Carbonate rock hot reservoir geothermal water water quantity distribution prediction method and device, electronic equipment and medium
By constructing a linear model of the relationship between formation dip angle and geothermal water volume, and utilizing magnetotelluric inversion and geothermal well data, the problem of large errors and low accuracy in predicting the distribution of geothermal water volume in deep carbonate reservoirs was solved. This resulted in efficient and accurate water volume prediction, reduced exploration costs, and improved the water production efficiency of geothermal wells.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA PETROCHEMICAL CORP
- Filing Date
- 2025-01-02
- Publication Date
- 2026-07-03
Smart Images
Figure CN122333698A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of geothermal resource exploration technology, and more specifically, to a method, apparatus, electronic device, and medium for predicting the distribution of geothermal water in carbonate rock reservoirs. Background Technology
[0002] Currently, there are four technologies for predicting the distribution of hot water in deep carbonate reservoirs:
[0003] ① Hydrogeological method: This method predicts groundwater volume by analyzing groundwater recharge, runoff, and discharge conditions, combined with hydrogeological conditions (such as groundwater level, aquifer lithology, and geomorphology). This method is unsuitable for deep geothermal exploration, primarily due to the complexity and uncertainty of deep hydrogeological conditions, which can lead to significant errors. Furthermore, this method cannot quantitatively assess the volume of geothermal water.
[0004] ② Geological analogy method: This method predicts the water volume of unknown areas by comparing and inferring from the geological conditions and water volume characteristics of known geothermal fields or regions. It is based on the principle of geological similarity, assuming that groundwater volume characteristics are likely to be similar under similar geological conditions. The accuracy of this method depends heavily on the degree of similarity between the known and unknown areas, and may contain significant errors, thus its accuracy is not high.
[0005] ③ Numerical simulation method: This method uses mathematical models to simulate groundwater flow processes and predict geothermal water volume under different conditions. It can simulate complex groundwater flow situations relatively accurately, but requires a large number of accurate geological parameters (such as boundary conditions, initial conditions, and geomorphological parameters) and suitable computational methods to solve the groundwater movement equations (such as multivariable, nonlinear, and unsteady-state equations). Because obtaining high-precision geological parameters in deep geothermal exploration is very difficult, the accuracy of the basic geological conditions input for this method is relatively low. Furthermore, this method has high requirements for the applicability of computational methods, and the prediction results are affected by model assumptions and numerical algorithms, requiring error analysis and verification. Its accuracy has significant uncertainties.
[0006] ④ Geophysical exploration methods: These methods utilize various geophysical exploration techniques (such as electrical resistivity tomography, magnetics, and seismic surveys) to obtain information on the physical properties of underground media, thereby inferring the distribution and quantity characteristics of groundwater. Based on the sensitivity and differences in the effects of different geophysical fields on the properties of underground media, they infer groundwater distribution through data processing and interpretation. However, this method is susceptible to interference from geophysical fields and environmental noise, which may introduce errors. Furthermore, the ambiguity in interpreting geophysical results also leads to ambiguity in water quantity prediction, making quantitative prediction of water volume impossible.
[0007] Therefore, it is necessary to develop a method, device, electronic equipment, and medium for predicting geothermal water distribution in carbonate rock reservoirs.
[0008] The information disclosed in the background section of this invention is intended only to enhance the understanding of the general background of this invention, and should not be construed as an admission or in any way implying that such information constitutes prior art known to those skilled in the art. Summary of the Invention
[0009] This invention proposes a method, device, electronic equipment, and medium for predicting the distribution of geothermal water in carbonate reservoirs. By constructing a linear model between the dip angle and the geothermal water volume, it can directly convert dip angle data into water volume data, thereby quantitatively predicting the water distribution of geothermal reservoirs, enhancing the accuracy of geothermal resource exploration, and providing a reliable basis for the scientific development and efficient utilization of geothermal resources.
[0010] In a first aspect, embodiments of this disclosure provide a method for predicting the distribution of hot water in carbonate rock geothermal reservoirs, including:
[0011] Collect magnetotelluric data in the target exploration area and perform inversion to obtain the inversion results;
[0012] Collect data on drilled geothermal wells, including the burial depth of the top surface of carbonate geothermal reservoirs and the geothermal water production;
[0013] Based on the inversion results and the data from the drilled geothermal wells, the formation dip angle is calculated to obtain a plane distribution map of the formation dip angle.
[0014] Establish a fitting relationship between the formation dip angle and the geothermal water production data of the drilled geothermal wells;
[0015] Based on the plane distribution map of the strata dip angle and the fitting relationship, a water distribution contour map is obtained.
[0016] As a specific implementation of this disclosure, the magnetotelluric data is preprocessed before the inversion, including smoothing and jump point operations.
[0017] As a specific implementation of this disclosure, calculating the formation dip angle based on the inversion result and the drilled geothermal well data to obtain a formation dip angle plane distribution map includes:
[0018] Based on the inversion results and the data from the drilled geothermal wells, the geomorphological features of the carbonate reservoir were constructed.
[0019] The dip angle of the strata is calculated based on the geomorphological features of the carbonate reservoir, and a planar distribution map of the dip angle of the strata is obtained.
[0020] As a specific implementation of this disclosure, constructing the geomorphological features of carbonate reservoirs based on the inversion results and the data from drilled geothermal wells includes:
[0021] Based on the burial depth of the top surface of the carbonate reservoir in the inversion results and the burial depth of the top surface of the carbonate reservoir in the data of the drilled geothermal wells, the burial depth distribution of the top surface of the carbonate reservoir in the target exploration area is determined by interpolation, and the geomorphological morphology of the carbonate reservoir is constructed.
[0022] As a specific implementation of this disclosure, obtaining a water distribution contour map based on the formation dip angle plane distribution map and the fitting relationship includes:
[0023] Substitute the formation dip angle into the fitting relationship to calculate the water production and obtain a water volume plane distribution map.
[0024] The water distribution map is smoothed and outliers are removed to obtain a predicted contour map of the water distribution.
[0025] Secondly, this disclosure also provides a device for predicting the distribution of hot water in carbonate reservoirs, comprising:
[0026] The inversion module collects magnetotelluric data in the target exploration area and performs inversion to obtain inversion results.
[0027] The data collection module collects data from drilled geothermal wells, including the burial depth of the top surface of carbonate geothermal reservoirs and the geothermal water production.
[0028] The calculation module calculates the formation dip angle based on the inversion results and the data from the drilled geothermal wells, and obtains a planar distribution map of the formation dip angle.
[0029] The fitting module establishes a fitting relationship between the formation dip angle and the geothermal water production data of the drilled geothermal wells.
[0030] The prediction module obtains a water distribution contour map based on the stratigraphic dip angle plane distribution map and the fitting relationship.
[0031] As a specific implementation of this disclosure, the magnetotelluric data is preprocessed before the inversion, including smoothing and jump point operations.
[0032] As a specific implementation of this disclosure, calculating the formation dip angle based on the inversion result and the drilled geothermal well data to obtain a formation dip angle plane distribution map includes:
[0033] Based on the inversion results and the data from the drilled geothermal wells, the geomorphological features of the carbonate reservoir were constructed.
[0034] The dip angle of the strata is calculated based on the geomorphological features of the carbonate reservoir, and a planar distribution map of the dip angle of the strata is obtained.
[0035] As a specific implementation of this disclosure, constructing the geomorphological features of carbonate reservoirs based on the inversion results and the data from drilled geothermal wells includes:
[0036] Based on the burial depth of the top surface of the carbonate reservoir in the inversion results and the burial depth of the top surface of the carbonate reservoir in the data of the drilled geothermal wells, the burial depth distribution of the top surface of the carbonate reservoir in the target exploration area is determined by interpolation, and the geomorphological morphology of the carbonate reservoir is constructed.
[0037] As a specific implementation of this disclosure, obtaining a water distribution contour map based on the formation dip angle plane distribution map and the fitting relationship includes:
[0038] Substitute the formation dip angle into the fitting relationship to calculate the water production and obtain a water volume plane distribution map.
[0039] The water distribution map is smoothed and outliers are removed to obtain a predicted contour map of the water distribution.
[0040] Thirdly, embodiments of this disclosure also provide an electronic device, the electronic device comprising:
[0041] Memory, which stores executable instructions;
[0042] A processor that executes the executable instructions in the memory to implement the method for predicting the distribution of hot water in carbonate rock geothermal reservoirs.
[0043] Fourthly, embodiments of this disclosure also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for predicting the distribution of hot water in carbonate rock geothermal reservoirs.
[0044] Its beneficial effects are as follows:
[0045] This invention accurately depicts the geomorphic features and stratigraphic dip of deep carbonate reservoirs by integrating magnetotelluric inversion data with geothermal well formation depth information. Based on the constructed linear model between stratigraphic dip and geothermal water volume, it realizes the direct conversion of dip data into water volume data, providing a scientific and quantitative guide for the deployment of geothermal wells. This not only helps to reduce blind drilling and lower exploration costs, but also significantly improves the water production efficiency and economic benefits of geothermal wells.
[0046] The methods and apparatus of the present invention have other features and advantages that will be apparent from or will be set forth in detail in the accompanying drawings and following detailed description, which together serve to explain the particular principles of the invention. Attached Figure Description
[0047] The above and other objects, features and advantages of the present invention will become more apparent from the more detailed description of exemplary embodiments of the invention in conjunction with the accompanying drawings, wherein the same reference numerals generally represent the same parts.
[0048] Figure 1 A flowchart illustrating the steps of a method for predicting the distribution of hot water in carbonate reservoirs according to an embodiment of the present invention is shown.
[0049] Figure 2 A schematic diagram of the processing results of MT data at measurement point site1300 after removing the influence of environmental noise according to an embodiment of the present invention is shown.
[0050] Figure 3 A schematic diagram of the MT inversion result according to an embodiment of the present invention is shown.
[0051] Figure 4 A structural diagram of the top surface of a carbonate formation based on MT inversion and well drilling stratification, according to an embodiment of the present invention, is shown.
[0052] Figure 5 A map showing the stratigraphic dip distribution in an exploration area according to an embodiment of the present invention is provided.
[0053] Figure 6 A diagram showing the intersection of water volume and formation dip at the drilling site in a drilled geothermal well according to an embodiment of the present invention is presented.
[0054] Figure 7 A contour map of predicted water distribution in an exploration area according to an embodiment of the present invention is shown.
[0055] Figure 8 A block diagram of a device for predicting the distribution of hot water in a carbonate rock geothermal reservoir according to an embodiment of the present invention is shown.
[0056] Explanation of reference numerals in the attached figures:
[0057] 201. Inversion Module; 202. Collection Module; 203. Calculation Module; 204. Fitting Module; 205. Prediction Module. Detailed Implementation
[0058] Preferred embodiments of the invention will now be described in more detail. While preferred embodiments of the invention are described below, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein.
[0059] To facilitate understanding of the solutions and effects of the embodiments of the present invention, six specific application examples are given below. Those skilled in the art should understand that these examples are merely for the purpose of understanding the present invention, and any specific details therein are not intended to limit the present invention in any way.
[0060] Example 1
[0061] Figure 1 A flowchart illustrating the steps of a method for predicting the distribution of hot water in carbonate reservoirs according to an embodiment of the present invention is shown.
[0062] like Figure 1 As shown, the method for predicting the distribution of hot water in this carbonate reservoir includes:
[0063] Step 101: Collect magnetotelluric data in the target exploration area and perform inversion to obtain the inversion results;
[0064] Step 102: Collect data from drilled geothermal wells, including the burial depth of the top surface of the carbonate reservoir and the geothermal water production.
[0065] Step 103: Calculate the formation dip angle based on the inversion results and the data from drilled geothermal wells to obtain a planar distribution map of the formation dip angle;
[0066] Step 104: Establish the fitting relationship between formation dip angle and geothermal water production data from drilled geothermal wells;
[0067] Step 105: Based on the plane distribution map of the stratum dip angle and the fitting relationship, obtain the predicted contour map of water distribution.
[0068] In one example, the magnetotelluric data is preprocessed before inversion, including smoothing and jump point operations.
[0069] In one example, the formation dip angle is calculated based on the inversion results and data from drilled geothermal wells, resulting in a formation dip angle planar distribution map, including:
[0070] Based on the inversion results and data from drilled geothermal wells, the geomorphological features of carbonate reservoirs were constructed.
[0071] The dip angle of the strata is calculated based on the geomorphological features of the carbonate reservoir, and a planar distribution map of the dip angle of the strata is obtained.
[0072] In one example, the geomorphological features of a carbonate reservoir, constructed based on inversion results and data from drilled geothermal wells, include:
[0073] Based on the burial depth of the top surface of the carbonate reservoir from the inversion results and the burial depth of the top surface of the carbonate reservoir from the data of drilled geothermal wells, the burial depth distribution of the top surface of the carbonate reservoir in the target exploration area is determined by interpolation, and the geomorphological morphology of the carbonate reservoir is constructed.
[0074] In one example, based on the formation dip angle plane distribution map and the fitting relationship, the predicted water distribution contour map is obtained, including:
[0075] Substitute the formation dip angle into the fitting relationship to calculate the water production and obtain a water volume plane distribution map.
[0076] The water distribution map is smoothed and outliers are removed to obtain a predicted water distribution contour map.
[0077] Specifically, in the target exploration area, a magnetotelluric instrument is used to collect data, recording electric and magnetic field parameters at different frequencies to obtain resistivity information of the subsurface medium and acquire magnetotelluric data. The acquired MT data undergoes preprocessing operations such as smoothing and skipping points to eliminate the influence of noise and outliers, improving data quality. The preprocessed MT data is then inverted to calculate resistivity and generate resistivity profile maps to reflect the electrical structure of the subsurface medium, obtaining the inversion results.
[0078] Key information such as well location coordinates, target layer position, burial depth of the top surface of carbonate reservoirs, and geothermal water production of drilled wells were collected. Combining the burial depth data of the top surface of carbonate reservoirs obtained from MT inversion and the burial depth data of the top surface of geothermal wells, interpolation was used to determine the burial depth distribution of the top surface of carbonate reservoirs in the exploration area, thus constructing the geomorphological features of the carbonate reservoirs.
[0079] The surface dip angle of the carbonate rock strata is calculated based on the geomorphological features of the carbonate reservoir, and the dip angle of the drilled strata is determined accordingly.
[0080] The collected geothermal water volume from drilled wells is cross-referenced with the calculated formation dip angle to determine the goodness of fit and establish a fitting relationship. The formation dip angle plane distribution map is then transformed into a water volume plane distribution map based on the fitting relationship. The water volume distribution map is then smoothed to remove outliers, resulting in a predicted water volume distribution contour map.
[0081] Example 2
[0082] The present invention also provides a device for predicting the distribution of hot water in carbonate reservoirs, comprising:
[0083] The inversion module collects magnetotelluric data in the target exploration area and performs inversion to obtain inversion results.
[0084] The data collection module collects data from drilled geothermal wells, including the burial depth of the top surface of carbonate geothermal reservoirs and the geothermal water production.
[0085] The calculation module calculates the formation dip angle based on the inversion results and data from drilled geothermal wells, and obtains a planar distribution map of the formation dip angle.
[0086] The fitting module establishes a fitting relationship between the formation dip angle and the geothermal water production data of drilled geothermal wells.
[0087] The prediction module obtains a water distribution contour map based on the formation dip angle plane distribution map and the fitting relationship.
[0088] In one example, the magnetotelluric data is preprocessed before inversion, including smoothing and jump point operations.
[0089] In one example, the formation dip angle is calculated based on the inversion results and data from drilled geothermal wells, resulting in a formation dip angle planar distribution map, including:
[0090] Based on the inversion results and data from drilled geothermal wells, the geomorphological features of carbonate reservoirs were constructed.
[0091] The dip angle of the strata is calculated based on the geomorphological features of the carbonate reservoir, and a planar distribution map of the dip angle of the strata is obtained.
[0092] In one example, the geomorphological features of a carbonate reservoir, constructed based on inversion results and data from drilled geothermal wells, include:
[0093] Based on the burial depth of the top surface of the carbonate reservoir from the inversion results and the burial depth of the top surface of the carbonate reservoir from the data of drilled geothermal wells, the burial depth distribution of the top surface of the carbonate reservoir in the target exploration area is determined by interpolation, and the geomorphological morphology of the carbonate reservoir is constructed.
[0094] In one example, based on the formation dip angle plane distribution map and the fitting relationship, the predicted water distribution contour map is obtained, including:
[0095] Substitute the formation dip angle into the fitting relationship to calculate the water production and obtain a water volume plane distribution map.
[0096] The water distribution map is smoothed and outliers are removed to obtain a predicted water distribution contour map.
[0097] Specifically, in the target exploration area, a magnetotelluric instrument is used to collect data, recording electric and magnetic field parameters at different frequencies to obtain resistivity information of the subsurface medium and acquire magnetotelluric data. The acquired MT data undergoes preprocessing operations such as smoothing and skipping points to eliminate the influence of noise and outliers, improving data quality. The preprocessed MT data is then inverted to calculate resistivity and generate resistivity profile maps to reflect the electrical structure of the subsurface medium, obtaining the inversion results.
[0098] Key information such as well location coordinates, target layer position, burial depth of the top surface of carbonate reservoirs, and geothermal water production of drilled wells were collected. Combining the burial depth data of the top surface of carbonate reservoirs obtained from MT inversion and the burial depth data of the top surface of geothermal wells, interpolation was used to determine the burial depth distribution of the top surface of carbonate reservoirs in the exploration area, thus constructing the geomorphological features of the carbonate reservoirs.
[0099] The surface dip angle of the carbonate rock strata is calculated based on the geomorphological features of the carbonate reservoir, and the dip angle of the drilled strata is determined accordingly.
[0100] The collected geothermal water volume from drilled wells is cross-referenced with the calculated formation dip angle to determine the goodness of fit and establish a fitting relationship. The formation dip angle plane distribution map is then transformed into a water volume plane distribution map based on the fitting relationship. The water volume distribution map is then smoothed to remove outliers, resulting in a predicted water volume distribution contour map.
[0101] Example 3
[0102] Magnetotelluric survey lines were laid out within an exploration area in a city in Shanxi Province. The spacing between survey lines and the density of measuring points were determined based on the exploration depth and geological conditions. Data was collected along the survey lines, recording electric and magnetic field parameters at different frequencies to obtain resistivity information of the subsurface medium.
[0103] Figure 2 A schematic diagram of the processing results of MT data at measurement point site1300 after removing the influence of environmental noise according to an embodiment of the present invention is shown.
[0104] The collected magnetotelluric data undergoes preprocessing operations such as smoothing and skipping points to eliminate random noise and interference. The preprocessed data is then subjected to quality checks to ensure its integrity and consistency. Taking Site 1300 as an example, the calculation results are as follows: Figure 2 As shown.
[0105] Figure 3 A schematic diagram of the MT inversion result according to an embodiment of the present invention is shown.
[0106] The preprocessed magnetotelluric data is inverted to generate a resistivity profile, as shown below. Figure 3 As shown, this illustrates the distribution of underground resistivity.
[0107] Figure 4 A structural diagram of the top surface of a carbonate formation based on MT inversion and well drilling stratification, according to an embodiment of the present invention, is shown.
[0108] The location coordinates, target stratigraphic positions, burial depth of the top surface of the carbonate reservoir, and water production of 17 geothermal wells in the urban area were collected. Based on the burial depth data of the top surface of the carbonate reservoir obtained from MT inversion data and the burial depth data of the top surface of the carbonate reservoir from the 17 wells, the distribution of the burial depth of the top surface of the carbonate reservoir in the exploration area was obtained through interpolation, forming the carbonate landform morphology, such as... Figure 4 As shown.
[0109] Figure 5 A map showing the stratigraphic dip distribution in an exploration area according to an embodiment of the present invention is provided.
[0110] The dip angle of the carbonate reservoir geomorphology is calculated to obtain the distribution of the dip angle of the strata within the exploration area, such as... Figure 5 As shown, the formation dip angle of the existing well is extracted.
[0111] Figure 6 A diagram showing the intersection of water volume and formation dip at the drilling site in a drilled geothermal well according to an embodiment of the present invention is presented.
[0112] like Figure 6 As shown, a cross-plot analysis was performed on the geothermal water volume of 17 wells and the calculated formation dip angle. The goodness of fit R0 was obtained. 2 =0.8405, indicating a good fit. This shows that there is a positive correlation between the formation dip angle of deep carbonate reservoirs and the water production of geothermal wells. The fitting relationship is established as follows: Water production = 6.2287 * formation dip angle + 25.82.
[0113] Figure 7 A contour map of predicted water distribution in an exploration area according to an embodiment of the present invention is shown.
[0114] Based on the fitting relationship, the planar distribution data of stratigraphic dip angle is transformed into a planar distribution of water volume. An interpolation is then used to generate a water volume distribution map, which is smoothed to remove outliers, resulting in a predicted contour map of water volume distribution. Figure 7 As shown.
[0115] Example 4
[0116] Figure 8 A block diagram of a device for predicting the distribution of hot water in a carbonate rock geothermal reservoir according to an embodiment of the present invention is shown.
[0117] like Figure 8 As shown, the device for predicting the distribution of geothermal water in a carbonate reservoir includes:
[0118] The inversion module collects magnetotelluric data in the target exploration area and performs inversion to obtain inversion results.
[0119] The data collection module collects data from drilled geothermal wells, including the burial depth of the top surface of carbonate geothermal reservoirs and the geothermal water production.
[0120] The calculation module calculates the formation dip angle based on the inversion results and data from drilled geothermal wells, and obtains a planar distribution map of the formation dip angle.
[0121] The fitting module establishes a fitting relationship between the formation dip angle and the geothermal water production data of drilled geothermal wells.
[0122] The prediction module obtains a water distribution contour map based on the formation dip angle plane distribution map and the fitting relationship.
[0123] In one example, the magnetotelluric data is preprocessed before inversion, including smoothing and jump point operations.
[0124] In one example, the formation dip angle is calculated based on the inversion results and data from drilled geothermal wells, resulting in a formation dip angle planar distribution map, including:
[0125] Based on the inversion results and data from drilled geothermal wells, the geomorphological features of carbonate reservoirs were constructed.
[0126] The dip angle of the strata is calculated based on the geomorphological features of the carbonate reservoir, and a planar distribution map of the dip angle of the strata is obtained.
[0127] In one example, the geomorphological features of a carbonate reservoir, constructed based on inversion results and data from drilled geothermal wells, include:
[0128] Based on the burial depth of the top surface of the carbonate reservoir from the inversion results and the burial depth of the top surface of the carbonate reservoir from the data of drilled geothermal wells, the burial depth distribution of the top surface of the carbonate reservoir in the target exploration area is determined by interpolation, and the geomorphological morphology of the carbonate reservoir is constructed.
[0129] In one example, based on the formation dip angle plane distribution map and the fitting relationship, the predicted water distribution contour map is obtained, including:
[0130] Substitute the formation dip angle into the fitting relationship to calculate the water production and obtain a water volume plane distribution map.
[0131] The water distribution map is smoothed and outliers are removed to obtain a predicted water distribution contour map.
[0132] Example 5
[0133] This disclosure provides an electronic device, comprising: a memory storing executable instructions; and a processor that executes the executable instructions in the memory to implement the above-described method for predicting the distribution of hot water in carbonate reservoirs.
[0134] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.
[0135] This memory is used to store non-transitory computer-readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory. The non-volatile memory may, for example, include read-only memory (ROM), hard disk, flash memory, etc.
[0136] The processor may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of this disclosure, the processor is used to execute computer-readable instructions stored in the memory.
[0137] Those skilled in the art will understand that, in order to solve the technical problem of how to achieve a good user experience, this embodiment may also include well-known structures such as communication buses and interfaces, and these well-known structures should also be included within the protection scope of this disclosure.
[0138] For a detailed description of this embodiment, please refer to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.
[0139] Example 6
[0140] This disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for predicting the distribution of hot water in carbonate rock geothermal reservoirs.
[0141] A computer-readable storage medium according to embodiments of the present disclosure stores non-transitory computer-readable instructions. When these non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the methods described in the foregoing embodiments of the present disclosure are performed.
[0142] The aforementioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or portable hard drive), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).
[0143] Those skilled in the art should understand that the above description of the embodiments of the present invention is only intended to illustrate the beneficial effects of the embodiments of the present invention, and is not intended to limit the embodiments of the present invention to any of the examples given.
[0144] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.
Claims
1. A method for predicting the distribution of geothermal water volume in a carbonate hot reservoir, characterized by, include: Collect magnetotelluric data in the target exploration area and perform inversion to obtain the inversion results; Collect data on drilled geothermal wells, including the burial depth of the top surface of carbonate geothermal reservoirs and the geothermal water production; Based on the inversion results and the data from the drilled geothermal wells, the formation dip angle is calculated to obtain a plane distribution map of the formation dip angle. Establish a fitting relationship between the formation dip angle and the geothermal water production data of the drilled geothermal wells; Based on the plane distribution map of the strata dip angle and the fitting relationship, a water distribution contour map is obtained.
2. The carbonate hot reservoir geothermal water quantity distribution prediction method according to claim 1, wherein, The magnetotelluric data is preprocessed before the inversion, including smoothing and jump point operations.
3. The carbonate hot reservoir geothermal water quantity distribution prediction method according to claim 1, wherein, Based on the inversion results and the data from the drilled geothermal wells, the formation dip angle is calculated, and a formation dip angle plane distribution map is obtained, including: Based on the inversion results and the data from the drilled geothermal wells, the geomorphological features of the carbonate reservoir were constructed. The dip angle of the strata is calculated based on the geomorphological features of the carbonate reservoir, and a planar distribution map of the dip angle of the strata is obtained.
4. The carbonate hot reservoir geothermal water quantity distribution prediction method according to claim 3, wherein, Based on the inversion results and the data from drilled geothermal wells, the geomorphological features of carbonate reservoirs are constructed, including: Based on the burial depth of the top surface of the carbonate reservoir in the inversion results and the burial depth of the top surface of the carbonate reservoir in the data of the drilled geothermal wells, the burial depth distribution of the top surface of the carbonate reservoir in the target exploration area is determined by interpolation, and the geomorphological morphology of the carbonate reservoir is constructed.
5. The carbonate hot reservoir geothermal water quantity distribution prediction method according to claim 1, wherein, Based on the stratigraphic dip plane distribution map and the fitting relationship, the predicted water distribution contour map is obtained, including: Substitute the formation dip angle into the fitting relationship to calculate the water production and obtain a water volume plane distribution map. The water distribution map is smoothed and outliers are removed to obtain a predicted contour map of the water distribution.
6. A device for predicting the distribution of water volume of geothermal water in a carbonate hot reservoir, characterized by, include: The inversion module collects magnetotelluric data in the target exploration area and performs inversion to obtain inversion results. The data collection module collects data from drilled geothermal wells, including the burial depth of the top surface of carbonate geothermal reservoirs and the geothermal water production. The calculation module calculates the formation dip angle based on the inversion results and the data from the drilled geothermal wells, and obtains a planar distribution map of the formation dip angle. The fitting module establishes a fitting relationship between the formation dip angle and the geothermal water production data of the drilled geothermal wells. The prediction module obtains a water distribution contour map based on the stratigraphic dip angle plane distribution map and the fitting relationship.
7. The carbonate hot reservoir geothermal water quantity distribution prediction device according to claim 6, wherein, The magnetotelluric data is preprocessed before the inversion, including smoothing and jump point operations.
8. The carbonate hot reservoir geothermal water quantity distribution prediction device according to claim 6, wherein, Based on the inversion results and the data from the drilled geothermal wells, the formation dip angle is calculated, and a formation dip angle plane distribution map is obtained, including: Based on the inversion results and the data from the drilled geothermal wells, the geomorphological features of the carbonate reservoir were constructed. The dip angle of the strata is calculated based on the geomorphological features of the carbonate reservoir, and a planar distribution map of the dip angle of the strata is obtained.
9. An electronic device, comprising: The electronic device includes: Memory, which stores executable instructions; A processor that executes the executable instructions in the memory to implement the method for predicting the distribution of hot water in carbonate rock geothermal reservoirs according to any one of claims 1-5.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method for predicting the distribution of hot water in carbonate rock geothermal reservoirs as described in any one of claims 1-5.