A method and system for optimizing geothermal resource exploitation scheme

Abstract

The present invention discloses an optimization method and system for geothermal resource exploitation schemes, and relates to the technical field of geothermal resource exploitation. The optimization method comprises: obtaining original data: conducting geological surveys on the target area, obtaining geological data and geothermal resource data of the geothermal area, and using the geological data and geothermal resource data as original data. The present invention divides the target area into several No. 1 areas, evaluates and optimizes the scheme using simulation calculations, and adjusts the layout of the exploitation wells and the reinjection wells and the equipment parameters to achieve a more efficient exploitation effect or a lower cost. Although the calculation accuracy is reduced by dividing the area for calculation, it is a simulation calculation itself, so that the results of the simulation calculation can be effectively referenced, and at the same time, it provides convenience for the calculation of subsequent optimization schemes, and reduces the possibility of calculation errors.

Description

Technical Field

[0001] The present invention relates to the technical field of geothermal resource exploitation, and in particular to an optimization method and system for a geothermal resource exploitation scheme. Background Art

[0002] Before the mining process of geothermal resources is carried out, it is necessary to design a mining plan. Personnel will determine the location of the mining well, return tank well and ground equipment based on the mining plan. After the initial design of the mining plan is completed, the mining plan needs to be analyzed so that it can be optimized later so that the mining plan can meet the needs of users.

[0003] Optimize the layout of geothermal extraction wells to improve extraction efficiency. By setting different extraction well and injection well positions, depths, spacing and other parameters, simulate the geothermal extraction efficiency under different layout schemes, analyze the temperature and flow changes of geothermal fluids under each scheme, and the pressure response of the thermal reservoir. However, the amount of calculation is too large through computer simulation. Through computer simulation of different layout schemes, it is also necessary to optimize the layout scheme, but the amount of calculation is too large, which is easy to cause errors. For this reason, an optimization method and system for geothermal resource extraction schemes are invented. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for optimizing geothermal resource exploitation schemes to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a method for optimizing a geothermal resource exploitation plan, the optimization method comprising:

[0006] Obtaining original data: Conducting geological surveys in the target area to obtain geological data and geothermal resource data of the geothermal area. The geological data and geothermal resource data are used as original data. The geothermal resource data include the flow rate of geothermal fluid, the storage capacity of geothermal fluid, the spatial distribution of geothermal fluid and the temperature data of geothermal fluid;

[0007] Design and input an original plan, design the original plan according to the original data, the original plan includes an overall layout and equipment parameters, the overall layout includes production well location data and reinjection well location data, the equipment parameters include production well operation parameters and reinjection well operation parameters;

[0008] Establishing regions: Divide the target area into several No. 1 regions according to the overall layout and division principles. No. 1 regions include No. 1 initial regions, No. 2 initial regions and blank regions. No. 1 regions with production wells are No. 1 initial regions, and No. 1 regions with reinjection wells are No. 2 initial regions.

[0009] Simulation calculation: simulate and calculate the No. 1 area according to the original plan and original data, calculate the temperature distribution and flow data of geothermal fluid under the No. 1 area, calculate the production volume of the No. 1 initial area and the influence data of the production volume on the temperature distribution and flow of geothermal fluid, calculate the reinjection volume of the No. 2 initial area and the influence data of the reinjection volume on the temperature distribution and flow of geothermal fluid, take the No. 1 initial area and the No. 2 initial area as the starting points, calculate the influence parameters of the No. 1 initial area on the adjacent blank area, calculate the influence parameters of the No. 2 initial area on the adjacent blank area, and obtain the simulation calculation results of the No. 1 area;

[0010] Optimization scheme, the optimization scheme includes optimization layout and optimization equipment parameters, setting and applying bias coefficients, generating several groups of bias coefficients and applying one group of bias coefficients in the original scheme, optimizing the scheme based on the change of bias coefficients, the optimization layout includes adjusting the positions of the No. 1 initial area and the No. 2 initial area in the No. 1 area according to the layout method, and the optimization equipment parameters include adjusting the mining well operation parameters and the reinjection well operation parameters based on the optimization layout to meet the mining demand;

[0011] Repeat simulation calculation and optimization plan: After optimizing the layout and optimizing the equipment parameters, obtain a new optimization plan, simulate the new optimization plan, repeat the simulation calculation and optimization plan, and obtain several optimization plans;

[0012] Output optimization plan.

[0013] Furthermore, the simulation calculation includes revenue calculation, production volume calculation, operation cost calculation and construction cost calculation. The production volume calculation includes calculating the geothermal fluid production volume based on the parameters of the production well and the geothermal fluid detection temperature. The construction cost calculation includes the total cost of establishing the production well and the reinjection well. The operation cost calculation includes the cost of daily operation and maintenance of the production well and the reinjection well. The revenue calculation includes calculating the revenue of production based on the production volume calculation.

[0014] Furthermore, the layout method includes changing the position data of the No. 1 initial area, changing the position data of the No. 2 initial area according to the change of the position data of the No. 1 initial area, and there is a set range between the No. 1 initial area and the No. 2 initial area, and the set range includes a No. 1 range restriction between the center point of the directly adjacent No. 1 initial area and the center point of the No. 2 initial area, a No. 2 range restriction between the two nearest center points of the No. 1 initial area, and a No. 3 range restriction between the two nearest center points of the No. 2 initial area. The method of dividing into several No. 1 areas includes equal hexagonal division areas and rectangular division areas.

[0015] Furthermore, the method for optimizing equipment parameters includes, based on the optimized layout, adjusting the operating parameters of the production well and the reinjection well to meet the production requirements, wherein the production requirements include production volume requirements, revenue requirements and reinjection requirements.

[0016] Furthermore, the layout method also includes setting the priority of changing the position according to the difficulty of drilling in area No. 1, and when the position data of the initial area No. 1 is changed, the area No. 1 with a high priority is used as the first choice.

[0017] Furthermore, the application methods of the bias coefficient include:

[0018] Constructing a fitness function F, mining data E, operation data C and construction cost I, and establishing bias coefficients, the bias coefficients include w1, w2 and w3, and the methods for generating several groups of bias coefficients include manual screening and calculation screening;

[0019] Obtain the fitness function F, F = w1 × E + w2 × C + w3 × I;

[0020] w1, w2 and w3 have a minimum limit and a maximum limit respectively, and the change of the specific values ​​of w1, w2 and w3 cannot be lower than the minimum limit, E, C and I are the simulation calculation results of mining data, operation data and construction cost respectively, the mining data includes mining volume and thermal efficiency, the operation data includes maintenance cost and energy consumption cost, and the construction cost includes the cost of building mining wells, return tank wells and fluid pipelines;

[0021] Based on the original scheme, obtain the specific values ​​of E, C and I, arbitrarily select a set of bias coefficients as the original bias coefficients w1, w2 and w3, and obtain the specific value of F;

[0022] Then select a new set of bias coefficients, and obtain △w1, △w2 and △w3 through the difference between the original bias coefficient and the new bias coefficient. △w1, △w2 and △w3 are positive or negative. Based on the optimization scheme, new E, C and I are obtained. The difference between E, C and I in the original scheme and the optimized scheme is used to obtain △E, △C and △I. △E, △C and △I are positive or negative, and the three values ​​of △E / △w1, △C / △w2 and △I / △w3 are obtained. During the optimization process, the optimization scheme needs to satisfy the fitness function F and the numerical range of F, and at the same time, the three values ​​of △E / △w1, △C / △w2 and △I / △w3 are all within the same restricted numerical range. The restricted numerical range of E is [△E / △w1 (1-0.1), △E / △w1 (1+0.1)], and the restricted numerical range of F is [F (1-0.13), F (1+0.12)].

[0023] Furthermore, the output optimization plan includes a well layout diagram, an operation parameter table, a predicted production volume, and a predicted reinjection volume. The production well operation parameter is the rated velocity of the extraction of geothermal fluid from the production well, and the reinjection well operation parameter is the reinjection volume data.

[0024] A geothermal resource exploitation scheme optimization system uses the above-mentioned geothermal resource exploitation scheme optimization method.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The optimization method and system of the geothermal resource exploitation plan divides the target area into several No. 1 areas, performs simulation calculations based on the No. 1 areas, takes the No. 1 initial area and the No. 2 initial area as the starting points for the initial operation, and calculates the situation of the No. 1 initial area and the No. 2 initial area with respect to the blank area, evaluates and optimizes the plan by simulation calculation, and adjusts the layout of the exploitation well and the reinjection well as the equipment parameters to achieve a more efficient exploitation effect or a lower cost. Although the calculation accuracy is reduced by dividing the area for calculation, it is a simulation calculation itself, so that the results of the simulation calculation can be effectively referenced, and at the same time, it provides convenience for the calculation of subsequent optimization plans, and reduces the possibility of calculation errors.

[0027] At the same time, through the use of bias coefficients, during the optimization process, bias coefficients will also be applied to balance different optimization objectives, such as mining volume, operating costs, construction costs, etc. The bias coefficients allow decision makers to customize optimization plans based on actual needs and goals. In geothermal resource exploitation, there are often multiple conflicting goals, such as maximizing mining volume and minimizing costs, etc. The application of bias coefficients helps to find a balance between these goals, so that the optimization plan can achieve relative optimality in multiple dimensions. By clearly setting and adjusting the bias coefficients, the rationality of the optimization plan is guaranteed.

[0028] Through the setting of fitness function F, when the optimization plan is carried out, the simulation calculation results of the optimization plan are calculated so that the simulation calculation results can meet the fitness function F and the numerical range of F. This design is to make the optimized plan still feasible. At the same time, the minimum setting of w1, w2 and w3 is also for its feasibility. The introduction of fitness function F provides a clear evaluation criterion for the optimization plan. Only when the simulation calculation results meet the set conditions of F, the plan is considered feasible, which improves the practicality and operability of the optimized plan. Fitness function F comprehensively considers multiple aspects such as mining data, operating data and construction costs to ensure that the optimization plan not only improves mining efficiency, but also achieves a better level in cost control and operating benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a flow chart of the present invention;

[0030] Figure 2 It is a schematic diagram of isohexagonal division of regions of the present invention;

[0031] Figure 3 It is a schematic diagram of the rectangular division area of ​​the present invention;

[0032] Figure 4 The figure is a flow chart of applying the biasing coefficient of the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] like Figure 1 - Figure 4 As shown, the present invention provides a technical solution: a method for optimizing a geothermal resource exploitation solution, the optimization method comprising:

[0035] Obtaining original data: Conducting geological surveys in the target area to obtain geological data and geothermal resource data of the geothermal area. The geological data and geothermal resource data are used as original data. The geothermal resource data include the flow rate of geothermal fluid, the storage capacity of geothermal fluid, the spatial distribution of geothermal fluid and the temperature data of geothermal fluid;

[0036] Design and input the original plan, design the original plan according to the original data, the original plan includes the overall layout and equipment parameters, the overall layout includes the location data of the production well and the location data of the reinjection well, and the equipment parameters include the operation parameters of the production well and the operation parameters of the reinjection well;

[0037] Establishing regions: Divide the target area into several No. 1 regions according to the overall layout and division principles. No. 1 regions include No. 1 initial regions, No. 2 initial regions and blank regions. No. 1 regions with production wells are No. 1 initial regions, and No. 1 regions with reinjection wells are No. 2 initial regions.

[0038] Simulation calculation: simulate and calculate the No. 1 area according to the original plan and original data, calculate the temperature distribution and flow data of geothermal fluid under the No. 1 area, calculate the production volume of the No. 1 initial area and the influence data of the production volume on the temperature distribution and flow of geothermal fluid, calculate the reinjection volume of the No. 2 initial area and the influence data of the reinjection volume on the temperature distribution and flow of geothermal fluid, take the No. 1 initial area and the No. 2 initial area as the starting points, calculate the influence parameters of the No. 1 initial area on the adjacent blank area, calculate the influence parameters of the No. 2 initial area on the adjacent blank area, and obtain the simulation calculation results of the No. 1 area;

[0039] Optimization plan, the optimization plan includes optimization layout and optimization equipment parameters, setting and applying bias coefficients, generating several groups of bias coefficients and applying one group of bias coefficients in the original plan, optimizing the plan based on the change of bias coefficients, optimizing layout including adjusting the positions of initial area No. 1 and initial area No. 2 in area No. 1 according to the layout method, optimizing equipment parameters including adjusting the operation parameters of the production well and the operation parameters of the reinjection well based on the optimized layout to meet the production needs;

[0040] Repeat simulation calculation and optimization plan: After optimizing the layout and optimizing the equipment parameters, obtain a new optimization plan, simulate the new optimization plan, repeat the simulation calculation and optimization plan, and obtain several optimization plans;

[0041] Output optimization plan.

[0042] The simulation calculation includes revenue calculation, production volume calculation, operation cost calculation and construction cost calculation. The production volume calculation includes calculating the geothermal fluid production volume based on the parameters of the production well and the geothermal fluid detection temperature. The construction cost calculation includes the total cost of establishing production wells and reinjection wells. The operation cost calculation includes the cost of daily operation and maintenance of production wells and reinjection wells. The revenue calculation includes calculating the production revenue based on the production volume calculation.

[0043] The layout method includes changing the position data of the No. 1 initial area, and changing the position data of the No. 2 initial area according to the change of the position data of the No. 1 initial area. There is a set range between the No. 1 initial area and the No. 2 initial area. The set range includes a No. 1 range restriction between the center point of the directly adjacent No. 1 initial area and the center point of the No. 2 initial area, a No. 2 range restriction between the two nearest center points of the No. 1 initial area, and a No. 3 range restriction between the two nearest center points of the No. 2 initial area. The method of dividing into several No. 1 areas includes equal hexagonal division areas and rectangular division areas.

[0044] The method for optimizing equipment parameters includes, based on the optimized layout, adjusting the operating parameters of the production well and the reinjection well to meet the production needs, which include production volume requirements, revenue requirements and reinjection requirements.

[0045] The layout method also includes setting the priority of changing the position according to the difficulty of drilling in area No. 1. When the position data of the initial area No. 1 is changed, the area No. 1 with a high priority is given as the first choice.

[0046] like Figure 4 As shown, the application methods of the bias coefficient include:

[0047] Constructing a fitness function F, mining data E, operation data C and construction cost I, and establishing bias coefficients, the bias coefficients include w1, w2 and w3, and the methods for generating several groups of bias coefficients include manual screening and calculation screening;

[0048] Obtain the fitness function F, F = w1 × E + w2 × C + w3 × I;

[0049] w1, w2 and w3 have a minimum limit and a maximum limit respectively. The change of the specific values ​​of w1, w2 and w3 cannot be lower than the minimum limit. E, C and I are the simulation calculation results of mining data, operation data and construction cost respectively. The mining data includes mining volume and thermal efficiency, the operation data includes maintenance cost and energy consumption cost, and the construction cost includes the cost of building mining wells, return tank wells and fluid pipelines.

[0050] Based on the original scheme, obtain the specific values ​​of E, C and I, arbitrarily select a set of bias coefficients as the original bias coefficients w1, w2 and w3, and obtain the specific value of F;

[0051] Then select a new set of bias coefficients, and obtain △w1, △w2 and △w3 through the difference between the original bias coefficient and the new bias coefficient. △w1, △w2 and △w3 may be positive or negative. Based on the optimization scheme, new E, C and I are obtained. The difference between E, C and I in the original scheme and the optimized scheme is used to obtain △E, △C and △I. △E, △C and △I may be positive or negative. The three values ​​of △E / △w1, △C / △w2 and △I / △w3 are obtained. The optimization scheme needs to satisfy the fitness function F and the numerical range of F during the optimization process, and at the same time satisfies △E / △w1, △C / △w2 and △I / △w3. The three values ​​of C / △w2 and △I / △w3 are all within the same restricted numerical range. The restricted numerical range of E is [△E / △w1 (1-0.1), △E / △w1 (1+0.1)], and the restricted numerical range of F is [F (1-0.13), F (1+0.12)]. Through the setting of fitness function F, when the optimization plan is carried out, the simulation calculation results of the optimization plan are calculated so that the simulation calculation results can meet the fitness function F and the numerical range of F. This design is to make the optimized plan still feasible. At the same time, the minimum setting of w1, w2 and w3 is also for its feasibility. The introduction of fitness function F provides a clear evaluation criterion for the optimization plan. Only when the simulation calculation results meet the set conditions of F, the plan is considered feasible, which improves the practicality and operability of the optimized plan. Fitness function F comprehensively considers multiple aspects such as mining data, operating data and construction cost, ensuring that the optimization plan not only improves mining efficiency, but also achieves a better level in cost control and operating benefits.

[0052] The output optimization plan includes a well layout diagram, an operation parameter table, a predicted production volume, and a predicted reinjection volume. The production well operation parameter is the rated velocity of the extraction of geothermal fluid from the production well, and the reinjection well operation parameter is the reinjection volume data.

[0053] A geothermal resource exploitation scheme optimization system uses the above-mentioned geothermal resource exploitation scheme optimization method.

[0054] Recharge is a key technical means to achieve sustainable exploitation of hydrothermal geothermal fields. Recharge can also ensure the stability of the geothermal layer. The recharge well will inject cooled geothermal fluid or other fluids into the thermal reservoir, and recharge low-temperature water into the thermal reservoir to ensure the stability of the internal structure of the thermal reservoir.

[0055] Conduct a comprehensive geological survey in the target area to obtain geological data and geothermal resource data of the geothermal area, including the flow rate, storage capacity, spatial distribution and temperature of geothermal fluids. Use geological detection instruments to detect the geological data and geothermal resource data of the geothermal area to accurately determine the location and scale of geothermal resources. The geothermal resource data in the original data is not entirely obtained by geological surveys. Some data also need to be obtained through calculations, such as the recoverable resources of geothermal fluids. There are existing technologies for calculating the recoverable resources of geothermal fluids. The recoverable resources of geothermal fluids are calculated in order to calculate the subsequent mining costs.

[0056] There are restrictions on the spacing between production wells, the distance between reinjection wells, and the distance between production wells and reinjection wells. Therefore, range limits No. 1, No. 2, and No. 3 are set. When optimizing the layout, range limits No. 1, No. 2, and No. 3 need to be followed. When optimizing the layout, the corresponding priority is established based on the difficulty of drilling. The easier the drilling, the higher the priority. The difficulty of drilling can be known through geological data. The difficulty of drilling will directly affect the drilling cost. Therefore, places where drilling is easy are given priority. At the same time, when optimizing the layout, production wells are given priority for position changes. After the position of the production well is changed, the position data of the return tank well is changed. Methods for optimizing the well location layout include moving the well location to an area closer to the thermal reservoir or fluid migration channel.

[0057] The simulation calculation results include mining volume, operating costs and construction costs. At the same time, mining efficiency can also be simulated and calculated. It can also be added to the simulation calculation to obtain the corresponding simulation calculation results. Other parameters that can be added for simulation calculation include the impact parameters of the No. 1 initial area on the adjacent blank area and the impact parameters of the No. 2 initial area on the adjacent blank area. The impact parameters include temperature gradient change data, pressure distribution change data, geothermal fluid migration data, etc.

[0058] The original plan is a preliminary setting of the layout of the extraction wells and reinjection wells based on geological data and geothermal resource data. The personnel can design based on experience, and the original plan will be optimized later, but it is necessary to ensure that the original plan is feasible. The setting of the bias coefficient can be done by manually selecting several sets of bias coefficients, or by using a computer's random algorithm to select several sets of bias coefficients. The layout and equipment parameters are optimized based on the bias coefficients. When optimizing the plan, it is inconvenient to continuously optimize a plan. By changing the specific values ​​in the bias coefficients, different optimized plans are generated for the original plan through different bias coefficients. Continuously and repeatedly optimizing the same plan may take a lot of time and computing resources. By adjusting the bias coefficient to generate different plans, more optimization directions can be explored as much as possible in a relatively short period of time, so as to more efficiently find solutions that meet different needs. Continuously and repeatedly optimizing in one direction may make the solution tend to the local optimum, while ignoring other possible excellent plans. The design plan needs to take other aspects into consideration during the local optimization process. By adjusting the bias coefficients, multiple different optimization plans are generated. These plans focus on different optimization goals (such as minimizing operating costs, minimizing construction costs, and To maximize mining efficiency), users can choose the optimization scheme that meets the requirements from different optimization schemes according to their own needs, and constantly select the weight coefficient to obtain different optimization schemes. The positive and negative conditions of △E, △C and △I are from the user's perspective. When I in the original cost method is greater than I in the optimization scheme, △I is positive at this time. It is necessary to achieve that the three values ​​of △E / △w1, △C / △w2 and △I / △w3 are all within the same restricted value range. The positive and negative conditions of △E, △C and △I are the same as those of △w1, △w2 and △w3. The positive and negative conditions can intuitively indicate whether it is local forward optimization or local reverse optimization. When using bias coefficients, avoid repeatedly applying the same set of bias coefficients. Through the use of bias coefficients, in the optimization process, bias coefficients will also be applied to balance different optimization objectives, such as production volume, operating costs, construction costs, etc. The bias coefficients allow decision makers to customize optimization plans based on actual needs and goals. In geothermal resource exploitation, there are often multiple conflicting goals, such as maximizing production volume and minimizing costs, etc. The application of bias coefficients helps to find a balance between these goals, so that the optimization plan can achieve relative optimality in multiple dimensions. By clearly setting and adjusting the bias coefficients, the rationality of the optimization plan is guaranteed.

[0059] Adjustment of the bias coefficient allows decision makers to customize optimization plans based on different priorities or preferences. If they pay more attention to economic benefits, they can increase the bias coefficient of operating costs accordingly. This flexibility makes the optimization process more in line with actual needs and preferences, so that users can optimize plans according to their own needs. By adjusting the bias coefficient to generate multiple plans, decision makers can examine the trade-offs and choices between different plans from a global perspective, which helps to better understand the relationship between various optimization objectives and facilitate decision makers to make choices. By adjusting different bias coefficients, different optimization layouts and optimization equipment parameter plans can be generated.

[0060] By dividing the target area into several No. 1 areas, simulation calculations are performed based on No. 1 areas, and initial areas No. 1 and No. 2 are used as the starting points for the initial operation. The situation of initial areas No. 1 and No. 2 relative to blank areas is calculated, and the scheme is evaluated and optimized using simulation calculations. By adjusting the layout of production wells and reinjection wells and equipment parameters, more efficient production effects or lower costs can be achieved. Although the calculation accuracy is reduced by dividing the area for calculation, it is a simulation calculation itself, so that the results of the simulation calculation can be effectively used for reference, and at the same time it provides convenience for the calculation of subsequent optimization schemes, while reducing the possibility of calculation errors.

[0061] Reinjection low-temperature water refers to geothermal fluid after absorbing energy, or other fluids are injected into the geothermal layer. During the movement of the reinjection low-temperature water toward the production well, it is heated by convection heat conduction, and the temperature is basically consistent with the reservoir temperature when it reaches the production well.

[0062] The efficiency of geothermal resource extraction can be improved by optimizing the layout. By optimizing the well layout, areas rich in geothermal resources can be located more accurately, thereby improving extraction efficiency. This can not only reduce waste in the drilling process, but also ensure the stable operation and efficient output of geothermal wells, and reduce extraction costs. Reasonable well layout helps to reduce unnecessary drilling and extraction costs. By optimizing the layout, drilling in resource-poor or geologically unfavorable areas can be avoided, thereby reducing extraction risks and costs and ensuring sustainable development. Optimizing the well layout takes into account the sustainable use of geothermal resources. By reasonably planning the location and To ensure that the mining demand can still be met when the demand grows in the future, and to avoid resource depletion caused by over-exploitation, the target area is simulated and calculated according to the original plan and original data. The situation data of geothermal fluid in the target area is calculated through the mining well location data, reinjection well location data, mining well operation parameters, reinjection well operation parameters and original data in the original plan. The situation data includes operating costs, mining volume and reinjection volume. The areas in the geothermal area including mining wells or injection wells are set as initial area No. 1 and initial area No. 2. The original plan includes the mining and injection well distance, which is the distance between the mining well and the reinjection well.

[0063] When the operating parameters of a single production well in a single No. 1 area are small, the number of equipment in the production well can be increased to increase the operating parameters of the production wells in the No. 2 area to meet the demand. The equal hexagonal division can ensure that the size and shape of each area are relatively consistent, which is convenient for resource assessment and the formulation of production plans. The equal hexagon is one of the polygons that can most effectively fill the plane. This division method can minimize the uncovered area. The rectangular division method is simple and intuitive, easy to implement and manage. The distribution of geothermal resources may present a more regular pattern. Rectangular division can better adapt to this distribution characteristic. The data processing and model construction of the rectangular area are relatively simple, which is convenient for subsequent analysis and optimization.

[0064] The No. 2 simulation parameters of the No. 2 initial area are obtained, a well network line is established between adjacent No. 1 initial areas, and adjacent No. 2 initial areas are connected to establish a well network line; a fluid migration channel is set on the well network line, and the establishment of the fluid migration channel is the calculation range of the construction cost.

[0065] The distance between production and injection wells should be controlled. The injected cold geothermal fluid will reduce the temperature of the overall geothermal fluid in the geothermal layer. The geothermal effect will heat the cold geothermal fluid, so that when the cold geothermal fluid flows to the production well, its temperature will rise to the same level as the surrounding geothermal fluid. The underground production and injection volume should be balanced, and the pressure of the geothermal flow field of the entire well group should be balanced. Secondly, production wells and reinjection wells are not interchangeable. Once a reinjection well is determined, it should be used as a reinjection well for a long time and cannot be easily changed to a production well. This is because the reinjected low-temperature water after the reinjection well needs to undergo a long period of heat exchange before the temperature can gradually recover. Therefore, the distance between production and injection wells needs to be limited to avoid the geothermal fluid being collected by the production well before the temperature has recovered due to the small distance between production and injection wells.

[0066] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A method for optimizing a geothermal resource exploitation scheme, characterized in that: The optimization method comprises: Obtaining original data: Conducting geological surveys in the target area to obtain geological data and geothermal resource data of the geothermal area. The geological data and geothermal resource data are used as original data. The geothermal resource data include the flow rate of geothermal fluid, the storage capacity of geothermal fluid, the spatial distribution of geothermal fluid and the temperature data of geothermal fluid; Design and input an original plan, design the original plan according to the original data, the original plan includes an overall layout and equipment parameters, the overall layout includes production well location data and reinjection well location data, the equipment parameters include production well operation parameters and reinjection well operation parameters; Establishing regions: Divide the target area into several No. 1 regions according to the overall layout and division principles. No. 1 regions include No. 1 initial regions, No. 2 initial regions and blank regions. No. 1 regions with production wells are No. 1 initial regions, and No. 1 regions with reinjection wells are No. 2 initial regions. Simulation calculation: simulate and calculate the No. 1 area according to the original plan and original data, calculate the temperature distribution and flow data of geothermal fluid under the No. 1 area, calculate the production volume of the No. 1 initial area and the influence data of the production volume on the temperature distribution and flow of geothermal fluid, calculate the reinjection volume of the No. 2 initial area and the influence data of the reinjection volume on the temperature distribution and flow of geothermal fluid, take the No. 1 initial area and the No. 2 initial area as the starting points, calculate the influence parameters of the No. 1 initial area on the adjacent blank area, calculate the influence parameters of the No. 2 initial area on the adjacent blank area, and obtain the simulation calculation results of the No. 1 area; Optimization scheme, the optimization scheme includes optimization layout and optimization equipment parameters, setting and applying bias coefficients, generating several groups of bias coefficients and applying one group of bias coefficients in the original scheme, optimizing the scheme based on the change of bias coefficients, the optimization layout includes adjusting the positions of the No. 1 initial area and the No. 2 initial area in the No. 1 area according to the layout method, and the optimization equipment parameters include adjusting the mining well operation parameters and the reinjection well operation parameters based on the optimization layout to meet the mining demand; Repeat simulation calculation and optimization plan: After optimizing the layout and optimizing the equipment parameters, obtain a new optimization plan, simulate the new optimization plan, repeat the simulation calculation and optimization plan, and obtain several optimization plans; Output optimization plan; The simulation calculation includes revenue calculation, production volume calculation, operation cost calculation and construction cost calculation. The production volume calculation includes calculating the production volume of geothermal fluid based on the parameters of the production well and the detected temperature of the geothermal fluid. The construction cost calculation includes the total cost of establishing the production well and the reinjection well. The operation cost calculation includes the cost of daily operation and maintenance of the production well and the reinjection well. The revenue calculation includes calculating the revenue of the production based on the production volume calculation. The layout method includes changing the position data of the first initial area, and changing the position data of the second initial area according to the change of the position data of the first initial area. There is a set range between the first initial area and the second initial area, and the set range includes a first range restriction between the nearest center point of the first initial area and the center point of the second initial area, a second range restriction between the two nearest center points of the first initial area, and a third range restriction between the two nearest center points of the second initial area.

2. The method for optimizing a geothermal resource exploitation scheme according to claim 1, characterized in that: The method for optimizing equipment parameters includes, based on the optimized layout, adjusting the operating parameters of the production well and the reinjection well to meet the production requirements, wherein the production requirements include production volume requirements, revenue requirements and reinjection requirements.

3. The method for optimizing a geothermal resource exploitation scheme according to claim 1, characterized in that: The layout method also includes setting the priority of changing the position according to the difficulty of drilling in area No. 1, and when the position data of the initial area No. 1 is changed, the area No. 1 with a high priority is used as the first choice.

4. The method for optimizing a geothermal resource exploitation scheme according to claim 1, characterized in that: The application methods of the bias factor include: Constructing a fitness function F, mining data E, operation data C and construction cost I, and establishing bias coefficients, the bias coefficients include w1, w2 and w3, and the methods for generating several groups of bias coefficients include manual screening and calculation screening; Obtain the fitness function F, F = w1 × E + w2 × C + w3 × I; w1, w2 and w3 have a minimum limit and a maximum limit respectively, and the change of the specific values ​​of w1, w2 and w3 cannot be lower than the minimum limit, E, C and I are the simulation calculation results of mining data, operation data and construction cost respectively, the mining data includes mining volume and thermal efficiency, the operation data includes maintenance cost and energy consumption cost, and the construction cost includes the cost of building mining wells, return tank wells and fluid pipelines; Based on the original scheme, obtain the specific values ​​of E, C and I, arbitrarily select a set of bias coefficients as the original bias coefficients w1, w2 and w3, and obtain the specific value of F; Then select a new set of bias coefficients, and obtain △w1, △w2 and △w3 through the difference between the original bias coefficient and the new bias coefficient. △w1, △w2 and △w3 are positive or negative. Based on the optimization scheme, new E, C and I are obtained. The difference between E, C and I in the original scheme and the optimized scheme is used to obtain △E, △C and △I. △E, △C and △I are positive or negative, and the three values ​​of △E / △w1, △C / △w2 and △I / △w3 are obtained. During the optimization process, the optimization scheme needs to satisfy the fitness function F and the numerical range of F, and at the same time, the three values ​​of △E / △w1, △C / △w2 and △I / △w3 are all within the same restricted numerical range. The restricted numerical range of E is [△E / △w1 (1-0.1), △E / △w1 (1+0.1)], and the restricted numerical range of F is [F (1-0.13), F (1+0.12)].

5. The method for optimizing a geothermal resource exploitation scheme according to claim 1, characterized in that: The output optimization plan includes a well layout diagram, an operation parameter table, a predicted production volume, and a predicted reinjection volume. The production well operation parameter is the rated velocity of the extraction of geothermal fluid from the production well, and the reinjection well operation parameter is the reinjection volume data.

6. A geothermal resource exploitation scheme optimization system, characterized in that: A method for optimizing a geothermal resource exploitation scheme as described in any one of claims 1-5 is used.

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