mode; Accordingly, the production dynamic characteristic data is used to determine the fluctuating injection parameters for injecting into the transformed multi-branch radial well pattern, including: In the case where the initial injection mode is a constant flow injection mode, the injection mode for the modified multi-branch radial well pattern is determined to be a fluctuating flow injection mode; In the case where the initial injection method is a constant pressure injection method, the injection method for the modified multi-branch radial well pattern is determined to be a fluctuating pressure injection method; The initial production mode is determined as the production mode of the modified multi-branch radial well network.

7. The multi-branch radial well wave injection displacement method according to claim 1, characterized in that: The production dynamic characteristic data include: pumping displacement change data or pumping pressure change data; Accordingly, the production dynamic characteristic data is used to determine the fluctuating injection parameters for injecting into the transformed multi-branch radial well pattern, including: When the injection method for the modified multi-branch radial well network is fluctuating flow injection, the maximum pumping frequency is determined according to the pumping pressure change data; when the injection method for the modified multi-branch radial well network is fluctuating pressure injection, the maximum pumping frequency is determined according to the pumping displacement change data; Determine a target pumping frequency for injection into the modified multi-branch radial well pattern by performing a core wave injection experiment on the reservoir of the target oil reservoir, wherein the target pumping frequency is less than or equal to the maximum pumping frequency; The target pumping frequency is used to construct a reservoir numerical model to determine the fluctuation injection amplitude and the fluctuation injection time.

8. The multi-branch radial well wave injection displacement method according to claim 1, characterized in that: Also includes: During the wave injection displacement process, obtain the injection and production well pressure data and fluid flow change data; The fluctuation injection parameters are adjusted according to the injection-production well pressure data and fluid flow change data.

9. A multi-branch radial well wave injection displacement device, characterized in that: include: An acquisition module is used to obtain reservoir physical property data, injection and production well pattern data and production dynamic characteristic data of the target oil reservoir; The first determination module is used to determine the multi-branch radial well pattern structure data for performing multi-branch radial well transformation on the injection wells in the injection-production well pattern according to the reservoir physical property data, the injection-production well pattern data and the production dynamic characteristic data of the target oil reservoir; A second determination module is used to determine the fluctuation injection parameters for injecting into the transformed multi-branch radial well pattern using the production dynamic characteristic data; A generation module is used to generate an injection displacement scheme for the target oil reservoir based on the multi-branch radial well pattern structure data and the fluctuation injection parameters.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the instructions are executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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