Data processing method, device and equipment and computer readable storage medium

Abstract

The invention discloses a data processing method, device and equipment and a computer readable storage medium, and belongs to the technical field of new energy and renewable energy. The method comprises the steps that according to three-dimensional seismic data of a target area and logging data of a long-stop well included in the target area, heat storage parameters of all sub-areas of a heat storage layer of the target area are determined; on the basis of the heat storage parameters of all the sub-areas, heat storage favorable areas are determined in all the sub-areas; according to the logging information of each target well, the geothermal resource quantity of each target well is determined, and any target well is a long-stop well located in the heat storage favorable area; according to the geothermal resource quantity of each target well, the index value of each target well is determined, and the index value of any target well is used for determining whether any target well can be converted into a geothermal well or not. According to the method, geothermal resource potential evaluation of the long-stop well is finer, and the reliability of geothermal development and utilization of the long-stop well is improved.

Description

Technical Field

[0001] This application relates to the field of new energy and renewable energy technology, and in particular to a data processing method, apparatus, device and computer-readable storage medium. Background Technology

[0002] As exploration and development progress, some oil and gas basin wells gradually enter the high water-cut stage. Due to high production costs and declining output, these wells lose their economic viability and become long-term idle wells. Since oil and gas basins contain abundant geothermal resources, these long-term idle wells can be converted into geothermal wells for geothermal resource extraction.

[0003] The prerequisite for determining whether a long-term idle well can be converted into a geothermal well is whether the index values ​​of the long-term idle well meet the requirements. Therefore, a data processing method is urgently needed to determine the index values ​​of long-term idle wells. Summary of the Invention

[0004] This application provides a data processing method, apparatus, device, and computer-readable storage medium, which can be used to determine the geothermal resource quantity of a long-term idle well, and thus determine the index value of the long-term idle well. The technical solution is as follows:

[0005] On one hand, embodiments of this application provide a data processing method, the method comprising:

[0006] Based on the 3D seismic data of the target area and the logging data of the long-term shut-in wells included in the target area, the thermal reservoir parameters of each sub-region of the thermal reservoir in the target area are determined;

[0007] Based on the thermal storage parameters of each sub-region, a favorable thermal storage region is determined in each sub-region, and the thermal storage parameters of the favorable thermal storage region meet the corresponding parameter requirements.

[0008] Based on the logging data of each target well, the geothermal resource volume of each target well is determined, and any target well is a long-term shut-in well located in the favorable area of ​​the geothermal reservoir.

[0009] Based on the geothermal resource quantity of each target well, the index value of each target well is determined, and the index value of any target well is used to determine whether any target well can be converted into a geothermal well.

[0010] In one possible implementation, the thermal storage parameters include sand body thickness, porosity, permeability, and temperature;

[0011] The process of determining favorable geothermal storage areas within each sub-region based on geothermal storage parameters includes:

[0012] The target sub-regions in each of the sub-regions are determined as the favorable regions of the thermal reservoir. The sand body thickness of the target sub-region is greater than the thickness threshold, the porosity is greater than the pore threshold, the permeability is greater than the permeability threshold, and the temperature is greater than the temperature threshold.

[0013] In one possible implementation, the logging data of the target well includes the porosity and temperature of various regions of the target well;

[0014] The determination of the geothermal resource quantity of each target well based on the logging data of each target well includes:

[0015] For any target well among the target wells, the comprehensive specific heat capacity of each region of the target well is determined based on the porosity of each region of the target well.

[0016] Based on the comprehensive specific heat capacity and temperature of each region of any target well, the thermal reservoir evaluation parameters of each region of any target well are determined. The thermal reservoir evaluation parameters of any region of any target well are used to indicate the geothermal resources of any region of any target well.

[0017] Based on the thermal reservoir evaluation parameters of each region of any target well and the net-to-gross ratio of each region of any target well, determine the geothermal resource quantity of each region of any target well.

[0018] The geothermal resource quantity of any target well is determined based on the geothermal resource quantity of each region of the target well.

[0019] In one possible implementation, the method further includes:

[0020] For any region within any region of any target well, the net-to-gross ratio of any region of any target well is determined based on the effective rock volume of any region of any target well and the effective rock volume of any target well.

[0021] In one possible implementation, determining the index value of each target well based on the geothermal resource quantity of each target well includes:

[0022] For any target well among the target wells, the membership degree of any target well is determined based on the geothermal resource quantity of the target well. The membership degree of any target well is used to indicate the degree to which the target well belongs to different evaluation levels.

[0023] The membership degree of any target well is normalized to obtain the index value of any target well.

[0024] In one possible implementation, determining the membership degree of any target well based on its geothermal resource quantity includes:

[0025] Determine the rating scale corresponding to the geothermal resource quantity of any of the target wells;

[0026] The membership degree of any target well is determined based on the rating scale corresponding to the geothermal resource quantity and the weight parameter corresponding to the geothermal resource quantity.

[0027] In one possible implementation, determining the membership degree of any target well based on its geothermal resource quantity includes:

[0028] Determine the rating scale corresponding to the geothermal resource quantity of any of the target wells;

[0029] Determine the rating scale corresponding to the evaluation elements of any target well. The evaluation elements of any target well include at least one of the following: structural morphology, reservoir burial depth, reservoir lithology, reservoir thickness, reservoir temperature, reservoir properties, reservoir-to-land ratio, wellbore conditions, buried pipelines, or yield.

[0030] The membership degree of any target well is determined based on the rating scale corresponding to the geothermal resource quantity, the weight parameter corresponding to the geothermal resource quantity, the rating scale corresponding to the evaluation element of any target well, and the weight parameter corresponding to the evaluation element.

[0031] In one possible implementation, the method further includes:

[0032] Based on the heating area of ​​the target area, the heating demand per square meter, and the heating capacity of a single well, the target quantity is determined, which is the number of geothermal wells required for the target area.

[0033] The index values ​​of each target well are sorted according to the target order to obtain the sorting result;

[0034] The target wells that determine the number of top targets in the sorting results can be converted into the geothermal wells.

[0035] In one possible implementation, determining the target quantity based on the heating area of ​​the target region, the heating demand per square meter, and the heating capacity of a single well includes:

[0036] Based on the heating area of ​​the target area and the heating demand per square meter, determine the total heating demand of the target area;

[0037] The target quantity is determined based on the total heating demand of the target area and the heating capacity of the single well.

[0038] In one possible implementation, the method further includes:

[0039] The heat supply of a single well is determined based on the specific heat capacity of water, the density of water, the temperature difference of well water, and the fluid production of the well.

[0040] On the other hand, embodiments of this application provide a data processing apparatus, the apparatus comprising:

[0041] The determination module is used to determine the thermal reservoir parameters of each sub-region of the thermal reservoir in the target area based on the three-dimensional seismic data of the target area and the logging data of the long-term shut-in wells included in the target area;

[0042] The determining module is further configured to determine a favorable thermal storage area in each sub-region based on the thermal storage parameters of each sub-region, wherein the thermal storage parameters of the favorable thermal storage area meet the corresponding parameter requirements;

[0043] The determining module is also used to determine the geothermal resource volume of each target well based on the logging data of each target well, wherein any target well is a long-term shut-in well located in the favorable area of ​​the thermal reservoir;

[0044] The determining module is further configured to determine the index value of each target well based on the geothermal resource quantity of each target well, and the index value of any target well is used to determine whether any target well can be converted into a geothermal well.

[0045] In one possible implementation, the thermal storage parameters include sand body thickness, porosity, permeability, and temperature;

[0046] The determining module is used to determine that the target sub-region in each sub-region is the favorable region of the thermal reservoir, wherein the sand body thickness of the target sub-region is greater than the thickness threshold, the porosity is greater than the pore threshold, the permeability is greater than the permeability threshold, and the temperature is greater than the temperature threshold.

[0047] In one possible implementation, the logging data of the target well includes the porosity and temperature of various regions of the target well;

[0048] The determining module is configured to, for any target well among the target wells, determine the comprehensive specific heat capacity of each region of the target well based on the porosity of each region of the target well; determine the geothermal reservoir evaluation parameters of each region of the target well based on the comprehensive specific heat capacity and the temperature of each region of the target well, wherein the geothermal reservoir evaluation parameters of each region of the target well are used to indicate the geothermal resources of each region of the target well; determine the geothermal resource quantity of each region of the target well based on the geothermal reservoir evaluation parameters and the net-to-gross ratio of each region of the target well; and determine the geothermal resource quantity of the target well based on the geothermal resource quantity of each region of the target well.

[0049] In one possible implementation, the determining module is further configured to, for any region among the various regions of any target well, determine the net-to-gross ratio of any region of any target well based on the effective rock volume of any region of any target well and the effective rock volume of any target well.

[0050] In one possible implementation, the determining module is used to determine the membership degree of any target well among the target wells based on the geothermal resource quantity of the target well, wherein the membership degree of the target well is used to indicate the degree of belonging of the target well to different evaluation levels; and to normalize the membership degree of the target well to obtain the index value of the target well.

[0051] In one possible implementation, the determining module is used to determine the rating scale corresponding to the geothermal resource quantity of any target well; and to determine the membership degree of any target well based on the rating scale corresponding to the geothermal resource quantity and the weight parameter corresponding to the geothermal resource quantity.

[0052] In one possible implementation, the determining module is configured to: determine the rating scale corresponding to the geothermal resource quantity of any target well; determine the rating scale corresponding to the evaluation elements of any target well, wherein the evaluation elements of any target well include at least one of the following: structural morphology, reservoir burial depth, reservoir lithology, reservoir thickness, reservoir temperature, reservoir properties, reservoir-to-land ratio, wellbore conditions, buried pipelines, or yield; and determine the membership degree of any target well based on the rating scale corresponding to the geothermal resource quantity, the weight parameter corresponding to the geothermal resource quantity, the rating scale corresponding to the evaluation elements of any target well, and the weight parameter corresponding to the evaluation elements.

[0053] In one possible implementation, the determining module is further configured to determine a target number based on the heating area of ​​the target area, the heating demand per square meter, and the heating capacity of a single well, wherein the target number is the number of geothermal wells required for the target area.

[0054] The device further includes:

[0055] The sorting module is used to sort the index values ​​of each target well according to the target order to obtain the sorting result;

[0056] The determining module is also used to determine whether the target wells in the sorting results with the previous target number can be converted into the geothermal wells.

[0057] In one possible implementation, the determining module is configured to determine the total heating demand of the target area based on the heating area of ​​the target area and the heating demand per square meter; and to determine the target quantity based on the total heating demand of the target area and the heating capacity of the single well.

[0058] In one possible implementation, the determining module is further configured to determine the heat supply of the single well based on the specific heat capacity of water, the density of water, the temperature difference of well water, and the fluid production of the well.

[0059] On the other hand, embodiments of this application provide a computer device, the computer device including a processor and a memory, the memory storing at least one piece of program code, the at least one piece of program code being loaded and executed by the processor to enable the computer device to implement any of the data processing methods described above.

[0060] On the other hand, a computer-readable storage medium is also provided, wherein at least one piece of program code is stored therein, the at least one piece of program code being loaded and executed by a processor to enable a computer to implement any of the data processing methods described above.

[0061] On the other hand, a computer program or computer program product is also provided, wherein the computer program or computer program product stores at least one computer instruction, which is loaded and executed by a processor to enable the computer to implement any of the above-described data processing methods.

[0062] The technical solution provided in this application has at least the following beneficial effects:

[0063] The technical solution provided in this application, when determining whether long-term dormant wells within a target area can be converted into geothermal wells, first identifies favorable geothermal reservoir areas within the target area to ensure that the target area possesses the conditions for resource development. Then, it determines the geothermal resource quantity of long-term dormant wells located within these favorable reservoir areas. Based on the geothermal resource quantity of each target well located within the favorable reservoir area, it determines the index value for each target well. This index value is used to determine whether the corresponding target well can be converted into a geothermal well. This method allows for a comprehensive, complete, and accurate determination of the index values ​​of long-term dormant wells, enabling the screening of those that can be converted into geothermal wells. This makes the evaluation of the geothermal resource potential of long-term dormant wells more refined and improves the reliability of geothermal development and utilization. Furthermore, since the conversion involves long-term dormant wells into geothermal wells, there is no need to acquire new geothermal wells, thus saving costs. Attached Figure Description

[0064] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0065] Figure 1 This is a schematic diagram of the implementation environment of a data processing method provided in an embodiment of this application;

[0066] Figure 2 This is a flowchart of a data processing method provided in an embodiment of this application;

[0067] Figure 3 This is a schematic diagram of the structure of a data processing device provided in an embodiment of this application;

[0068] Figure 4 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application;

[0069] Figure 5 This is a schematic diagram of the structure of a server provided in an embodiment of this application. Detailed Implementation

[0070] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0071] It should be noted that the terms "first," "second," etc., used in this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0072] Figure 1 This is a schematic diagram of the implementation environment of a data processing method provided in an embodiment of this application, such as... Figure 1 As shown, the implementation environment includes a computer device 101, which can be a terminal device or a server; this embodiment does not limit the specific type of device. The computer device 101 is used to execute the data processing method provided in this embodiment.

[0073] Optionally, computer device 101 is a terminal device. A terminal device can be any electronic device that allows human-computer interaction with a user through one or more methods such as a keyboard, touchpad, remote control, voice interaction, or handwriting device. Examples include PCs (Personal Computers), mobile phones, smartphones, PDAs (Personal Digital Assistants), wearable devices, PPCs (Pocket PCs), tablets, smart car systems, smart TVs, smart speakers, and smartwatches.

[0074] A terminal device can refer to one of multiple terminal devices; this embodiment uses only one terminal device as an example. Those skilled in the art will understand that the number of terminal devices can be more or less. For example, there may be only one terminal device, or there may be dozens or hundreds, or even more. This application embodiment does not limit the number or type of terminal devices.

[0075] When computer device 101 is a server, the server can be a single server, a server cluster consisting of multiple servers, or any of the following: a cloud computing platform or a virtualization center. This application embodiment does not limit this. The server and terminal devices communicate via a wired or wireless network. The server has data receiving, data processing, and data sending functions. Of course, the server may also have other functions, which this application embodiment does not limit.

[0076] Those skilled in the art should understand that the above-described terminal devices and servers are merely illustrative examples. Other existing or future terminal devices or servers that are applicable to this application should also be included within the scope of protection of this application, and are hereby incorporated by reference.

[0077] This application provides a data processing method, which can be applied to the above-mentioned... Figure 1 The implementation environment shown is as follows: Figure 2 The flowchart shown in this embodiment of the present application illustrates a data processing method. This method can be implemented by... Figure 1 The computer device 101 in the middle performs the operation. For example... Figure 2 As shown, the method includes the following steps 201 to 204.

[0078] In step 201, based on the three-dimensional seismic data of the target area and the logging data of the long-term shut-in wells included in the target area, the thermal reservoir parameters of each sub-region of the thermal reservoir in the target area are determined.

[0079] In the exemplary embodiments of this application, the target area is a study area, which includes a living area. A long-term shutdown well refers to a well that has been continuously shut down for more than three months.

[0080] In one possible implementation, the process of determining the reservoir parameters of each sub-region of the target area's geothermal reservoir based on 3D seismic data of the target area and logging data from long-term inactive wells within the target area includes: performing fine structural interpretation of the geothermal reservoir based on the 3D seismic data of the target area and logging data from long-term inactive wells within the target area; establishing structural interpretation surfaces and fault surfaces of the geothermal reservoir; and performing fine stratigraphic correlation and sand body correlation to obtain the reservoir parameters of each sub-region of the target area's geothermal reservoir. The reservoir parameters include sand body thickness, porosity, and permeability. Optionally, the reservoir parameters also include structural features, roof depth, and formation thickness.

[0081] In one possible implementation, some long-term shut-in wells lack temperature measurement data. Therefore, to address the problem of insufficient temperature data in certain areas of the thermal reservoir, the sub-regions with available temperature data use hard temperature data, that is, the temperature of the sub-region with available temperature data is taken as the temperature of that sub-region. For areas without temperature data, the temperature data of the oil and gas-bearing layers is used to back-calculate and establish a low-temperature gradient isosurface. Using the low-temperature gradient isosurface constraint, Kriging interpolation is performed on the hard temperature data to establish a temperature field model of the target area, thereby obtaining the temperature of the sub-regions without temperature data in each sub-region of the thermal reservoir of the target area.

[0082] In step 202, based on the thermal storage parameters of each sub-region, a favorable thermal storage region is determined in each sub-region, and the thermal storage parameters of the favorable thermal storage region meet the corresponding parameter requirements.

[0083] Among them, the parameters of the thermal reservoir include sand body thickness, porosity, permeability and temperature.

[0084] In one possible implementation, the process of determining favorable geothermal reservoir areas in each sub-region based on the geothermal reservoir parameters of each sub-region includes: determining a target sub-region in each sub-region as a favorable geothermal reservoir area, wherein the sand body thickness of the target sub-region is greater than a thickness threshold, the porosity is greater than a pore threshold, the permeability is greater than a permeability threshold, and the temperature is greater than a temperature threshold.

[0085] The thickness threshold, porosity threshold, permeability threshold, and temperature threshold are all set based on experience or adjusted according to the implementation environment, and this application embodiment does not limit them. For example, the thickness threshold is 100 meters (m), the porosity threshold is 25%, the permeability threshold is 100 millidarcy (md), and the temperature is 150 degrees Celsius (°C).

[0086] In one possible implementation, the process of determining favorable geothermal reservoir areas in each sub-region based on the geothermal reservoir parameters of each sub-region includes: determining the type of each sub-region based on the geothermal reservoir parameters of each sub-region; and determining the sub-regions in each sub-region whose region type is high porosity, high permeability, thick layer, and high temperature as favorable geothermal reservoir areas.

[0087] Optionally, sub-regions with porosity greater than or equal to 25%, permeability greater than or equal to 100 millidarcy, sand body thickness greater than or equal to 100 meters, and temperature greater than or equal to 150 degrees Celsius are classified as high-porosity, high-permeability, thick-layer, high-temperature. Sub-regions with porosity greater than or equal to 15% and less than 25%, permeability greater than or equal to 10 millidarcy and less than 100 millidarcy, sand body thickness greater than or equal to 20 meters and less than 100 meters, and temperature greater than or equal to 90 degrees Celsius and less than 150 degrees Celsius are classified as medium-porosity, medium-permeability, medium-layer, medium-temperature. Sub-regions with porosity less than 15%, permeability less than 10 millidarcy, sand body thickness less than 20 meters, and temperature greater than or equal to 20 degrees Celsius and less than 90 degrees Celsius are classified as low-porosity, low-permeability, thin-layer, low-temperature.

[0088] In step 203, the geothermal resource volume of each target well is determined based on the logging data of each target well. Any target well is a long-term shut-in well located in a favorable geothermal reservoir area.

[0089] The logging data for the target well includes the porosity and temperature of various regions of the target well.

[0090] In one possible implementation, the process of determining the geothermal resource quantity of each target well based on the logging data of each target well includes: for any target well among the target wells, determining the comprehensive specific heat capacity of each region of the target well based on the porosity of each region of the target well; determining the thermal reservoir evaluation parameters of each region of the target well based on the comprehensive specific heat capacity and the temperature of each region of the target well, the thermal reservoir evaluation parameters of each region of the target well being used to indicate the geothermal resources of that region of the target well; determining the geothermal resource quantity of each region of the target well based on the thermal reservoir evaluation parameters and the net-to-gross ratio of each region of the target well; and determining the geothermal resource quantity of any target well based on the geothermal resource quantity of each region of the target well.

[0091] The comprehensive specific heat capacity of each region of any target well is determined according to the porosity of each region of any target well using the following formula (1).

[0092]

[0093] In the above formula (1), C i Let J be the comprehensive specific heat capacity of the i-th region of any target well (unit: J / kg comprehensive (joules per kilogram of degree Celsius)). Let be the rock density (unit: kg / m³) of the i-th region of any target well. Let J be the specific heat capacity of the rock in the i-th region of any target well (unit: J / kg·℃). Let i be the porosity of the i-th region of any target well. Let be the fluid density (unit: kg / m³) in the i-th region of any target well. Let i be the specific heat capacity of the fluid in the i-th region of any target well (unit: J / kg well volume (joules per kilogram of degrees Celsius)), where i is an integer greater than 0.

[0094] Optionally, the logging data for any target well may also include rock density, rock specific heat capacity, fluid density, and fluid specific heat capacity for each region of the target well.

[0095] In one possible implementation, the thermal reservoir evaluation parameters of each region of any target well are determined according to the following formula (2) based on the comprehensive specific heat capacity and temperature of each region of any target well.

[0096] CpT i =C i *(T i -T0) formula (2)

[0097] In the above formula (2), CpT i Let C be the thermal reservoir evaluation parameter for the i-th region of any target well. i Let T be the comprehensive specific heat capacity of the i-th region of any target well. i Ti represents the temperature of the i-th region of any target well (unit: °C (degrees Celsius)), and T0 represents the ambient temperature (unit: °C (degrees Celsius)).

[0098] In one possible implementation, before determining the geothermal resource quantity of each region of any target well based on the thermal reservoir evaluation parameters and the net-to-gross ratio of each region of any target well, it is necessary to first obtain the net-to-gross ratio of each region of any target well. This application embodiment does not limit the process for determining the net-to-gross ratio of each region of any target well. Optionally, for any region within any region of any target well, the net-to-gross ratio of that region is determined based on the effective rock volume of that region and the effective rock volume of the target well. For example, the quotient between the effective rock volume of any region and the effective rock volume of the target well is used as the net-to-gross ratio of that region.

[0099] For example, the net-to-gross ratio of any region of any target well is determined according to the following formula (3) based on the effective rock volume of any region of any target well and the effective rock volume of any target well.

[0100]

[0101] In the above formula (3), NTG i V represents the net-to-gross ratio of the i-th region of any target well. net V represents the effective rock volume of the i-th region of any target well. total The effective rock volume for any target well.

[0102] In one possible implementation, the geothermal resource quantity of each region of any target well is determined according to the following formula (4) based on the thermal reservoir evaluation parameters of each region of any target well and the net-gross ratio of each region of any target well.

[0103] Q i =V total *NTG i *CpT i Formula (4)

[0104] In the above formula (4), Q i V represents the geothermal resource quantity of the i-th region for any target well. total For any target well, NTG is the effective rock volume. iFor any target well, the net gross ratio of the i-th region is CpT. i Let be the thermal reservoir evaluation parameters for the i-th region of any target well.

[0105] In another possible implementation, the geothermal resource quantity of each region of any target well can be determined based on the thermal reservoir evaluation parameters of each region of any target well and the effective rock volume of each region of any target well.

[0106] For example, the geothermal resource quantity of each region of any target well is determined according to the following formula (5) based on the thermal reservoir evaluation parameters of each region of any target well and the effective rock volume of each region of any target well.

[0107] Q i =V net *CpT i Formula (5)

[0108] In the above formula (5), Q u V represents the geothermal resource quantity of the i-th region for any target well. net CpT represents the effective rock volume of the i-th region of any target well. i Let be the thermal reservoir evaluation parameters for the i-th region of any target well.

[0109] In one possible implementation, the process of determining the geothermal resource quantity of any target well based on the geothermal resource quantity of each region of any target well includes: taking the sum of the geothermal resource quantities of each region of any target well as the resource quantity of any target well. Optionally, the geothermal resource quantity of any target well is determined according to the following formula (6) based on the geothermal resource quantity of each region of any target well.

[0110]

[0111] In the above formula (6), Q represents the geothermal resource quantity of any target well. i Let be the geothermal resource quantity of the i-th region of any target well, and n be the number of regions included in any target well, where n is an integer greater than 0.

[0112] In step 204, the index value of each target well is determined based on the geothermal resource quantity of each target well. The index value of any target well is used to determine whether any target well can be converted into a geothermal well.

[0113] In one possible implementation, the process of determining the index value of each target well based on the geothermal resource quantity of each target well includes: for any target well among the target wells, determining the membership degree of any target well based on the geothermal resource quantity of any target well, the membership degree of any target well is used to indicate the degree of belonging of any target well to different evaluation levels; and normalizing the membership degree of any target well to obtain the index value of any target well.

[0114] This application provides two implementation methods to determine the membership degree of any target well based on the geothermal resource quantity of any target well.

[0115] Method 1: Determine the rating scale corresponding to the geothermal resource quantity of any target well; determine the membership degree of any target well based on the rating scale corresponding to the geothermal resource quantity and the weight parameters corresponding to the geothermal resource quantity.

[0116] The weighting parameter corresponding to the geothermal resource quantity is set based on experience or adjusted according to the implementation environment; this embodiment of the application does not limit this. For example, the weighting parameter corresponding to the geothermal resource quantity is 0.2.

[0117] Optionally, embodiments of this application provide a table showing the correspondence between geothermal resource quantity and evaluation scale, as shown in Table 1 below.

[0118] Table 1

[0119]

[0120] As shown in Table 1 above, when the geothermal resource quantity of any target well is greater than 15*10 15 When the geothermal resource quantity of any target well is within 10*10, the evaluation scale is set to 0.4; when the geothermal resource quantity of any target well is within 10*10, the evaluation scale is set to 0.4. 15 -15*10 15 When the geothermal resource quantity of any target well is between 5*10, the evaluation scale corresponding to the geothermal resource quantity is determined to be 0.3; when the geothermal resource quantity of any target well is between 5*10, the evaluation scale corresponding to the geothermal resource quantity is determined to be 0.3. 15 -10*10 15 When the geothermal resource quantity of any target well is between 5*10, the evaluation scale corresponding to the geothermal resource quantity is determined to be 0.2; when the geothermal resource quantity of any target well is less than 5*10 15 At that time, the rating scale corresponding to the geothermal resource quantity of any target well is determined to be 0.1.

[0121] In one possible implementation, the process of determining the membership degree of any target well based on the rating scale corresponding to the geothermal resource quantity and the weight parameter corresponding to the geothermal resource quantity includes: determining the product between the rating scale corresponding to the geothermal resource quantity and the weight parameter corresponding to the geothermal resource quantity of any target well as the membership degree of any target well.

[0122] Method 2: Determine the rating scale corresponding to the geothermal resource quantity of any target well; determine the rating scale corresponding to the evaluation elements of any target well; determine the membership degree of any target well based on the rating scale corresponding to the geothermal resource quantity, the weight parameters corresponding to the geothermal resource quantity, the rating scale corresponding to the evaluation elements of any target well, and the weight parameters corresponding to the evaluation elements.

[0123] The evaluation elements for any target well include at least one of the following: structural morphology, reservoir depth, reservoir thickness, reservoir temperature, reservoir properties, reservoir-to-land ratio, wellbore conditions, buried pipelines, or yield.

[0124] Optionally, the process of determining the evaluation scale corresponding to the geothermal resource quantity of any target well has been described in the above implementation method one, and will not be repeated here.

[0125] In one possible implementation, the process of determining the rating scale corresponding to the evaluation elements of any target well is similar to the process of determining the rating scale corresponding to the geothermal resource quantity of any target well described above. Optionally, embodiments of this application provide a table showing the correspondence between various evaluation elements and rating scales, as shown in Table 2 below.

[0126] Table 2

[0127]

[0128] As shown in Table 2 above, when the evaluation factor is structural morphology, the rating scale is 0.4 for anticlines, 0.3 for fault noses, 0.2 for complex fracture structures, and 0.1 for slope structures. For other evaluation factors, the rating scales are shown in Table 2 above, and will not be repeated here.

[0129] In one possible implementation, the weight parameters corresponding to each evaluation element are set based on experience or adjusted according to the implementation environment; this application embodiment does not limit this. It should be noted that the sum of the weight parameters corresponding to each evaluation element and the weight parameter corresponding to the geothermal resource quantity is 1. Table 3 below is an exemplary table of the weight parameters corresponding to each evaluation element provided in this application embodiment.

[0130] Table 3

[0131]

[0132] As shown in Table 3 above, the weight parameter corresponding to the structural morphology is 0.025, the weight parameter corresponding to the thermal reservoir lithology is 0.025, and the weight parameters corresponding to other evaluation elements are shown in Table 3 above, which will not be repeated here.

[0133] In one possible implementation, the membership degree of any target well is determined according to the following formula (7) based on the rating scale corresponding to the geothermal resource quantity of any target well, the weight number corresponding to the geothermal resource quantity, the rating scale corresponding to the evaluation element of any target well, and the weight parameter corresponding to the evaluation element.

[0134]

[0135] In the above formula (7), p j Let A be the membership degree of the j-th target well. j Let α be the rating scale corresponding to the geothermal resource quantity of the j-th target well, and let α be the weight parameter corresponding to the geothermal resource quantity. Let i be the rating scale corresponding to the i-th evaluation element of the j-th target well. Let m be the weight parameter corresponding to the i-th evaluation element of the j-th target well, and m be the number of evaluation elements.

[0136] In one possible implementation, after determining the membership degree of any target well, the membership degree of any target well is normalized to obtain the index value of any target well. Optionally, the process of normalizing the membership degree of any target well to obtain the index value of any target well includes: determining the average membership degree and the standard deviation of the membership degree based on the membership degree of each target well; and determining the index value of any target well based on the membership degree, the average membership degree, and the standard deviation of the membership degree.

[0137] For example, the index value of any target well is determined according to the following formula (8) based on the membership degree, the average membership degree and the standard deviation of the membership degree of any target well.

[0138]

[0139] In the above formula (8), PCI j Let p be the index value of the j-th target well. j Let μ be the membership degree of the j-th target well, μ be the average membership degree, and σ be the standard deviation of the membership degree.

[0140] Table 4 below is a table of membership degrees and index values ​​for each well provided in an embodiment of this application.

[0141] Table 4

[0142]

[0143] As shown in Table 4 above, the rating scale for well J9 is 0.3 for structural morphology, 0.4 for reservoir lithology, 0.4 for reservoir burial depth, 0.4 for reservoir thickness, 0.4 for reservoir temperature, 0.4 for reservoir properties, 0.4 for reservoir-to-land ratio, 0.4 for geothermal resources, 0.4 for wellbore conditions, 0.4 for surface pipelines, and 0.4 for yield. Well J9 has a membership degree of 0.3975 and an index value of 99.35. The rating scales, membership degrees, and index values ​​for the various evaluation elements of other wells are shown in Table 4 and will not be elaborated upon here.

[0144] In one possible implementation, after determining the index values ​​of each target well, since the index values ​​of each target well are used to indicate whether each target well can be converted into a geothermal well, it is necessary to determine the number of geothermal wells required for the target area, and then determine whether each target well can be converted into a geothermal well.

[0145] Optionally, based on the heating area of ​​the target region, the heating demand per square meter, and the heating capacity of a single well, a target quantity is determined, which is the number of geothermal wells required for the target region. The index values ​​of each target well are then sorted according to the target order to obtain a ranking result. The target wells with the highest target quantity in the ranking result can be converted into geothermal wells. The target order is from largest to smallest.

[0146] The process of determining the target quantity based on the heating area of ​​the target area, the heating demand per square meter, and the heating capacity of a single well includes: determining the total heating demand of the target area based on the heating area of ​​the target area and the heating demand per square meter; and determining the target quantity based on the total heating demand of the target area and the heating capacity of a single well.

[0147] Optionally, the product of the heating area of ​​the target region and the heating demand per square meter is determined as the total heating demand of the target region. The quotient between the total heating demand of the target region and the heating capacity of a single well is determined as the target quantity.

[0148] For example, the total heating demand of the target area is determined according to the following formula (9) based on the heating area of ​​the target area and the heating demand per square meter.

[0149] Q total =S*q formula (9)

[0150] In the above formula (9), Q total Let S be the total heating demand of the target area, S be the heating area of ​​the target area, and q be the heating demand per square meter.

[0151] The target quantity is determined according to the total heating demand of the target area and the heating capacity of a single well, as follows (10).

[0152]

[0153] In the above formula (10), N well For the target quantity, Q total Q represents the total heating demand for the target area. well For the heating supply of a single well.

[0154] In one possible implementation, before determining the target quantity based on the heating area of ​​the target region, the heating demand per square meter, and the heating capacity of a single well, it is necessary to first determine the heating capacity of a single well. This application embodiment does not limit the method for determining the heating capacity of a single well. Optionally, the heating capacity of a single well can be determined based on the specific heat capacity of water, the density of water, the temperature difference of the well water, and the fluid production of the well.

[0155] For example, the heat supply of a single well is determined according to the following formula (11) based on the specific heat capacity of water, the density of water, the temperature difference of well water and the fluid production of the well.

[0156] Q well =c*ρ*Δt*F formula (11)

[0157] In the above formula (11), Q well Let c be the heat supply of a single well, ρ be the specific heat capacity of water, Δt be the temperature difference of the well water, and F be the fluid production rate of the well. The temperature difference of the well water refers to the difference between the outgoing and returning water temperatures. The temperature difference of the well water and the fluid production rate of the well are set based on experience or adjusted according to the implementation environment; this application does not limit these settings.

[0158] For example, if the target area requires 5 geothermal wells, and there are 10 target wells, these 10 target wells are sorted in descending order based on their index values. The resulting sorting is: Target Well 1, Target Well 2, Target Well 3, Target Well 4, Target Well 5, Target Well 6, Target Well 7, Target Well 8, Target Well 9, Target Well 10. The first 5 wells are determined to be convertible into geothermal wells. That is, Target Well 1, Target Well 2, Target Well 3, Target Well 4, and Target Well 5 are determined to be convertible into geothermal wells.

[0159] The method provided in this application has achieved good application results in a certain area. When converted to a long-term geothermal well, the initial maximum daily fluid production reached 463 cubic meters. During the large, medium, and small drop pressure reduction experiments, the wellhead temperature ranged from 48 to 52 degrees Celsius, the maximum allowable production rate was 55.5 cubic meters per hour, corresponding to a dynamic water level of 129.2 meters, and a single-well geothermal fluid production of 1333 cubic meters per day. Therefore, this area was determined to be a geothermal field with a medium production capacity.

[0160] The above method, when determining whether long-term dormant wells within a target area can be converted into geothermal wells, first identifies favorable geothermal reservoir areas within the target area to ensure that the target area possesses the conditions for resource development. Then, it determines the geothermal resource volume of long-term dormant wells located within these favorable reservoir areas. Based on the geothermal resource volume of each target well within these favorable reservoir areas, it determines the index value for each target well. This index value is used to determine whether the corresponding target well can be converted into a geothermal well. This method allows for a comprehensive, thorough, and accurate determination of the index values ​​of long-term dormant wells, enabling the screening of those that can be converted into geothermal wells. This makes the evaluation of the geothermal resource potential of long-term dormant wells more refined and improves the reliability of geothermal development and utilization. Moreover, since the conversion involves long-term dormant wells into geothermal wells, there is no need to acquire new geothermal wells, thus saving costs.

[0161] Figure 3 The diagram shown is a structural schematic of a data processing device provided in an embodiment of this application. Figure 3 As shown, the device includes:

[0162] The determination module 301 is used to determine the thermal reservoir parameters of each sub-region of the thermal reservoir in the target area based on the three-dimensional seismic data of the target area and the logging data of the long-term shut-in wells included in the target area;

[0163] The determination module 301 is also used to determine the favorable area of ​​thermal storage in each sub-region based on the thermal storage parameters of each sub-region, and the thermal storage parameters of the favorable area of ​​thermal storage meet the corresponding parameter requirements;

[0164] The determination module 301 is also used to determine the geothermal resource volume of each target well based on the logging data of each target well, wherein any target well is a long-term shut-in well located in a favorable geothermal reservoir area;

[0165] The determination module 301 is also used to determine the index value of each target well based on the geothermal resource quantity of each target well. The index value of any target well is used to determine whether any target well can be converted into a geothermal well.

[0166] In one possible implementation, the thermal reservoir parameters include sand body thickness, porosity, permeability, and temperature;

[0167] The determination module 301 is used to determine that the target sub-region in each sub-region is a favorable area for thermal storage. The target sub-region has a sand body thickness greater than a thickness threshold, a porosity greater than a pore threshold, a permeability greater than a permeability threshold, and a temperature greater than a temperature threshold.

[0168] In one possible implementation, the logging data of the target well includes the porosity and temperature of various regions of the target well;

[0169] The determination module 301 is used to determine, for any target well among all target wells, the comprehensive specific heat capacity of each region of any target well based on the porosity of each region of any target well; determine the geothermal reservoir evaluation parameters of each region of any target well based on the comprehensive specific heat capacity and the temperature of each region of any target well, the geothermal reservoir evaluation parameters of each region of any target well are used to indicate the geothermal resources of each region of any target well; determine the geothermal resource quantity of each region of any target well based on the geothermal reservoir evaluation parameters and the net-to-gross ratio of each region of any target well; and determine the geothermal resource quantity of any target well based on the geothermal resource quantity of each region of any target well.

[0170] In one possible implementation, the determining module 301 is further configured to determine, for any region of any target well, the net-to-gross ratio of any region of any target well based on the effective rock volume of any region of any target well and the effective rock volume of any target well.

[0171] In one possible implementation, the determining module 301 is used to determine the membership degree of any target well among the target wells based on the geothermal resource quantity of any target well. The membership degree of any target well is used to indicate the degree of belonging of any target well to different evaluation levels. The membership degree of any target well is normalized to obtain the index value of any target well.

[0172] In one possible implementation, the determining module 301 is used to determine the rating scale corresponding to the geothermal resource quantity of any target well; and to determine the membership degree of any target well based on the rating scale corresponding to the geothermal resource quantity and the weight parameter corresponding to the geothermal resource quantity.

[0173] In one possible implementation, module 301 is used to determine the rating scale corresponding to the geothermal resource quantity of any target well; determine the rating scale corresponding to the evaluation elements of any target well, wherein the evaluation elements of any target well include at least one of the following: structural morphology, reservoir burial depth, reservoir lithology, reservoir thickness, reservoir temperature, reservoir properties, reservoir-to-land ratio, wellbore conditions, buried pipelines, or yield; and determine the membership degree of any target well based on the rating scale corresponding to the geothermal resource quantity, the weight parameter corresponding to the geothermal resource quantity, the rating scale corresponding to the evaluation elements of any target well, and the weight parameter corresponding to the evaluation elements.

[0174] In one possible implementation, the determining module 301 is further configured to determine the target quantity based on the heating area of ​​the target area, the heating demand per square meter, and the heating capacity of a single well. The target quantity is the number of geothermal wells required for the target area.

[0175] The device also includes:

[0176] The sorting module 302 is used to sort the index values ​​of each target well according to the target order to obtain the sorting result;

[0177] The determination module 301 is also used to determine whether the target wells in the sorting results can be converted into geothermal wells.

[0178] In one possible implementation, module 301 is used to determine the total heating demand of the target area based on the heating area of ​​the target area and the heating demand per square meter; and to determine the target quantity based on the total heating demand of the target area and the heating capacity of a single well.

[0179] In one possible implementation, the determining module 301 is further configured to determine the heat supply of a single well based on the specific heat capacity of water, the density of water, the temperature difference of well water, and the fluid production of the well.

[0180] When determining whether long-term dormant wells within a target area can be converted into geothermal wells, the aforementioned device first identifies favorable geothermal reservoir areas within the target area to ensure that the target area possesses the conditions for resource development. Then, it determines the geothermal resource volume of long-term dormant wells located within these favorable reservoir areas. Based on the geothermal resource volume of each target well located within these favorable reservoir areas, it determines the index value for each target well. This index value is used to determine whether the corresponding target well can be converted into a geothermal well. This method allows for a comprehensive, thorough, and accurate determination of the index values ​​of long-term dormant wells, enabling the screening of those that can be converted into geothermal wells. This makes the evaluation of the geothermal resource potential of long-term dormant wells more refined and improves the reliability of geothermal development and utilization. Furthermore, since the conversion involves long-term dormant wells into geothermal wells, there is no need to acquire new geothermal wells, thus saving costs.

[0181] It should be understood that the above-described apparatus is only illustrated by the division of the functional modules described above when implementing its functions. In practical applications, the functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and their specific implementation process can be found in the method embodiments, which will not be repeated here.

[0182] Figure 4 This illustration shows a structural block diagram of a terminal device 400 provided in an exemplary embodiment of this application. The terminal device 400 can be any electronic device product capable of human-computer interaction with a user through one or more methods such as a keyboard, touchpad, remote control, voice interaction, or handwriting device. Examples include PCs (Personal Computers), mobile phones, smartphones, PDAs (Personal Digital Assistants), wearable devices, PPCs (Pocket PCs), tablet computers, smart car systems, smart TVs, smart speakers, and smartwatches.

[0183] Typically, terminal device 400 includes a processor 401 and a memory 402.

[0184] Processor 401 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 401 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 401 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 401 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the screen. In some embodiments, processor 401 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0185] Memory 402 may include one or more computer-readable storage media, which may be non-transitory. Memory 402 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in memory 402 are used to store at least one instruction, which is executed by processor 401 to implement the data processing method provided in the method embodiments of this application.

[0186] In some embodiments, the terminal device 400 may also optionally include a peripheral device interface 403 and at least one peripheral device. The processor 401, memory 402, and peripheral device interface 403 can be connected via a bus or signal line. Each peripheral device can be connected to the peripheral device interface 403 via a bus, signal line, or circuit board. Specifically, the peripheral device includes at least one of the following: a radio frequency circuit 404, a display screen 405, a camera assembly 406, an audio circuit 407, and a power supply 408.

[0187] Peripheral device interface 403 can be used to connect at least one I / O (Input / Output) related peripheral device to processor 401 and memory 402. In some embodiments, processor 401, memory 402 and peripheral device interface 403 are integrated on the same chip or circuit board; in some other embodiments, any one or two of processor 401, memory 402 and peripheral device interface 403 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0188] The radio frequency (RF) circuit 404 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 404 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 404 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF circuit 404 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, etc. The RF circuit 404 can communicate with other terminal devices through at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 404 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.

[0189] Display screen 405 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. When display screen 405 is a touch display screen, it also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to processor 401 for processing. In this case, display screen 405 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one display screen 405, disposed on the front panel of terminal device 400; in other embodiments, there may be at least two display screens, disposed on different surfaces of terminal device 400 or in a folded design; in other embodiments, display screen 405 may be a flexible display screen, disposed on a curved or folded surface of terminal device 400. Furthermore, display screen 405 may be configured as a non-rectangular irregular shape, i.e., a non-rectangular screen. Display screen 405 may be made of materials such as LCD (Liquid Crystal Display) or OLED (Organic Light-Emitting Diode).

[0190] The camera assembly 406 is used to acquire images or videos. Optionally, the camera assembly 406 includes a front-facing camera and a rear-facing camera. Typically, the front-facing camera is located on the front panel of the terminal device 400, and the rear-facing camera is located on the back of the terminal device 400. In some embodiments, there are at least two rear-facing cameras, which are any one of a main camera, a depth-sensing camera, a wide-angle camera, and a telephoto camera, to achieve background blurring by fusion of the main camera and the depth-sensing camera, panoramic shooting by fusion of the main camera and the wide-angle camera, VR (Virtual Reality) shooting, or other fusion shooting functions. In some embodiments, the camera assembly 406 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cool light flash, which can be used for light compensation at different color temperatures.

[0191] The audio circuit 407 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, converting the sound waves into electrical signals that are input to the processor 401 for processing, or input to the radio frequency circuit 404 to achieve voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each located at a different part of the terminal device 400. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert the electrical signals from the processor 401 or the radio frequency circuit 404 into sound waves. The speaker may be a conventional diaphragm speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, the audio circuit 407 may also include a headphone jack.

[0192] Power supply 408 is used to supply power to the various components in terminal device 400. Power supply 408 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When power supply 408 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged via a wired line, while a wireless rechargeable battery is a battery that is charged via a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0193] In some embodiments, the terminal device 400 further includes one or more sensors 409. The one or more sensors 409 include, but are not limited to: an acceleration sensor 410, a gyroscope sensor 411, a pressure sensor 412, an optical sensor 413, and a proximity sensor 414.

[0194] Accelerometer 410 can detect the magnitude of acceleration along the three coordinate axes of a coordinate system established with terminal device 400. For example, accelerometer 410 can be used to detect the components of gravitational acceleration along the three coordinate axes. Processor 401 can control display screen 405 to display the user interface in either a landscape or portrait view based on the gravitational acceleration signal acquired by accelerometer 410. Accelerometer 410 can also be used for games or for acquiring user motion data.

[0195] The gyroscope sensor 411 can detect the orientation and rotation angle of the terminal device 400. The gyroscope sensor 411, in conjunction with the accelerometer sensor 410, can collect 3D motion data from the user on the terminal device 400. Based on the data collected by the gyroscope sensor 411, the processor 401 can perform the following functions: motion sensing (e.g., changing the UI based on the user's tilt), image stabilization during shooting, game control, and inertial navigation.

[0196] The pressure sensor 412 can be disposed on the side bezel of the terminal device 400 and / or the lower layer of the display screen 405. When the pressure sensor 412 is disposed on the side bezel of the terminal device 400, it can detect the user's grip signal on the terminal device 400, and the processor 401 can perform left / right hand recognition or quick operation based on the grip signal collected by the pressure sensor 412. When the pressure sensor 412 is disposed on the lower layer of the display screen 405, the processor 401 can control the operable controls on the UI interface based on the user's pressure operation on the display screen 405. The operable controls include at least one of button controls, scroll bar controls, icon controls, and menu controls.

[0197] Optical sensor 413 is used to collect ambient light intensity. In one embodiment, processor 401 can control the display brightness of display screen 405 based on the ambient light intensity collected by optical sensor 413. Specifically, when the ambient light intensity is high, the display brightness of display screen 405 is increased; when the ambient light intensity is low, the display brightness of display screen 405 is decreased. In another embodiment, processor 401 can also dynamically adjust the shooting parameters of camera assembly 406 based on the ambient light intensity collected by optical sensor 413.

[0198] The proximity sensor 414, also known as a distance sensor, is typically located on the front panel of the terminal device 400. The proximity sensor 414 is used to detect the distance between the user and the front of the terminal device 400. In one embodiment, when the proximity sensor 414 detects that the distance between the user and the front of the terminal device 400 is gradually decreasing, the processor 401 controls the display screen 405 to switch from a screen-on state to a screen-off state; when the proximity sensor 414 detects that the distance between the user and the front of the terminal device 400 is gradually increasing, the processor 401 controls the display screen 405 to switch from a screen-off state to a screen-on state.

[0199] Those skilled in the art will understand that Figure 4 The structure shown does not constitute a limitation on the terminal device 400, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0200] Figure 5This is a schematic diagram of the server structure provided in the embodiments of this application. The server 500 can vary considerably due to different configurations or performance. It may include one or more Central Processing Units (CPUs) 501 and one or more memories 502. The one or more memories 502 store at least one line of program code, which is loaded and executed by the one or more processors 501 to implement the data processing methods provided in the various method embodiments described above. Of course, the server 500 may also have wired or wireless network interfaces, a keyboard, and input / output interfaces for input and output. The server 500 may also include other components for implementing device functions, which will not be elaborated here.

[0201] In an exemplary embodiment, a computer-readable storage medium is also provided, which stores at least one piece of program code that is loaded and executed by a processor to enable a computer to implement any of the above-described data processing methods.

[0202] Optionally, the aforementioned computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device, etc.

[0203] In an exemplary embodiment, a computer program or computer program product is also provided, which stores at least one computer instruction that is loaded and executed by a processor to enable the computer to implement any of the above-described data processing methods.

[0204] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, data stored, data displayed, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0205] It should be understood that "multiple" as used in this article refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0206] The above description is merely an exemplary embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the principles of this application should be included within the protection scope of this application.

Claims

1. A data processing method, characterized in that, The method includes: Based on the 3D seismic data of the target area and the logging data of the long-term shut-in wells included in the target area, the thermal reservoir parameters of each sub-region of the thermal reservoir in the target area are determined; Based on the thermal storage parameters of each sub-region, a favorable thermal storage region is determined in each sub-region, and the thermal storage parameters of the favorable thermal storage region meet the corresponding parameter requirements. Based on the logging data of each target well, the geothermal resource volume of each target well is determined, and any target well is a long-term shut-in well located in the favorable area of ​​the geothermal reservoir. Based on the geothermal resource quantity of each target well, the index value of each target well is determined, and the index value of any target well is used to determine whether any target well can be converted into a geothermal well.

2. The method according to claim 1, characterized in that, The thermal reservoir parameters include sand body thickness, porosity, permeability, and temperature; The process of determining favorable geothermal storage areas within each sub-region based on geothermal storage parameters includes: The target sub-regions in each of the sub-regions are determined as the favorable regions of the thermal reservoir. The sand body thickness of the target sub-region is greater than the thickness threshold, the porosity is greater than the pore threshold, the permeability is greater than the permeability threshold, and the temperature is greater than the temperature threshold.

3. The method according to claim 1, characterized in that, The logging data of the target well includes the porosity and temperature of various regions of the target well; The determination of the geothermal resource quantity of each target well based on the logging data of each target well includes: For any target well among the target wells, the comprehensive specific heat capacity of each region of the target well is determined based on the porosity of each region of the target well. Based on the comprehensive specific heat capacity and temperature of each region of any target well, the thermal reservoir evaluation parameters of each region of any target well are determined. The thermal reservoir evaluation parameters of any region of any target well are used to indicate the geothermal resources of any region of any target well. Based on the thermal reservoir evaluation parameters of each region of any target well and the net-to-gross ratio of each region of any target well, determine the geothermal resource quantity of each region of any target well. The geothermal resource quantity of any target well is determined based on the geothermal resource quantity of each region of the target well.

4. The method according to claim 3, characterized in that, The method further includes: For any region within any region of any target well, the net-to-gross ratio of any region of any target well is determined based on the effective rock volume of any region of any target well and the effective rock volume of any target well.

5. The method according to any one of claims 1 to 4, characterized in that, The step of determining the index value of each target well based on the geothermal resource quantity of each target well includes: For any target well among the target wells, the membership degree of any target well is determined based on the geothermal resource quantity of the target well. The membership degree of any target well is used to indicate the degree to which the target well belongs to different evaluation levels. The membership degree of any target well is normalized to obtain the index value of any target well.

6. The method according to claim 5, characterized in that, The step of determining the membership degree of any target well based on its geothermal resource quantity includes: Determine the rating scale corresponding to the geothermal resource quantity of any of the target wells; The membership degree of any target well is determined based on the rating scale corresponding to the geothermal resource quantity and the weight parameter corresponding to the geothermal resource quantity.

7. The method according to claim 5, characterized in that, The step of determining the membership degree of any target well based on its geothermal resource quantity includes: Determine the rating scale corresponding to the geothermal resource quantity of any of the target wells; Determine the rating scale corresponding to the evaluation elements of any target well. The evaluation elements of any target well include at least one of the following: structural morphology, reservoir burial depth, reservoir lithology, reservoir thickness, reservoir temperature, reservoir properties, reservoir-to-land ratio, wellbore conditions, buried pipelines, or yield. The membership degree of any target well is determined based on the rating scale corresponding to the geothermal resource quantity, the weight parameter corresponding to the geothermal resource quantity, the rating scale corresponding to the evaluation element of any target well, and the weight parameter corresponding to the evaluation element.

8. The method according to any one of claims 1 to 4, characterized in that, The method further includes: Based on the heating area of ​​the target area, the heating demand per square meter, and the heating capacity of a single well, the target quantity is determined, which is the number of geothermal wells required for the target area. The index values ​​of each target well are sorted according to the target order to obtain the sorting result; The target wells that determine the number of top targets in the sorting results can be converted into the geothermal wells.

9. The method according to claim 8, characterized in that, The determination of the target quantity based on the heating area of ​​the target region, the heating demand per square meter, and the heating capacity of a single well includes: Based on the heating area of ​​the target area and the heating demand per square meter, determine the total heating demand of the target area; The target quantity is determined based on the total heating demand of the target area and the heating capacity of the single well.

10. The method according to claim 8, characterized in that, The method further includes: The heat supply of a single well is determined based on the specific heat capacity of water, the density of water, the temperature difference of well water, and the fluid production of the well.

11. A data processing apparatus, characterized in that, The device includes: The determination module is used to determine the thermal reservoir parameters of each sub-region of the thermal reservoir in the target area based on the three-dimensional seismic data of the target area and the logging data of the long-term shut-in wells included in the target area; The determining module is further configured to determine a favorable thermal storage area in each sub-region based on the thermal storage parameters of each sub-region, wherein the thermal storage parameters of the favorable thermal storage area meet the corresponding parameter requirements; The determining module is also used to determine the geothermal resource volume of each target well based on the logging data of each target well, wherein any target well is a long-term shut-in well located in the favorable area of ​​the thermal reservoir; The determining module is further configured to determine the index value of each target well based on the geothermal resource quantity of each target well, and the index value of any target well is used to determine whether any target well can be converted into a geothermal well.

12. A computer device, characterized in that, The computer device includes a processor and a memory, the memory storing at least one piece of program code, the at least one piece of program code being loaded and executed by the processor to enable the computer device to implement the data processing method as described in any one of claims 1 to 10.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one piece of program code, which is loaded and executed by a processor to enable the computer to implement the data processing method as described in any one of claims 1 to 10.

14. A computer program product, characterized in that, The computer program product stores at least one computer instruction, which is loaded and executed by a processor to enable the computer to implement the data processing method as described in any one of claims 1 to 10.

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