Heat extraction strategy generation method, system, device and medium based on geological reservoir analysis

Abstract

The application belongs to the technical field of geothermal energy development and utilization, and particularly relates to a heat extraction strategy generation method, system, device and medium based on geological reservoir analysis, which comprises the following steps: collecting the initial temperature of an initial exploitation reservoir and dividing the initial temperature; determining the heat demand and the initial water flow rate corresponding to the target exploitation reservoir; respectively setting temperature sensors, pressure sensors and electromagnetic flowmeters in the corresponding target exploitation reservoir to collect real-time parameters of each layer in real time; establishing a quantitative relationship between the water flow rate and the key parameters based on a preset collection principle; determining the target water flow rate based on the real-time parameters and the quantitative relationship, and dynamically adjusting the initial water flow rate based on the variable frequency submersible pump and the electric regulating valve according to the target water flow rate; determining the pipeline fouling parameters and the real-time parameter changes and performing analysis, adjusting the quantitative relationship based on the analysis result, and adjusting the preset frequency based on the real-time parameter change analysis result. The application can significantly improve the geothermal heat exchange efficiency.

Description

Technical Field

[0001] This application belongs to the field of geothermal energy development and utilization technology, and in particular relates to methods, systems, equipment and media for generating heat extraction strategies based on geological reservoir analysis. Background Technology

[0002] In geothermal energy development, the geothermal heat exchange system is the core component for realizing the extraction and utilization of heat energy.

[0003] In existing technologies, the water extraction rate of geothermal heat exchange systems is often adjusted using a fixed value or only a single parameter (such as total flow rate), without fully considering the significant differences in temperature, pressure, and heat capacity of hot water in different geological formations. This extensive control method leads to the following problems: First, the heat exchange efficiency is low, and the thermal energy of high-temperature and high-capacity strata is not fully utilized, while low-temperature strata may be over-exploited. Secondly, the formation stability is damaged, and a fixed flow velocity may lead to local pressure imbalance, which may cause formation subsidence or depletion of hot water resources.

[0004] Therefore, there is an urgent need for a technical solution that can dynamically adjust the heat extraction strategy according to the characteristics of the geological reservoir. Summary of the Invention

[0005] To address the aforementioned issues, this application provides a method, system, equipment, and medium for generating heat extraction strategies based on geological reservoir analysis. Through real-time monitoring and dynamic modeling of multi-dimensional geological parameters, it enables precise control of water flow velocity, significantly improving geothermal heat exchange efficiency and ensuring formation stability.

[0006] In a first aspect, this application provides a method for generating a heat extraction strategy based on geological reservoir analysis, the method comprising, The initial mining reservoir corresponding to the area to be mined is collected, the initial temperature corresponding to the initial mining reservoir is determined, and the initial mining reservoir is divided based on the initial temperature to obtain the target mining reservoir. Determine the heat demand and initial water flow velocity corresponding to the target exploitation reservoir based on the initial temperature; Temperature sensors, pressure sensors, and electromagnetic flow meters are respectively installed in the corresponding target mining reservoirs to collect real-time temperature, pressure, and flow parameters of each layer based on a preset frequency. A quantitative relationship between water flow velocity and key parameters is established based on preset data collection principles; Based on the real-time temperature, pressure and flow parameters of each layer and the quantification relationship, the target water flow velocity is determined, and the initial water flow velocity is dynamically adjusted according to the target water flow velocity based on the variable frequency submersible pump and electric regulating valve set in each target layer. The scaling parameters and real-time parameter changes of the pipelines corresponding to each target mining reservoir are determined and analyzed. The quantitative relationship is adjusted based on the analysis results of the scaling parameters, and the preset frequency is adjusted based on the analysis results of the real-time parameter changes.

[0007] Furthermore, Based on preset data collection principles, a quantitative relationship between water flow velocity and key parameters is established, specifically including: , In the formula, The heat demand allocated for the target reservoir of layer i, where C is the specific heat capacity of water, ρ is the density of water, and A i Let T be the area of ​​the heat exchange section of the target reservoir in the i-th layer. i Let T be the hot water temperature corresponding to the i-th target reservoir. 回水 Let η be the return water temperature after heat exchange corresponding to the i-th target reservoir, and η be the heat exchange efficiency correction coefficient.

[0008] Furthermore, The heat demand and initial water flow velocity corresponding to the target exploitable reservoir are determined based on the initial temperature, specifically including: The heat capacity of each target mining reservoir is determined based on the initial temperature, wherein the heat capacity is positively correlated with the initial temperature; Calculate the heat capacity percentage, and based on the heat capacity percentage, break down the total load at the end to obtain the heat demand corresponding to each target exploited reservoir; The initial water flow velocity is determined by matching the heat capacity ratio with historical mining data.

[0009] Furthermore, Determine and analyze the pipe scaling parameters and real-time parameter changes corresponding to each target exploitation reservoir, specifically including: The pressure difference is calculated by collecting real-time pressure values ​​at the pipeline inlet and outlet using pressure sensors in each target reservoir. The pipeline scaling parameters are then determined based on the pressure difference, and these parameters are positively correlated with the pressure difference. Temperature change curves are plotted based on several real-time temperature values, and the temperature change curves are analyzed to obtain temperature analysis results. Flow rate change curves are plotted based on several flow rate parameters, and the flow rate change curves are analyzed to obtain flow rate analysis results.

[0010] Furthermore, Adjusting the quantitative relationship based on the analysis results of pipe scaling parameters specifically includes: Compare the scaling parameters of the pipeline with the preset scaling parameter thresholds to obtain the scaling comparison results; When the scaling parameters of the pipeline are greater than or equal to the preset scaling parameter threshold, the heat exchange efficiency correction coefficient is adjusted.

[0011] Furthermore, Adjusting the preset frequency based on real-time parameter change analysis results specifically includes: Determine the temperature change trend based on the temperature analysis results; Determine the trend of traffic changes based on the results of traffic analysis; When the temperature or flow rate changes are unstable, adjust the preset frequency.

[0012] Furthermore, When the temperature or flow rate changes are unstable, the preset frequency is adjusted, specifically including: Determine the degree of fluctuation in the temperature change trend and the flow rate change trend; The fluctuation level is compared with a preset level, an adjustment coefficient is determined based on the comparison result, and the preset frequency is increased based on the adjustment coefficient.

[0013] Secondly, based on the same inventive concept, this application provides a heat extraction strategy generation system based on geological reservoir analysis, the system comprising: The reservoir segmentation module is used to collect the initial mining reservoirs corresponding to the area to be mined, determine the initial temperature corresponding to the initial mining reservoirs, and segment the initial mining reservoirs based on the initial temperature to obtain the target mining reservoirs. The determination module is used to determine the heat demand and initial water flow rate of the target reservoir based on the initial temperature; The parameter acquisition module is used to set temperature sensors, pressure sensors and electromagnetic flow meters in the corresponding target mining reservoirs to collect real-time temperature values, real-time pressure values ​​and flow parameters of each layer based on a preset frequency. A module is established to create a quantitative relationship between water flow velocity and key parameters based on preset acquisition principles; The control module is used to determine the target water flow velocity based on the real-time temperature, pressure and flow parameters of each layer and the quantification relationship, and to dynamically adjust the initial water flow velocity according to the target water flow velocity based on the variable frequency submersible pump and electric regulating valve set in each target layer. The parameter adaptation module is used to determine and analyze the pipe scaling parameters and real-time parameter changes corresponding to each target mining reservoir, adjust the quantification relationship based on the pipe scaling parameter analysis results, and adjust the preset frequency based on the real-time parameter change analysis results.

[0014] Thirdly, this application also provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When the processor executes the program stored in the memory, it implements the steps of any of the heat extraction strategy generation methods based on geological reservoir analysis as described above.

[0015] Fourthly, this application also provides a computer storage medium storing a computer program, which, when executed by a processor, implements the steps of any of the above-described methods for generating a heat extraction strategy based on geological reservoir analysis.

[0016] Compared with the prior art, this application has the following advantages: 1. This application achieves refined identification and differentiated utilization of underground thermal reservoir resources by dividing the reservoir based on initial temperature and independently calculating the heat demand, setting initial parameters, and deploying monitoring equipment for each target exploitation reservoir. By combining real-time monitoring data with an established quantitative model to dynamically adjust water flow velocity, the targeting and overall efficiency of thermal energy extraction are significantly improved.

[0017] 2. This application establishes a quantitative relationship between water flow velocity and key parameters such as heat demand, temperature difference, and heat exchange area, thereby establishing the heat extraction strategy on a clear physical principle. It not only relies on real-time data feedback, but also uses model calculations to determine the target water flow velocity, guiding the variable frequency submersible pump and electric regulating valve to make precise adjustments, thus improving the scientific nature and reliability of the system operation.

[0018] 3. This application assesses scaling by analyzing pipeline pressure differences and adjusts key coefficients in the quantification model accordingly, enabling it to adapt to performance degradation caused by changes in geological environment or long-term operation. Simultaneously, by analyzing real-time trends in temperature and flow, it dynamically adjusts data acquisition frequency, optimizing resources when the system is running smoothly and strengthening monitoring during abnormal fluctuations, thus providing state awareness and early warning, and improving system robustness and maintenance timeliness.

[0019] 4. By precisely matching the heat output and demand of each reservoir, over-exploitation or under-exploitation is avoided, which helps to maintain the long-term stability of reservoir thermal pressure.

[0020] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 A flowchart illustrating the method for generating heat extraction strategies based on geological reservoir analysis is shown. Figure 2 A structural block diagram of a heat extraction strategy generation system based on geological reservoir analysis is shown. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0024] Figure 1 A flowchart illustrating a method for generating a heat extraction strategy based on geological reservoir analysis according to an embodiment of this application is shown, as follows: Figure 1 As shown in the embodiment of this application, the method for generating a heat extraction strategy based on geological reservoir analysis includes, S1, collect the initial mining reservoir corresponding to the area to be mined, determine the initial temperature corresponding to the initial mining reservoir, divide the initial mining reservoir based on the initial temperature, and obtain the target mining reservoir.

[0025] In this embodiment of the application, reservoirs with an initial temperature ≥90°C are classified as high-temperature layers; Reservoirs with an initial temperature of 60℃ to 90℃ are classified as mesothermal reservoirs. Reservoirs with an initial temperature ≤60℃ are classified as low-temperature zones.

[0026] Each type of target reservoir contains at least one independent hydrothermal layer. The classification is based on the use of temperature differences to achieve stratified heat extraction, prioritizing the efficient use of high-temperature heat sources.

[0027] S2, determine the heat demand and initial water flow velocity corresponding to the target mining reservoir based on the initial temperature; In this embodiment of the application, step S2 specifically includes: The heat capacity of each target mining reservoir is determined based on the initial temperature, wherein the heat capacity is positively correlated with the initial temperature; Calculate the heat capacity percentage, and based on the heat capacity percentage, break down the total load at the end to obtain the heat demand corresponding to each target exploited reservoir; The initial water flow velocity is determined by matching the heat capacity ratio with historical mining data.

[0028] In this embodiment, a target exploitable reservoir with an initial temperature ≥90℃ is defined as a high-temperature layer, with a total heat capacity ratio ≥60%; a target exploitable reservoir with an initial temperature between 60℃ and 90℃ is defined as a medium-temperature layer, with a heat capacity ratio between 20% and 40%; and a target exploitable reservoir with an initial temperature ≤60℃ is defined as a low-temperature layer, with a heat capacity ratio not exceeding 20%. When allocating the total load at the end based on the heat capacity ratio, the high-temperature layer receives the highest heat demand, followed by the medium-temperature layer, and the low-temperature layer receives the lowest.

[0029] When matching historical mining data, priority is given to the mining case that is closest to the current heat capacity ratio of each layer. The water flow velocity in that case is used as the reference value for the initial water flow velocity.

[0030] S3, temperature sensors, pressure sensors and electromagnetic flow meters are set in the corresponding target mining reservoirs to collect real-time temperature, pressure and flow parameters of each layer based on a preset frequency. S4, establish the quantitative relationship between water flow velocity and key parameters based on preset acquisition principles; In this embodiment of the application, step S4 specifically includes: , In the formula, The heat demand allocated for the target reservoir of layer i, where C is the specific heat capacity of water, ρ is the density of water, and A i Let T be the area of ​​the heat exchange section of the target reservoir in the i-th layer. i Let T be the hot water temperature corresponding to the i-th target reservoir. 回水 Let η be the return water temperature after heat exchange corresponding to the i-th target reservoir, and η be the heat exchange efficiency correction coefficient.

[0031] In the embodiments of this application, The total load at the terminal is divided according to the proportion of heat capacity of each layer, such as the high-temperature layer accounting for ≥60%; C is the specific heat capacity of water, which is 4.2 kJ / (kg•℃); ρ is the density of water, which is 1000 kg / m³. 3 ; A i The area of ​​the heat exchange section of the target reservoir in the i-th layer is determined by the pipe diameter and length. T 回水 Set to 40℃; η is the heat exchange efficiency correction coefficient, which is taken as 0.8~1.0.

[0032] S5. Based on the real-time temperature value, real-time pressure value, and flow parameters of each layer and the quantification relationship, determine the target water flow velocity, and dynamically adjust the initial water flow velocity according to the target water flow velocity based on the variable frequency submersible pump and electric regulating valve set in each target layer. In this embodiment, the adjustment is achieved by changing the rotational speed of the variable frequency submersible pump and adjusting the opening of the electric regulating valve (accuracy ±1%) to ensure that the flow rate accurately matches the target value S6. The scaling parameters of the pipeline corresponding to each target mining reservoir and the real-time parameter changes are determined and analyzed. The quantitative relationship is adjusted based on the analysis results of the scaling parameters of the pipeline, and the preset frequency is adjusted based on the analysis results of the real-time parameter changes.

[0033] In this embodiment of the application, step S6 specifically includes: The pressure difference is calculated by collecting real-time pressure values ​​at the pipeline inlet and outlet using pressure sensors in each target reservoir. The pipeline scaling parameters are then determined based on the pressure difference, and these parameters are positively correlated with the pressure difference. Temperature change curves are plotted based on several real-time temperature values, and the temperature change curves are analyzed to obtain temperature analysis results. Based on several flow parameters, a flow change curve is plotted, the flow change curve is analyzed, and the flow analysis results are obtained. Compare the scaling parameters of the pipeline with the preset scaling parameter thresholds to obtain the scaling comparison results; When the scaling parameters of the pipeline are greater than or equal to the preset scaling parameter threshold, the heat exchange efficiency correction coefficient is adjusted. Determine the temperature change trend based on the temperature analysis results; Determine the trend of traffic changes based on the results of traffic analysis; When the temperature or flow rate changes are unstable, adjust the preset frequency.

[0034] When the temperature or flow rate changes are unstable, the preset frequency is adjusted, specifically including: Determine the degree of fluctuation in the temperature change trend and the flow rate change trend; The fluctuation level is compared with a preset level, an adjustment coefficient is determined based on the comparison result, and the preset frequency is increased based on the adjustment coefficient.

[0035] In this embodiment of the application, when the scale thickness is greater than or equal to the preset scale parameter threshold, η is fixedly adjusted to 0.8; When the scale thickness is less than the preset scale parameter threshold, η is dynamically adjusted according to the formula: η = 0.9 - 0.05 × scale thickness (scale thickness unit: mm). For example, when the scale thickness is 1 mm, η = 0.9 - 0.05 × 1 = 0.85.

[0036] The scale thickness is calculated based on the pressure difference between the inlet and outlet of the pipeline (e.g., for every 0.1 MPa increase in pressure difference, the scale thickness increases by 0.5 mm).

[0037] In this embodiment of the application, when the fluctuation level is "severe" (e.g., temperature fluctuation ≥3°C within 1 hour, flow fluctuation ≥10%), the adjustment coefficient is 1.5 (corresponding to a 50% increase). When the fluctuation level is "slight" (e.g., temperature fluctuates by 1℃~3℃ within 1 hour, flow rate fluctuates by 5%~10%), the adjustment coefficient is 1.2 (corresponding to an increase of 20%).

[0038] Based on the original preset frequency (e.g., 1 time / 10 minutes), calculate the new frequency according to the adjustment factor: If the adjustment factor is 1.5, the new frequency is equal to the original frequency multiplied by 1.5 (e.g., from 10 minutes / time to approximately 6.67 minutes / time, which is an increase of 50%). If the adjustment factor is 1.2, the new frequency is equal to the original frequency multiplied by 1.2 (e.g., from 10 minutes / time to approximately 8.33 minutes / time, which is an increase of 20%).

[0039] The purpose of increasing the frequency is to enhance the data acquisition density when parameters fluctuate, thereby ensuring timely regulation.

[0040] Based on the above method, this application also provides a heat extraction strategy generation system based on geological reservoir analysis, corresponding to the above method. Figure 2 A structural block diagram of the heat extraction strategy generation system based on geological reservoir analysis is shown. (See [link]) Figure 2 As shown, the system includes, The reservoir segmentation module 10 is used to collect the initial mining reservoir corresponding to the area to be mined, determine the initial temperature corresponding to the initial mining reservoir, segment the initial mining reservoir based on the initial temperature, and obtain the target mining reservoir. Module 20 is used to determine the heat demand and initial water flow velocity corresponding to the target mining reservoir based on the initial temperature. The parameter acquisition module 30 is used to set temperature sensors, pressure sensors and electromagnetic flow meters in the corresponding target mining reservoirs to collect real-time temperature values, real-time pressure values ​​and flow parameters of each layer based on a preset frequency. Module 40 is established to create a quantitative relationship between water flow velocity and key parameters based on preset acquisition principles. The control module 50 is used to determine the target water flow velocity based on the real-time temperature value, real-time pressure value and flow parameters of each layer and the quantification relationship, and to dynamically adjust the initial water flow velocity based on the variable frequency submersible pump and electric regulating valve set in each target layer according to the target water flow velocity. The parameter adaptation module 60 is used to determine and analyze the pipe scaling parameters and real-time parameter changes corresponding to each target mining reservoir, adjust the quantification relationship based on the pipe scaling parameter analysis results, and adjust the preset frequency based on the real-time parameter change analysis results.

[0041] Based on the same inventive concept disclosed above, this application also provides an electronic device. The electronic device of this application includes at least one processor and at least one memory electrically connected to the processor. The memory is electrically connected to the processor, wherein the memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method described above.

[0042] It should be noted that the electrical connections between the above-mentioned units do not necessarily represent the connections between lines. Indirect connections are applicable to the embodiments of this application as long as they achieve the purpose of this application.

[0043] Based on the same inventive concept, this application also provides a computer storage medium storing a computer program, which, when executed by a processor, implements the steps of the above method.

[0044] Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for generating heat extraction strategies based on geological reservoir analysis, characterized in that, The method includes, The initial mining reservoir corresponding to the area to be mined is collected, the initial temperature corresponding to the initial mining reservoir is determined, and the initial mining reservoir is divided based on the initial temperature to obtain the target mining reservoir. Determine the heat demand and initial water flow velocity corresponding to the target exploitation reservoir based on the initial temperature; Temperature sensors, pressure sensors, and electromagnetic flow meters are respectively installed in the corresponding target mining reservoirs to collect real-time temperature, pressure, and flow parameters of each layer based on a preset frequency. A quantitative relationship between water flow velocity and key parameters is established based on preset data collection principles; Based on the real-time temperature, pressure and flow parameters of each layer and the quantification relationship, the target water flow velocity is determined, and the initial water flow velocity is dynamically adjusted according to the target water flow velocity based on the variable frequency submersible pump and electric regulating valve set in each target layer. The scaling parameters and real-time parameter changes of the pipelines corresponding to each target mining reservoir are determined and analyzed. The quantitative relationship is adjusted based on the analysis results of the scaling parameters, and the preset frequency is adjusted based on the analysis results of the real-time parameter changes.

2. The method according to claim 1, characterized in that, Based on preset data collection principles, a quantitative relationship between water flow velocity and key parameters is established, specifically including: ， In the formula, The heat demand allocated for the target reservoir of layer i, where C is the specific heat capacity of water, ρ is the density of water, and A i Let T be the area of ​​the heat exchange section of the target reservoir in the i-th layer. i Let T be the hot water temperature corresponding to the i-th target reservoir. 回水 Let η be the return water temperature after heat exchange corresponding to the i-th target reservoir, and η be the heat exchange efficiency correction coefficient.

3. The method according to claim 1, characterized in that, The heat demand and initial water flow velocity corresponding to the target exploitable reservoir are determined based on the initial temperature, specifically including: The heat capacity of each target mining reservoir is determined based on the initial temperature, wherein the heat capacity is positively correlated with the initial temperature; Calculate the heat capacity percentage, and based on the heat capacity percentage, break down the total load at the end to obtain the heat demand corresponding to each target exploited reservoir; The initial water flow velocity is determined by matching the heat capacity ratio with historical mining data.

4. The method according to claim 1, characterized in that, Determine and analyze the pipe scaling parameters and real-time parameter changes corresponding to each target exploitation reservoir, specifically including: The pressure difference is calculated by collecting real-time pressure values ​​at the pipeline inlet and outlet using pressure sensors in each target reservoir. The pipeline scaling parameters are then determined based on the pressure difference, and these parameters are positively correlated with the pressure difference. Temperature change curves are plotted based on several real-time temperature values, and the temperature change curves are analyzed to obtain temperature analysis results. Flow rate change curves are plotted based on several flow rate parameters, and the flow rate change curves are analyzed to obtain flow rate analysis results.

5. The method according to claim 4, characterized in that, Adjusting the quantitative relationship based on the analysis results of pipe scaling parameters specifically includes: Compare the scaling parameters of the pipeline with the preset scaling parameter thresholds to obtain the scaling comparison results; When the scaling parameters of the pipeline are greater than or equal to the preset scaling parameter threshold, the heat exchange efficiency correction coefficient is adjusted.

6. The method according to claim 1, characterized in that, Adjusting the preset frequency based on real-time parameter change analysis results specifically includes: Determine the temperature change trend based on the temperature analysis results; Determine the trend of traffic changes based on the results of traffic analysis; When the temperature or flow rate changes are unstable, adjust the preset frequency.

7. The method according to claim 6, characterized in that, When the temperature or flow rate changes are unstable, the preset frequency is adjusted, specifically including: Determine the degree of fluctuation in the temperature change trend and the flow rate change trend; The fluctuation level is compared with a preset level, an adjustment coefficient is determined based on the comparison result, and the preset frequency is increased based on the adjustment coefficient.

8. A heat extraction strategy generation system based on geological reservoir analysis, characterized in that, The system includes, The reservoir segmentation module is used to collect the initial mining reservoirs corresponding to the area to be mined, determine the initial temperature corresponding to the initial mining reservoirs, and segment the initial mining reservoirs based on the initial temperature to obtain the target mining reservoirs. The determination module is used to determine the heat demand and initial water flow rate of the target reservoir based on the initial temperature; The parameter acquisition module is used to set temperature sensors, pressure sensors and electromagnetic flow meters in the corresponding target mining reservoirs to collect real-time temperature values, real-time pressure values ​​and flow parameters of each layer based on a preset frequency. A module is established to create a quantitative relationship between water flow velocity and key parameters based on preset acquisition principles; The control module is used to determine the target water flow velocity based on the real-time temperature, pressure and flow parameters of each layer and the quantification relationship, and to dynamically adjust the initial water flow velocity according to the target water flow velocity based on the variable frequency submersible pump and electric regulating valve set in each target layer. The parameter adaptation module is used to determine and analyze the pipe scaling parameters and real-time parameter changes corresponding to each target mining reservoir, adjust the quantification relationship based on the pipe scaling parameter analysis results, and adjust the preset frequency based on the real-time parameter change analysis results.

9. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements the steps of the heat extraction strategy generation method based on geological reservoir analysis as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores a computer program, which, when executed by a processor, implements the steps of the heat extraction strategy generation method based on geological reservoir analysis as described in any one of claims 1-7.

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