Determination method and device of hydrate group well turn production scheme, electronic equipment and storage medium

Abstract

The invention discloses a hydrate group well turn production scheme determination method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining reservoir data corresponding to a target area, and building a reservoir simulation model corresponding to the target area according to the reservoir data, the reservoir simulation model at least comprises two simulation wells; determining rotation production scheme evaluation data corresponding to at least two group well rotation production schemes according to the reservoir simulation model; and determining a target group well turn production scheme from the at least two group well turn production schemes based on the turn production scheme evaluation data. On the basis of the technical scheme, the corresponding hydrate reservoir simulation model is constructed according to the reservoir data, then different alternate production schemes are evaluated, the alternate production scheme corresponding to the target area can be further determined, the production efficiency of the natural gas hydrate system is improved, and the production economy is improved.

Description

Technical Field

[0001] This invention relates to the field of natural gas hydrate production evaluation technology, and in particular to a method, apparatus, electronic equipment and storage medium for determining a hydrate well rotation production scheme. Background Art

[0002] Natural gas hydrate systems, as a promising alternative energy source, possess significant advantages such as wide distribution, enormous reserves, high energy density, and environmental friendliness. It is estimated that the total organic carbon contained in global natural gas hydrate systems is approximately twice that of traditional fossil fuels, making them a strategic high ground for future global energy development.

[0003] However, traditional extraction methods focus on improving the production of individual wells. Although the production capacity is increased, it is difficult to carry out large-scale permeability enhancement operations around the well. As a result, the production capacity of a single well in a hydrate system is still far below the commercial development standard. Furthermore, due to the strong heterogeneity of the reservoir in a single hydrate system, it is not conducive to long-term high production, which in turn reduces the extraction volume of natural gas hydrate systems. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for determining a rotational production scheme for hydrate well groups. By constructing a reservoir simulation model of the corresponding hydrate system based on reservoir data, different rotational production schemes can be evaluated, and a rotational production scheme corresponding to the target area can be further determined, thereby improving the extraction efficiency and economic efficiency of hydrate natural gas.

[0005] According to one aspect of the present invention, a method for determining a hydrate group well rotation production scheme is provided, comprising:

[0006] Acquire reservoir data corresponding to the target area, and establish a reservoir simulation model corresponding to the target area based on the reservoir data, wherein the reservoir simulation model includes at least two simulation wells;

[0007] Based on the reservoir simulation model, determine the evaluation data of the rotation production scheme corresponding to at least two well group rotation production schemes;

[0008] Based on the evaluation data of the rotation scheme, a target well rotation scheme is determined from the at least two well rotation schemes.

[0009] According to another aspect of the present invention, an apparatus for determining a hydrate group well rotation production scheme is provided, comprising:

[0010] The simulation model construction module is used to acquire reservoir data corresponding to the target area and establish a reservoir simulation model corresponding to the target area based on the reservoir data, wherein the reservoir simulation model includes at least two simulation wells;

[0011] The evaluation module is used to determine the evaluation data of the rotation production scheme corresponding to at least two well rotation production schemes based on the reservoir simulation model;

[0012] The target scheme determination module is used to determine a target well rotation scheme from the at least two well rotation schemes based on the rotation scheme evaluation data.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the method for determining the hydrate group well rotation production scheme according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the method for determining a hydrate group well rotation production scheme according to any embodiment of the present invention.

[0018] The technical solution of this invention involves acquiring reservoir data corresponding to a target area, establishing a reservoir simulation model corresponding to the target area based on the reservoir data, determining evaluation data for rotational production schemes corresponding to at least two well-group rotational production schemes based on the reservoir simulation model, and finally determining a target well-group rotational production scheme from the at least two well-group rotational production schemes based on the evaluation data. Based on this technical solution, by constructing a corresponding hydrate reservoir simulation model based on reservoir data and evaluating different rotational production schemes, a rotational production scheme corresponding to the target area can be further determined, thereby improving the extraction efficiency and economics of natural gas hydrate systems.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating a method for determining a hydrate group well rotation production scheme according to an embodiment of the present invention;

[0022] Figure 2 This is a schematic diagram of the system for determining the hydrate group well rotation production scheme provided in an embodiment of the present invention;

[0023] Figure 3 This is a flowchart of a method for determining a hydrate group well rotation production scheme provided in an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of the main vessel body provided in an embodiment of the present invention;

[0025] Figure 5 This is a structural block diagram of the device for determining the hydrate group well rotation production scheme provided in the embodiments of the present invention;

[0026] Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Example 1

[0030] Figure 1 This is a flowchart illustrating a method for determining a rotational production scheme for a hydrate well group, provided by an embodiment of the present invention. This embodiment is applicable to the evaluation of different rotational production schemes and the determination of the rotational production scheme corresponding to the target area during the development of a natural gas hydrate system. This method can be executed by a device for determining the rotational production scheme for a hydrate well group. This device can be implemented in hardware and / or software and can be configured in an electronic device, such as a server or terminal device. Figure 1 As shown, the method includes:

[0031] S110. Obtain reservoir data corresponding to the target area, and establish a reservoir simulation model corresponding to the target area based on the reservoir data.

[0032] The target area can be a region to be exploited that requires simulation of a rotational well production scheme. It should be noted that the technical solution of this invention is for optimizing and evaluating a multi-well rotational well production method for hydrate systems; therefore, the target area can be a natural gas-rich area located in the ocean. It should also be noted that the reservoir simulation model can be a three-dimensional reservoir geological model constructed using three-dimensional software, or a physical model constructed based on reservoir data.

[0033] Specifically, before conducting the simulation, basic data such as geological structure, stratum distribution, reservoir thickness, and porosity of the target area can be obtained through geological exploration methods, such as seismic wave exploration and geological drilling. Reservoir rock samples should also be collected for laboratory analysis to determine key parameters such as permeability, water saturation, and gas composition. Furthermore, based on the acquired geological and rock physical data, a three-dimensional reservoir geological model can be established using reservoir modeling software such as Petrel and Eclipse. During the modeling process, special attention must be paid to setting reservoir boundary conditions and the accuracy of the simulation mesh to ensure the model's accuracy and reliability. Finally, the established reservoir simulation model is validated and optimized using methods such as history fitting and sensitivity analysis. Model parameters are adjusted to accurately predict dynamic changes in the reservoir of the target area, including pressure distribution, fluid flow, and production capacity changes, providing a solid model foundation for subsequent evaluation of hydrate system well rotation.

[0034] S120. Determine the evaluation data of the rotation production scheme corresponding to at least two well rotation production schemes based on the reservoir simulation model.

[0035] The well rotation production scheme includes the number of wells to be rotated and the simulated well distribution. The well rotation production scheme can be a pre-set rotation production scheme for a hydrate system. Evaluation data for the rotation production scheme can be data used to evaluate the merits of the scheme, such as gas production.

[0036] Specifically, based on a reservoir simulation model, two or more different well-group rotation production schemes are designed, including but not limited to different combinations of key parameters such as well group layout (e.g., linear arrangement, circumferential arrangement), production cycle, well shut-in time, and rotation sequence. Each rotation production scheme is then numerically simulated using reservoir simulation software. During the simulation, data such as gas production, water production, sand production, pressure distribution, and permeability changes at different time points under each scheme are recorded. The adaptability of each scheme to reservoir heterogeneity and the inter-well interference effect are analyzed. Based on the simulation results, the cumulative gas production, recovery rate, and production efficiency of each rotation production scheme are calculated. Through comparative analysis, the advantages and disadvantages of each scheme are determined. By combining the evaluation data of each rotation production scheme with economic and feasibility analysis, the most suitable well-group rotation production scheme for the target reservoir is selected. The technical solution provided by this invention, by determining the evaluation data corresponding to each rotation production scheme, will provide a scientific basis and guidance for the optimization of process parameters in the actual operation of well-group rotation production in offshore hydrate systems. It should be noted that the hydrate system includes the hydrate layer, the associated gas layer, and the underlying shallow gas layer.

[0037] Based on the above technical solution, the step of determining the evaluation data of the rotation production scheme corresponding to at least two group well rotation production schemes according to the reservoir simulation model includes: determining the number of rotation production wells and the distribution of simulated wells corresponding to the group well rotation production scheme; determining the distribution location of the rotation production wellheads corresponding to the group well rotation production scheme based on the number of rotation production wells and the distribution of simulated wells; and determining the evaluation data of the rotation production scheme corresponding to the group well rotation production scheme based on the distribution location of the rotation production wellheads.

[0038] The number of wells in rotation can be understood as the number of wells that continue to be mined simultaneously, including single-well or multi-well mining. The simulated well distribution can be the distribution scheme of each well during rotation mining, such as linear distribution, circumferential or honeycomb layout, etc. The location of the wells in rotation mining can be the possible distribution locations of the wells being mined.

[0039] For example, when there are five wellheads A, B, C, D, and E at the same time, and the wellheads are linearly distributed, during single-well mining, the possible distribution positions of the wellheads in rotation can be any of A, B, C, D, and E. However, in order to improve the efficiency of the simulation experiment, wellheads in symmetrical positions are not tested again. That is, the combination of the distribution positions of the wellheads in rotation at this time can be A, B, C or C, D, and E. During multi-well mining, taking two wells as an example, their possible distribution positions are adjacent distribution, intermittent distribution, symmetrical distribution, etc. Similarly, wellheads in symmetrical positions are not tested again.

[0040] Specifically, the number of wells to be rotated and the distribution of simulated wells corresponding to the well group rotation production scheme are determined. Based on the number of wells to be rotated and the distribution of simulated wells, the distribution location of the wellheads corresponding to the well group rotation production scheme is determined. Then, based on the distribution location of the wellheads, the evaluation data of the rotation production scheme corresponding to the well group rotation production scheme is determined. Alternatively, based on the scale, heterogeneity, and economic requirements of the target reservoir, at least two well group rotation production schemes can be designed, and the number of wells to be rotated and the preliminary distribution of simulated wells for each scheme can be determined. Through a reservoir simulation model, the impact of different numbers and distributions of wells on production capacity is analyzed, and the final number of wells to be rotated and the spatial layout of simulated wells are optimized. Then, based on the distribution location of the wellheads, the reservoir simulation model is run again, focusing on simulating gas production rate, pressure consumption, permeability changes, and inter-well interference effects under different production cycles, generating evaluation data of the rotation production scheme including cumulative gas production, recovery rate, production efficiency, and economic indicators. Through comparative analysis, the optimal rotation production scheme is selected, providing a scientific basis for actual operations.

[0041] Based on the above technical solution, the step of determining the evaluation data of the rotation production scheme corresponding to the group well rotation production scheme based on the distribution location of the rotation production wellheads includes: controlling all simulated wells in the reservoir simulation model to simulate gas production and collecting the gas production volume corresponding to each simulated well; and determining the evaluation data of the rotation production scheme based on the gas production volume and the distribution location of the rotation production wellheads.

[0042] In this context, a simulated well can be understood as a virtual well or sample set up in a reservoir simulation model to simulate a gas-producing well.

[0043] Specifically, in the established reservoir simulation model, the production parameters for each simulated well are precisely set, including but not limited to production pressure, production rate, and production duration, to ensure that the simulation conditions are highly consistent with the actual operating environment. Then, the simulation program is initiated, controlling all simulated wells to simultaneously or in a predetermined rotation sequence to simulate gas production. During the simulation, the gas production of each simulated well is collected and recorded in real time, and the gas production data of each simulated well is correlated with its location at the wellheads in the reservoir to form a spatial-production database. After the simulation is completed, based on the collected gas production data and the location of the wellheads in rotation, evaluation indicators such as the average gas production rate, gas production fluctuation range, and inter-well interference coefficient under each rotation scheme are calculated.

[0044] Based on the above technical solution, the step of determining the evaluation data of the rotation production scheme according to the gas production and the distribution location of the rotation production wellheads includes: when the gas production corresponding to each simulated well matches the preset gas production threshold, performing rotation production simulation based on the distribution location of the rotation production wellheads and the reservoir simulation model to determine the evaluation data of the rotation production scheme.

[0045] The preset gas production threshold can be the minimum value of the pre-set gas production, for example, it can be 10% of the maximum gas production.

[0046] Specifically, to avoid interference from other factors in the gas production process of the simulated wells, the gas production of each well is monitored in real time. When it matches a preset threshold, the rotation sequence, cycle, and production parameters for each stage, such as pressure and rate, are precisely set in the reservoir simulation model based on the distribution of wellheads. This simulates the impact of inter-well interference effects, pressure propagation patterns, and reservoir heterogeneity on production capacity under different rotation schemes.

[0047] Based on the above technical solution, the step of determining the evaluation data of the rotation production scheme by performing rotation production simulation based on the distribution location of the rotation production wellheads and the reservoir simulation model includes: determining the simulated gas-producing wells and simulated shut-off wells according to the distribution location of the rotation production wellheads, and controlling the simulated shut-off wells to be shut down; collecting gas production parameters corresponding to the simulated wells based on the simulation duration, and determining the evaluation data of the rotation production scheme based on the gas production parameters.

[0048] The gas production parameters include the production curve and the gas production rate. The simulated gas-producing well can be a simulated wellhead that requires gas production operations, while the simulated shut-off well can be a simulated wellhead that does not produce gas. The simulation duration can be a pre-set simulated gas production duration. It should be noted that the simulation duration can be set upon request.

[0049] Specifically, based on the pre-defined distribution of wellheads in the rotation production phase, the simulated wells are divided into two groups: simulated gas-producing wells and simulated shut-off wells. Through the control interface of the reservoir simulation model, the production parameters of the simulated gas-producing wells, such as production pressure and rate, are set. Simultaneously, a shut-off operation is implemented for the simulated shut-off wells, i.e., closing their production valves to block fluid outflow, simulating the actual shut-off process. During the simulation, based on a pre-defined simulation duration (e.g., several hours to several days), production curve data from the simulated gas-producing wells is continuously collected, including changes in the gas production rate over time and the cumulative gas production. Simultaneously, changes in parameters such as pressure and temperature of the simulated shut-off wells are monitored during the shut-off period to evaluate the shut-off effect. After the simulation, the collected gas production parameters are comprehensively analyzed to calculate key indicators such as the average gas production rate, gas production decline rate, and shut-off recovery rate under each rotation production scheme. Combining the morphological characteristics of the production curves, the production capacity stability and efficiency of different rotation production schemes are evaluated.

[0050] For example, it can be combined Figure 2 The solution of the present invention will be further described, such as... Figure 2As shown, five simulated wells, labeled W1, W2, W3, W4, and W5 from left to right, are investigated. The purpose of this study is to investigate the productivity decline patterns and interaction mechanisms of these five wells under a rotational production model, and to find the optimal production process, including when to close which well and when to open which well. Assuming the research objective is alternating production, it should be noted that various research methods are possible, including scenarios where only one well is always in production while the others are in a dormant state, or where two wells are always in production while the other three are in a dormant state. Depending on the set well group pattern and production mode, multiple research schemes can be designed.

[0051] This study assesses the final production capacity by ensuring that two wells are always in production. Gas flow control valves W1, W2, W3, W4, and W5 are opened. While all five wells are producing simultaneously, the gas production of each well is recorded using flow meters. When the gas production decreases to 10% of the maximum production, the control valve of the simulated well is closed, initiating a "steaming" process. After three wells are closed, the opening of the control valves for the remaining two wells is reduced to ensure continued gas production, but at a low rate. For example, W1 and W2 are open, while W3, W4, and W5 are closed. After a certain period of steaming (determined based on experimental results, ranging from several hours to several days), the control valves of the two producing wells are closed, and two of the three steaming wells are opened. For example, W3 and W4 are opened, while W1, W2, and W5 are closed. This process is repeated, opening W5 and W1 while closing W2, W3, and W4, until all five wells have undergone the steaming process. The opening process is slow and small in amplitude to ensure stable gas production. By recording continuous production curves and total gas production, the inter-well interference effect and production capacity release capability under this rotational production mode are obtained. After repeating the sample preparation, based on the selection of 2 wells in production, after all 5 wells have produced to a certain extent, W1 and W3 are first opened, and W1, W4, and W5 are closed. Then, a similar method to the previous experiment is repeated, and the inter-well interference effect and production capacity release capability under this rotational production mode are finally obtained. By setting different rotational production modes under continuous production of 2 wells, it is possible to finally compare which rotational production and shut-down well method is suitable for maximizing the production of this linear well group mode. At this time, multiple sets of repeated tests can be conducted by setting 1 well, 3 wells, 4 wells to always be in continuous production, etc., to finally determine the effect of well opening degree on production capacity during the rotational production of wells. When the linear well group mode is changed, such as the circumferential well group, multiple sets of repeated experiments can be conducted in the same way. This study evaluates the differences in well rotation production modes for hydrate systems under various conditions. Ultimately, it provides strong support for optimizing the process parameters of well rotation production in offshore hydrate systems.

[0052] S130. Based on the evaluation data of the rotation scheme, determine the target well rotation scheme from the at least two well rotation schemes.

[0053] Specifically, the evaluation data for each well rotation plan is compiled, including but not limited to production curve characteristics such as peak gas production rate, decay trend, cumulative gas production, well recovery effect, inter-well interference coefficient, and economic indicators such as unit gas production cost and return on investment. Then, based on the above evaluation data, the performance of each plan in terms of production capacity, efficiency, stability, and economy is quantified. For example, a weighted scoring method can be used to calculate the comprehensive score of each plan, and comparative analysis can be conducted to select the group well rotation plan with the highest score that meets the actual engineering constraints as the target plan.

[0054] The technical solution of this invention involves acquiring reservoir data corresponding to a target area, establishing a reservoir simulation model corresponding to the target area based on the reservoir data, determining evaluation data for rotational production schemes corresponding to at least two well-group rotational production schemes based on the reservoir simulation model, and finally determining a target well-group rotational production scheme from the at least two well-group rotational production schemes based on the evaluation data. Based on this technical solution, by constructing a reservoir simulation model of the corresponding hydrate system based on reservoir data, and then evaluating different rotational production schemes, a rotational production scheme corresponding to the target area can be further determined, thereby improving the extraction efficiency and economic efficiency of natural gas hydrate systems.

[0055] Example 2

[0056] Figure 3 This is a flowchart illustrating a method for determining a hydrate group well rotation production scheme according to an embodiment of this application. Based on the above technical solution, this embodiment further explains the technical solution of establishing a reservoir simulation model corresponding to the target area based on the reservoir data. Figure 3 As shown, it includes:

[0057] S310. Extract hydrate data corresponding to the target region from the reservoir data, and construct a hydrate simulation model based on the hydrate data.

[0058] Hydrate data can be understood as data corresponding to the hydrate system, which may include data such as the thickness, saturation, porosity, and temperature and pressure conditions of the hydrate occurrence layer.

[0059] Specifically, by utilizing geological exploration and well logging data, combined with core analysis results, parameters such as the thickness, saturation, porosity, and temperature and pressure conditions of hydrate-bearing strata in the target area are selected, and then a simulation model of the hydrate system is constructed based on the hydrate data.

[0060] For example, depending on the purpose of the experiment, prefabricated perforated filter screens are first inserted into the main vessel. The number of filter screens is determined according to the research objective, used to simulate production wells. The method can also be adjusted according to actual needs, including but not limited to linear well groups, circumferentially arranged rings, or hexagonal honeycomb mesh arrangements, all of which can meet the experimental requirements.

[0061] use Figure 4 In the main reactor vessel, reservoir particles corresponding to the three layers of the hydrate system are filled into the vessel at the same density. The particle size distribution and composition of the filled particles must also be consistent with the formation. If conditions permit, it is recommended to use in-situ samples to calculate the required liquid and gas injection volumes into the reactor vessel based on the different porosities and water contents of the three layers. The liquid can be NaCl brine or seawater, and the gas can be 99% pure methane gas. In addition to the hydrate layer, water from the lower associated gas layer and shallow gas layer is added proportionally during the sample filling stage. The subsequently injected liquid is mainly used for hydrate synthesis in the top hydrate layer.

[0062] During injection, a circulating bath pump is needed to lower the temperature of the main vessel to the design temperature, which can be 10 degrees Celsius or lower. The typical reservoir temperature range is 6-15 degrees Celsius. Once the temperature is lowered and maintained at the set value, the high-pressure gas and liquid injected through a mass flow pump and a gas booster pump will gradually increase the pressure inside the main vessel. According to the hydrate phase equilibrium curve, under certain low-temperature conditions, hydrates will gradually form once the pressure rises to a certain value.

[0063] Ensure that the injected gas and liquid are introduced slowly, with gas flow not exceeding 5 mL / min and liquid flow not exceeding 3 mL / min. This allows for sufficient movement of the gas and liquid within the sample packing zone inside the main vessel, ensuring that the final hydrate is uniformly dispersed in the simulated hydrate layer, and that methane gas is uniformly dispersed in the associated gas layer and shallow gas layer. The injection process utilizes gas and liquid pumps for precise control of the pumping rate.

[0064] After the simulated wellbore, reservoir, hydrate layer, associated gas layer, and shallow gas layer are completed, the fluid injection pipe is slowly pulled out. It is important that the opening method and length of the fluid injection pipe match the main vessel body. Generally, the un-opened section on the left side of the fluid injection pipe should be as long as possible, and the length of the fluid injection pipe should be 1.5 times that of the vessel body. A thickening layer can be added to the left side of the main vessel body, with the thickness matching the length of the fluid injection pipe. This ensures that the pressure inside the vessel body does not communicate with the outside through the opening in the fluid injection pipe during the extraction process. This is achieved by adding a thickening layer. When the rightmost side of the fluid injection pipe leaves the leftmost inner end face of the main vessel body, the one-way check valve closes, stabilizing the pressure system inside the main vessel body.

[0065] S320. Based on the temperature data in the reservoir data, perform temperature gradient simulation on the hydrate simulation model to determine the reservoir simulation model corresponding to the target region.

[0066] The reservoir simulation model includes at least two simulated wells. Temperature gradient simulation can be a simulation scheme that controls the z-axis temperature gradient of the hydrate simulation model, used to simulate the temperature field of the target region.

[0067] Specifically, based on the temperature data of the target reservoir, similarity criteria are used to power the heating and cooling chambers. A constant simulated geothermal gradient is created along the Z-axis, which can be achieved by taking the vertical temperature distribution curve from the reservoir data and analyzing the temperature variation pattern from shallow to deep layers in the target area. Subsequently, a dynamic temperature field module is embedded into the hydrate simulation model, and the measured temperature data is mapped to a three-dimensional grid using an interpolation algorithm to construct a Z-axis temperature gradient consistent with the actual reservoir. Finally, the model's prediction accuracy for the temperature-driven hydrate decomposition-gas production process is verified through historical data fitting, thus determining a reservoir simulation model that meets the geological conditions.

[0068] The technical solution of this invention involves acquiring reservoir data corresponding to a target area, establishing a reservoir simulation model corresponding to the target area based on the reservoir data, determining evaluation data for rotational production schemes corresponding to at least two well-group rotational production schemes based on the reservoir simulation model, and finally determining a target well-group rotational production scheme from the at least two well-group rotational production schemes based on the evaluation data. Based on this technical solution, by constructing a corresponding hydrate reservoir simulation model based on reservoir data and evaluating different rotational production schemes, a rotational production scheme corresponding to the target area can be further determined, thereby improving the extraction efficiency and economics of natural gas hydrate systems.

[0069] Example 3

[0070] Figure 5 This is a structural block diagram of a device for determining a hydrate well rotation production scheme according to an embodiment of this application. Figure 5 As shown, the device includes: a simulation model construction module 510, an evaluation module 520, and a target solution determination module 530; wherein,

[0071] The simulation model construction module 510 is used to acquire reservoir data corresponding to the target area and establish a reservoir simulation model corresponding to the target area based on the reservoir data, wherein the reservoir simulation model includes at least two simulation wells;

[0072] Evaluation module 520 is used to determine evaluation data of rotation production schemes corresponding to at least two well rotation production schemes based on the reservoir simulation model;

[0073] The target scheme determination module 530 is used to determine a target well rotation scheme from the at least two well rotation schemes based on the rotation scheme evaluation data.

[0074] Based on the above technical solution, the simulation model construction module is used to extract hydrate data corresponding to the target area from the reservoir data, and construct a hydrate simulation model based on the hydrate data; and to perform temperature gradient simulation on the hydrate simulation model based on the temperature data in the reservoir data to determine the reservoir simulation model corresponding to the target area.

[0075] Based on the above technical solution, the evaluation module is used to determine the number of wells to be rotated and the distribution of simulated wells corresponding to the well rotation scheme; determine the distribution location of wellheads to be rotated corresponding to the well rotation scheme based on the number of wells to be rotated and the distribution of simulated wells; and determine the evaluation data of the well rotation scheme corresponding to the well rotation scheme based on the distribution location of wellheads to be rotated.

[0076] Based on the above technical solution, the evaluation module is used to control all simulated wells in the reservoir simulation model to simulate gas production and collect the gas production volume corresponding to each simulated well; and to determine the evaluation data of the rotation production scheme based on the gas production volume and the distribution location of the rotation production wellheads.

[0077] Based on the above technical solution, the evaluation module is used to determine the evaluation data of the rotation production scheme by performing rotation production simulation based on the distribution location of the rotation production wellheads and the reservoir simulation model, when the gas production corresponding to each simulated well matches the preset gas production threshold.

[0078] Based on the above technical solution, the evaluation module is used to determine the simulated gas producing wells and simulated shut-off wells according to the distribution location of the rotating wellheads, and control the simulated shut-off wells to shut down; collect gas production parameters corresponding to the simulated wells based on the simulation duration, and determine the evaluation data of the rotating well scheme according to the gas production parameters, wherein the gas production parameters include the production curve and the gas production volume.

[0079] Based on the above technical solution, the well rotation scheme includes the number of wells to be rotated and the distribution of simulated wells.

[0080] The technical solution of this invention involves acquiring reservoir data corresponding to a target area, establishing a reservoir simulation model corresponding to the target area based on the reservoir data, determining evaluation data for rotational production schemes corresponding to at least two well-group rotational production schemes based on the reservoir simulation model, and finally determining a target well-group rotational production scheme from the at least two well-group rotational production schemes based on the evaluation data. Based on this technical solution, by constructing a corresponding hydrate reservoir simulation model based on reservoir data and then evaluating different rotational production schemes, a rotational production scheme corresponding to the target area can be further determined, thereby improving the extraction efficiency and economic efficiency of natural gas hydrates.

[0081] The apparatus for determining the hydrate group well rotation production scheme provided in the embodiments of the present invention can execute the method for determining the hydrate group well rotation production scheme provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0082] Example 4

[0083] Figure 6 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0084] like Figure 6 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0085] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0086] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the method for determining a hydrate group well rotation production scheme.

[0087] In some embodiments, the method for determining a hydrate group well rotation production scheme can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for determining a hydrate group well rotation production scheme described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for determining a hydrate group well rotation production scheme by any other suitable means (e.g., by means of firmware).

[0088] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0089] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0090] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0091] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0092] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0093] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0094] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0095] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining a hydrate group well rotation production scheme, characterized in that, include: Acquire reservoir data corresponding to the target area, and establish a reservoir simulation model corresponding to the target area based on the reservoir data, wherein the reservoir simulation model includes at least two simulation wells; Based on the reservoir simulation model, determine the evaluation data of the rotation production scheme corresponding to at least two well group rotation production schemes; Based on the evaluation data of the rotation scheme, a target well rotation scheme is determined from the at least two well rotation schemes.

2. The method according to claim 1, characterized in that, The step of establishing a reservoir simulation model corresponding to the target region based on the reservoir data includes: Extract hydrate data corresponding to the target region from the reservoir data, and construct a hydrate simulation model based on the hydrate data; Temperature gradient simulation is performed on the hydrate simulation model based on the temperature data in the reservoir data to determine the reservoir simulation model corresponding to the target region.

3. The method according to claim 1, characterized in that, The step of determining the evaluation data of the rotation production scheme corresponding to at least two well rotation production schemes based on the reservoir simulation model includes: Determine the number of wells to be rotated and the distribution of simulated wells corresponding to the well rotation scheme; and determine the distribution location of wellheads to be rotated according to the number of wells to be rotated and the distribution of simulated wells. Based on the distribution location of the wellheads in the rotational wells, evaluation data for the rotational well scheme corresponding to the group well rotational well scheme is determined.

4. The method according to claim 3, characterized in that, The evaluation data for the rotation production scheme corresponding to the group well rotation production scheme, determined based on the distribution location of the rotation production wellheads, includes: Control all simulated wells in the reservoir simulation model to simulate gas production, and collect the gas production corresponding to each simulated well; The evaluation data for the rotational production scheme is determined based on the gas production volume and the distribution location of the rotational production wellheads.

5. The method according to claim 4, characterized in that, The step of determining the evaluation data for the rotation production scheme based on the gas production volume and the distribution location of the rotation production wellheads includes: If the gas production corresponding to each simulated well matches the preset gas production threshold, the rotation production simulation is performed based on the distribution location of the rotation production wellheads and the reservoir simulation model to determine the evaluation data of the rotation production scheme.

6. The method according to claim 5, characterized in that, The step of determining the evaluation data for the rotation production scheme based on the distribution locations of the rotation wellheads and the reservoir simulation model includes: Based on the distribution location of the rotating wellheads, simulated gas-producing wells and simulated shut-off wells are determined, and the simulated shut-off wells are controlled to be shut down. Based on the simulation duration, gas production parameters corresponding to the simulated well are collected, and the evaluation data of the rotation production scheme is determined according to the gas production parameters. The gas production parameters include the production curve and the gas production rate.

7. The method according to claim 1, characterized in that, The well rotation scheme includes the number of wells to be rotated and the distribution of simulated wells.

8. A device for determining a hydrate group well rotation production scheme, characterized in that, include: The simulation model construction module is used to acquire reservoir data corresponding to the target area and establish a reservoir simulation model corresponding to the target area based on the reservoir data, wherein the reservoir simulation model includes at least two simulation wells; The evaluation module is used to determine the evaluation data of the rotation production scheme corresponding to at least two well rotation production schemes based on the reservoir simulation model; The target scheme determination module is used to determine a target well rotation scheme from the at least two well rotation schemes based on the rotation scheme evaluation data.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, which is executed by the at least one processor to enable the at least one processor to perform the method for determining the hydrate group well rotation production scheme according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the method for determining the hydrate group well rotation production scheme as described in any one of claims 1-7.

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