Hot dry rock resource quantity evaluation method and device, equipment and storage medium

Abstract

The invention discloses a hot dry rock resource quantity evaluation method, apparatus and device, and a storage medium. The method comprises the steps of establishing a regional three-dimensional geological model based on geological data information of a target region; establishing a transient heat transfer equation, and determining boundary conditions of the regional three-dimensional geologic model according to supply information and loss information of the hot dry rock in the target region; carrying out numerical simulation by utilizing a finite element method based on the boundary condition and the transient heat transfer equation to obtain a simulation result; and selecting the hot dry rock reservoir from a simulation result, and evaluating the hot dry rock resource quantity of the hot dry rock reservoir by utilizing a self-adaptive heat storage volume method. According to the method, the boundary condition of the regional three-dimensional geologic model is determined according to the supply information and the loss information of the hot dry rock in the target region, then numerical simulation is carried out by utilizing the finite element method based on the boundary condition and the transient heat transfer equation, and finally the hot dry rock resource quantity is evaluated by utilizing the self-adaptive heat storage volume method. And the accuracy of evaluating the hot dry rock resource quantity is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of geothermal resource exploration technology, and in particular to a method, apparatus, equipment and storage medium for evaluating the quantity of dry hot rock resources. Background Technology

[0002] Currently, with the continuous improvement of people's living standards, the requirements for living and housing environments are also constantly increasing. Reducing carbon, nitrogen and sulfur emissions is of great significance. Geothermal energy is a renewable and clean energy source that does not emit nitrogen oxides. Moreover, geothermal energy resources are abundant, and the dry hot rock resources alone are expected to become a replacement energy source, making the prospect of resource exploration very broad.

[0003] The formation mechanism of hot dry rocks is more complex, and their resource distribution is extremely uneven. Geothermal resource assessment is a standard practice in the geothermal industry for evaluating geothermal systems and their potential power generation capacity, playing a crucial role in quantifying the thermal energy available for power generation or direct use. The success of geothermal development projects depends on accurate resource assessment methods, which play a pivotal role in decision-making, financing, development, and operation of geothermal projects. However, in the assessment of hot dry rock resources, current research mainly focuses on the static spatial distribution of heat, without considering the dynamic replenishment and loss of underground heat sources. Research on the dynamic evolution of heat in hot dry rocks and its controlling factors is still in its early stages. The assessment of comprehensive geothermal systems, including heat, reservoir, and infiltration, needs further exploration. Therefore, the accuracy of hot dry rock resource assessment needs to be improved.

[0004] Therefore, there is an urgent need for a method to evaluate the quantity of hot dry rock resources, which can effectively improve the accuracy of hot dry rock resource assessment. Summary of the Invention

[0005] The main objective of this invention is to provide a method, apparatus, equipment, and storage medium for evaluating the quantity of hot dry rock resources, aiming to solve the technical problem of low accuracy in the evaluation of hot dry rock resources in the prior art.

[0006] To achieve the above objectives, the present invention provides a method for evaluating the quantity of hot dry rock resources, the method comprising the following steps:

[0007] Establish a three-dimensional geological model of the target area based on geological data and information of the target area;

[0008] A transient heat transfer equation is established, and the boundary conditions of the three-dimensional geological model of the target area are determined based on the supply and loss information of the dry hot rock in the target area.

[0009] Based on the boundary conditions and the transient heat transfer equation, numerical simulation was carried out using the finite element method to obtain simulation results.

[0010] Dry hot rock reservoirs were selected from the simulation results, and the dry hot rock resources of the dry hot rock reservoirs were evaluated using the adaptive thermal reservoir volume method.

[0011] Optionally, the step of establishing a regional three-dimensional geological model based on geological data information of the target area includes:

[0012] Based on the structural morphology and reservoir distribution information of the target area, an initial geological model is established using model construction software.

[0013] Based on the initial geological model, a three-dimensional geological model of the region is established according to the heat source depth information, heat source volume information, stratum thickness information, and stratum morphology information of the target area.

[0014] After the three-dimensional geological model of the area is established, the stratigraphic interface is generated using contour data files;

[0015] Based on the contour data of different top and bottom interfaces of the stratigraphic interfaces, parametric surfaces of different top surfaces of the stratigraphic layers are established to generate a regional three-dimensional geological model containing the top surfaces of the stratigraphic layers.

[0016] Optionally, after the step of establishing a regional three-dimensional geological model based on the geological data information of the target area, the method further includes:

[0017] Based on the three-dimensional geological model of the region, determine the thermal reservoir information, caprock distribution pattern information, heat source distribution pattern information, target thermal fluid information, and heat transfer channel information of the target region;

[0018] The thermal parameters of the target area are obtained and the thermal parameters are assigned to different geological bodies in the three-dimensional geological model of the area. The thermal parameters include the thermal conductivity, density and specific heat capacity of the strata.

[0019] Based on the thermal reservoir information, caprock distribution information, heat source distribution information, target thermal fluid information, and heat transfer channel information of the target area, the replenishment and loss information of the dry hot rock in the target area are determined.

[0020] Optionally, the step of establishing the transient heat transfer equation includes:

[0021] The micro-element control volume is determined, and when a temperature gradient exists in the micro-element control volume, the thermal conductivity of each control surface in the micro-element control volume and the amount of energy generated within the micro-element control volume are determined.

[0022] If the micro-element control volume is under unsteady-state conditions, the total thermal energy stored in the micro-element control volume is determined based on the density and specific heat capacity of the micro-element control volume.

[0023] An energy conservation equation is established based on the energy generated within the micro-element control volume and the total thermal energy stored within the micro-element control volume.

[0024] The transient heat transfer equation is determined using the thermal conductivity of each control surface in the micro-element control volume and the energy conservation equation.

[0025] Optionally, the boundary conditions include magma chamber temperature, geothermal heat flux, rock radioactive heat generation rate, and surface temperature. The step of conducting numerical simulation using the finite element method based on the boundary conditions and the transient heat transfer equation to obtain simulation results includes:

[0026] The magma chamber temperature, the geothermal heat flow value, the rock radioactive heat generation rate, the surface temperature, the transient heat transfer equation, and the magma chamber formation time are obtained.

[0027] The formation time of the magma chamber is used as the simulation time in the numerical simulation, and the temperature of the magma chamber, the geothermal heat flow value, the radioactive heat generation rate of the rock, and the surface temperature are used as the simulation boundary conditions.

[0028] During the simulation time, numerical simulations are conducted using the finite element method based on the transient heat transfer equations and the simulation boundary conditions to obtain simulation results.

[0029] Optionally, the step of selecting hot dry rock reservoirs from the simulation results and evaluating the hot dry rock resources of the hot dry rock reservoirs using the adaptive reservoir volume method includes:

[0030] According to the preset hot dry rock assessment requirements, strata with temperatures higher than preset temperature thresholds and depths less than preset depth thresholds are selected from the simulation results as hot dry rock reservoirs.

[0031] The dry hot rock resource quantity of the dry hot rock reservoir is evaluated using the target formula corresponding to the adaptive thermal reservoir volume method.

[0032] The target formula is:

[0033]

[0034] In the formula, E represents the amount of hot dry rock resources, n is the number of micro-elements, and V n For the volume of the micro-element rock mass, ρ n For density, c n For specific heat capacity, T n T represents the temperature of the rock. r The reference temperature is the average surface temperature.

[0035] Optionally, the replenishment information of the dry hot rock in the target area includes at least one of magma heat release information, geothermal heat flow information, and radioactive heat generation information, and the loss information of the dry hot rock in the target area includes surface heat dissipation information.

[0036] Furthermore, to achieve the above objectives, the present invention also proposes a device for evaluating the quantity of hot dry rock resources, the device comprising:

[0037] The model building module is used to build a three-dimensional geological model of the target area based on geological data information of the target area.

[0038] The boundary determination module is used to establish transient heat transfer equations and determine the boundary conditions of the three-dimensional geological model of the target area based on the supply and loss information of the dry hot rock in the target area.

[0039] The numerical simulation module is used to perform numerical simulations using the finite element method based on the boundary conditions and the transient heat transfer equations, and to obtain simulation results.

[0040] The resource quantity evaluation module is used to select dry hot rock reservoirs from the simulation results and evaluate the dry hot rock resources of the dry hot rock reservoirs using the adaptive thermal reservoir volume method.

[0041] Furthermore, to achieve the above objectives, the present invention also proposes a device for evaluating the quantity of hot dry rock resources. The device includes: a memory, a processor, and a hot dry rock resource evaluation program stored in the memory and executable on the processor. The hot dry rock resource evaluation program is configured to implement the steps of the hot dry rock resource evaluation method described above.

[0042] Furthermore, to achieve the above objectives, the present invention also proposes a storage medium storing a hot dry rock resource quantity evaluation program, which, when executed by a processor, implements the steps of the hot dry rock resource quantity evaluation method described above.

[0043] This invention discloses a method for establishing a three-dimensional geological model of a target area based on geological data; establishing a transient heat transfer equation and determining the boundary conditions of the three-dimensional geological model based on the recharge and loss information of hot dry rocks in the target area; conducting numerical simulation using the finite element method based on the boundary conditions and the transient heat transfer equation to obtain simulation results; selecting hot dry rock reservoirs from the simulation results and evaluating the hot dry rock resource quantity of the reservoirs using the adaptive reservoir volume method. Because this invention determines the boundary conditions of the three-dimensional geological model based on the recharge and loss information of hot dry rocks in the target area, then conducts numerical simulation using the finite element method based on the boundary conditions and the transient heat transfer equation, and finally evaluates the hot dry rock resource quantity of the selected reservoirs using the adaptive reservoir volume method, compared with existing technologies, this invention effectively improves the accuracy of hot dry rock resource quantity assessment. Attached Figure Description

[0044] Figure 1 This is a flowchart illustrating the first embodiment of the method for evaluating the quantity of hot dry rock resources according to the present invention.

[0045] Figure 2 This is a flowchart illustrating the second embodiment of the method for evaluating the quantity of hot dry rock resources according to the present invention.

[0046] Figure 3 This is a schematic diagram of a regional three-dimensional geological model in the dry hot rock resource evaluation method of the present invention;

[0047] Figure 4 This is a flowchart illustrating the third embodiment of the method for evaluating the quantity of hot dry rock resources of the present invention.

[0048] Figure 5 This is a structural block diagram of the first embodiment of the hot dry rock resource evaluation device of the present invention;

[0049] Figure 6 This is a schematic diagram of the structure of the dry hot rock resource evaluation equipment in the hardware operating environment involved in the embodiments of the present invention.

[0050] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0051] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0052] This invention provides a method for evaluating the quantity of hot dry rock resources, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the method for evaluating the quantity of hot dry rock resources according to the present invention.

[0053] In this embodiment, the method for evaluating the quantity of hot dry rock resources includes steps S10 to S40:

[0054] Step S10: Establish a three-dimensional geological model of the target area based on geological data information of the target area.

[0055] It should be noted that the executing entity in this embodiment can be a computer server device with data processing, network communication, and program execution functions applied in geothermal resource exploration scenarios, such as a personal computer, laptop, mobile phone, smartwatch, etc., or an electronic device capable of realizing the above functions, a dry hot rock resource assessment device, etc. The following uses a dry hot rock resource assessment device as an example to illustrate this embodiment and the subsequent embodiments.

[0056] It should be understood that the aforementioned target areas can be selected after comprehensively analyzing information from multiple aspects such as geological conditions, physical exploration, remote sensing technology, and geological surveys, and assessing the resource potential and exploration risks of each area based on the analysis results.

[0057] It should be explained that the geological data mentioned above may include, but is not limited to, information on the depth of the heat source, the volume of the heat source, the thickness of the strata, and the morphology of the strata.

[0058] It should be noted that a regional 3D geological model is a 3D model that utilizes computer technology to combine tools such as spatial information management, geological interpretation, spatial analysis and prediction, geoscientific statistics, entity content analysis, and graphical visualization in a 3D environment for geological analysis. This type of model can comprehensively describe the geological conditions of a target area, providing a scientific basis for various geological and engineering activities.

[0059] In practice, geological exploration and investigation can be carried out on the target area to collect geological data. Then, based on the research objectives and geological data, the boundary range of the model is determined, important fault planes are identified, and the stratigraphic planes are modeled. Stratigraphic interfaces are identified and fitted, stratigraphic thickness is estimated, and the stratification points are corrected to ensure the accuracy and smoothness of the stratigraphic planes. Finally, based on the stratigraphic plane model and macroscopic topological relationships, a closed geological body is generated, and the establishment of a three-dimensional geological model of the region is completed.

[0060] Step S20: Establish the transient heat transfer equation and determine the boundary conditions of the three-dimensional geological model of the target area based on the replenishment and loss information of the dry hot rock in the target area.

[0061] It should be noted that the steps for establishing the transient heat transfer equation include S201 to S204:

[0062] Step S201: Determine the micro-element control volume, and when a temperature gradient exists in the micro-element control volume, determine the thermal conductivity rate of each control surface in the micro-element control volume and the amount of energy generated within the micro-element control volume.

[0063] In practical implementation, a micro-element control volume dxdydz can be identified. When a temperature gradient exists within this micro-element control volume, heat conduction will occur at each control surface within the volume. Let q be the heat conduction rate perpendicular to the coordinate positions x, y, and z, and the heat conduction rate of each control surface. x q y q z By using Taylor series expansion and neglecting higher-order terms, the thermal conductivity of each control surface can be obtained as follows:

[0064]

[0065] It should be noted that if there is continuous heat generation inside the rock within the micro-element control volume, then the amount of energy generated within the micro-element control volume is determined. It can be represented as:

[0066]

[0067] In the formula, The power generation rate is expressed in watts per cubic meter (W / m³). 3 .

[0068] Step S202: If the micro-element control volume is under unsteady-state conditions, then determine the total thermal energy stored in the micro-element control volume based on the density and specific heat capacity of the micro-element control volume.

[0069] It should be understood that if the micro-element control volume is under non-steady-state conditions, the total thermal energy stored within the micro-element control volume will also change, and the total stored thermal energy will... It can be represented as:

[0070]

[0071] In the formula, ρ is density, and c p t represents specific heat capacity, T represents temperature, and t represents time.

[0072] Step S203: Establish an energy conservation equation based on the energy generated within the micro-element control volume and the total thermal energy stored within the micro-element control volume.

[0073] It should be noted that the energy conservation equation is: In the formula, and Let represent the energy supplied and the energy lost, respectively, which can be represented by the thermal conductivity rate. Rearranging the energy conservation equation yields the initial equation:

[0074]

[0075] Step S204: Determine the transient heat transfer equation using the thermal conductivity of each control surface in the micro-element control volume and the energy conservation equation.

[0076] It should be noted that the thermal conductivity rate of each control surface in the micro-element control volume can be calculated using the Fourier equation, yielding a modified formula for the thermal conductivity rate:

[0077]

[0078] In the formula, k effx k effy k effz These represent the effective thermal conductivity in the x, y, and z directions, respectively.

[0079] Substituting the modified formula for thermal conductivity into the initial equation, we obtain the first transient heat transfer equation:

[0080]

[0081] It should be noted that this first transient heat transfer equation provides a fundamental method for analyzing heat conduction processes, from which the temperature field distribution T(t,x,y,z) at different times can be obtained. Its simplified form is often used; if the thermal conductivity is constant and anisotropic, it simplifies to the second transient heat transfer equation:

[0082]

[0083] In the formula, α is the thermal diffusivity.

[0084] Will Substituting into the second transient heat transfer equation, where k eff To obtain the effective thermal conductivity, the second transient heat transfer equation can be simplified to:

[0085]

[0086] It should be noted that, It is the gradient operator, where q is the heat flux density (heat flux) vector. Since the heat flux density gradient is used, the simplified second transient heat transfer equation described above is the final transient heat transfer equation:

[0087]

[0088] It should be explained that the above transient heat transfer equation can be used to calculate the whole-area temperature field (i.e., temperature distribution) of the target region.

[0089] Step S30: Based on the boundary conditions and the transient heat transfer equation, numerical simulation is carried out using the finite element method to obtain simulation results.

[0090] It should be noted that the boundary conditions include magma chamber temperature, geothermal heat flow value, rock radioactive heat generation rate, and surface temperature.

[0091] It is understood that in this embodiment, the magma chamber temperature can be determined by geological data, the geothermal flow value can be the average geothermal flow value of the basin, the rock emissivity of heat generation can be determined by experimental testing, and the surface temperature can be the average surface temperature in recent years.

[0092] In a specific implementation, the magma chamber temperature, the geothermal heat flow value, the rock radioactive heat generation rate, the surface temperature, the transient heat transfer equation, and the magma chamber formation time can be obtained. The magma chamber formation time is used as the simulation time for numerical simulation, and the magma chamber temperature, the geothermal heat flow value, the rock radioactive heat generation rate, and the surface temperature are used as simulation boundary conditions. Within the simulation time, the finite element method is used to conduct numerical simulation based on the transient heat transfer equation and the simulation boundary conditions to obtain simulation results.

[0093] Step S40: Select a hot dry rock reservoir from the simulation results and evaluate the hot dry rock resource quantity of the hot dry rock reservoir using the adaptive thermal reservoir volume method.

[0094] It should be noted that, according to the preset hot dry rock assessment requirements, strata with temperatures higher than a preset temperature threshold and depths less than a preset depth threshold can be selected from the simulation results as hot dry rock reservoirs.

[0095] The dry hot rock resource quantity of the dry hot rock reservoir is evaluated using the target formula corresponding to the adaptive thermal reservoir volume method.

[0096] The target formula is:

[0097]

[0098] In the formula, E represents the amount of hot dry rock resources, n is the number of micro-elements, and V n For the volume of the micro-element rock mass, ρ n For density, c n For specific heat capacity, T n T represents the temperature of the rock. r The reference temperature is the average surface temperature.

[0099] In this embodiment, strata with a temperature higher than 180°C and a depth of less than 10 km can be selected from the simulation results as hot dry rock reservoirs.

[0100] This embodiment discloses the establishment of a regional three-dimensional geological model based on geological data of a target area; the establishment of a transient heat transfer equation; and the determination of the boundary conditions of the regional three-dimensional geological model based on the recharge and loss information of hot dry rocks in the target area. Based on the boundary conditions and the transient heat transfer equation, numerical simulation is carried out using the finite element method to obtain simulation results. Hot dry rock reservoirs are selected from the simulation results, and the hot dry rock resource quantity of the hot dry rock reservoirs is evaluated using the adaptive reservoir volume method. Since this embodiment determines the boundary conditions of the regional three-dimensional geological model based on the recharge and loss information of hot dry rocks in the target area, then conducts numerical simulation using the finite element method based on the boundary conditions and the transient heat transfer equation, and finally evaluates the hot dry rock resource quantity of the hot dry rock reservoirs selected from the simulation results using the adaptive reservoir volume method, compared with the prior art, this embodiment effectively improves the accuracy of hot dry rock resource quantity assessment.

[0101] refer to Figure 2 , Figure 2 This is a flowchart illustrating the second embodiment of the method for evaluating the quantity of hot dry rock resources according to the present invention.

[0102] Based on the first embodiment described above, in this embodiment, step S10 includes steps S101 to S104:

[0103] Step S101: Based on the structural morphology and reservoir distribution information of the target area, select model construction software to establish an initial geological model.

[0104] Step S102: Based on the initial geological model, establish a three-dimensional geological model of the region according to the heat source depth information, heat source volume information, stratum thickness information and stratum morphology information of the target area.

[0105] Step S103: After the three-dimensional geological model of the area is established, the stratigraphic interface is generated using the contour data file.

[0106] Step S104: Based on the contour data of the top and bottom interfaces of different strata in the stratigraphic interface, establish parametric surfaces of the top surfaces of different strata respectively, and generate a regional three-dimensional geological model containing the top surfaces of the strata.

[0107] It should be noted that a contour data file is a collection of information containing the data required for contour line generation. This data is typically used in fields such as geography, meteorology, and geology to visualize terrain, weather patterns, geological features, etc.

[0108] It should be understood that generating stratigraphic interfaces using contour data files offers advantages such as intuitiveness, accuracy, and flexibility. For example, referencing... Figure 3 , Figure 3 This diagram illustrates a regional three-dimensional geological model in the method for evaluating the amount of hot dry rock resources presented in this invention. The magma chamber is an important geological structural feature. A magma chamber is a storage space for underground magma, typically located within the Earth's crust, and consists of a mixture of solid (crystals) and liquid (melt). It is a relatively closed system within which magma can be stored, cooled, and crystallized for extended periods. Information regarding the morphology, size, distribution, and partial melting state of the magma chamber is crucial for assessing the potential risks of volcanic activity, the development and utilization of geothermal resources, and the exploration of mineral resources.

[0109] This embodiment discloses a method for establishing an initial geological model using model construction software based on the structural morphology and reservoir distribution information of the target area. Based on this initial geological model, a regional three-dimensional geological model is established using the heat source depth, heat source volume, stratigraphic thickness, and stratigraphic morphology information of the target area. After the regional three-dimensional geological model is established, stratigraphic interfaces are generated using contour data files. Based on the contour data of different stratigraphic top and bottom interfaces within the stratigraphic interfaces, parametric surfaces of different stratigraphic top surfaces are established, generating a regional three-dimensional geological model containing the stratigraphic top surfaces. Compared to existing technologies, this embodiment improves the accuracy and flexibility of the regional three-dimensional geological model, thereby increasing the accuracy of evaluating the dry hot rock resource quantity of dry hot rock reservoirs based on the regional three-dimensional geological model.

[0110] refer to Figure 4 , Figure 4 This is a flowchart illustrating the third embodiment of the method for evaluating the quantity of hot dry rock resources according to the present invention.

[0111] Based on the above embodiments, in this embodiment, after step S10, steps S105 to S107 are further included:

[0112] Step S105: Determine the thermal reservoir information, caprock distribution pattern information, heat source distribution pattern information, target thermal fluid information, and heat transfer channel information of the target area based on the three-dimensional geological model of the area.

[0113] Step S106: Obtain the thermal parameters of the target area and assign the thermal parameters to different geological bodies in the three-dimensional geological model of the area. The thermal parameters include the thermal conductivity, density and specific heat capacity of the strata.

[0114] Step S107: Based on the thermal reservoir information, caprock distribution pattern information, heat source distribution pattern information, target thermal fluid information, and heat transfer channel information of the target area, determine the replenishment and dissipation information of the dry hot rock in the target area.

[0115] It should be noted that the replenishment information of the dry hot rock in the target area includes at least one of magma heat release information, terrestrial heat flow information, and radioactive heat generation information, and the loss information of the dry hot rock in the target area includes surface heat dissipation information.

[0116] This embodiment discloses the following steps: establishing a three-dimensional geological model of a target area based on geological data; determining the geothermal reservoir information, caprock distribution pattern, heat source distribution pattern, target thermal fluid information, and heat transfer channel information of the target area based on the three-dimensional geological model; acquiring thermal parameters of the target area and assigning these parameters to different geological bodies in the three-dimensional geological model, the thermal parameters including formation thermal conductivity, density, and specific heat capacity; determining the recharge and loss information of hot dry rocks in the target area based on the geothermal reservoir information, caprock distribution pattern, heat source distribution pattern, target thermal fluid information, and heat transfer channel information; establishing a transient heat transfer equation and determining the boundary conditions of the three-dimensional geological model based on the recharge and loss information of hot dry rocks in the target area; conducting numerical simulation using the finite element method based on the boundary conditions and the transient heat transfer equation to obtain simulation results; selecting hot dry rock reservoirs from the simulation results and evaluating the hot dry rock resource quantity of the hot dry rock reservoirs using the adaptive geothermal reservoir volume method. Because this embodiment establishes a regional three-dimensional geological model based on geological data, assigns heat transfer parameters to the geological body, and conducts finite element simulation based on transient heat transfer equations to consider heat loss and replenishment, it effectively improves the accuracy of assessing the amount of dry hot rock resources, thereby providing scientific guidance for geothermal energy exploration and development.

[0117] Furthermore, this embodiment of the invention also proposes a storage medium storing a hot dry rock resource quantity evaluation program, which, when executed by a processor, implements the steps of the hot dry rock resource quantity evaluation method described above.

[0118] Reference Figure 5 , Figure 5 This is a structural block diagram of the first embodiment of the dry hot rock resource evaluation device of the present invention.

[0119] like Figure 5 As shown, the dry hot rock resource evaluation device proposed in this embodiment of the invention includes: a model establishment module 501, a boundary determination module 502, a numerical simulation module 503, and a resource evaluation module 504.

[0120] The model building module 501 is used to build a three-dimensional geological model of the target area based on geological data information of the target area.

[0121] The boundary determination module 502 is used to establish transient heat transfer equations and determine the boundary conditions of the three-dimensional geological model of the target area based on the replenishment and loss information of the dry hot rock in the target area.

[0122] The numerical simulation module 503 is used to conduct numerical simulations using the finite element method based on the boundary conditions and the transient heat transfer equations, and to obtain simulation results.

[0123] The resource quantity evaluation module 504 is used to select dry hot rock reservoirs from the simulation results and evaluate the dry hot rock resource quantity of the dry hot rock reservoirs using the adaptive thermal reservoir volume method.

[0124] The boundary determination module 502 is further configured to determine the micro-element control volume, and when a temperature gradient exists in the micro-element control volume, determine the thermal conductivity of each control surface in the micro-element control volume and the amount of energy generated within the micro-element control volume; if the micro-element control volume is under unsteady-state conditions, determine the total thermal energy stored within the micro-element control volume based on the density and specific heat capacity of the micro-element control volume; establish an energy conservation equation based on the amount of energy generated within the micro-element control volume and the total thermal energy stored within the micro-element control volume; and determine the transient heat transfer equation using the thermal conductivity of each control surface in the micro-element control volume and the energy conservation equation.

[0125] The numerical simulation module 503 is further configured to acquire the magma chamber temperature, the geothermal heat flow value, the rock radioactive heat generation rate, the surface temperature, the transient heat transfer equation, and the magma chamber formation time; use the magma chamber formation time as the simulation time for the numerical simulation, and use the magma chamber temperature, the geothermal heat flow value, the rock radioactive heat generation rate, and the surface temperature as simulation boundary conditions; within the simulation time, use the finite element method to conduct numerical simulation based on the transient heat transfer equation and the simulation boundary conditions to obtain simulation results.

[0126] The resource quantity evaluation module 504 is further configured to select, based on preset hot dry rock evaluation requirements, strata with temperatures higher than preset temperature thresholds and depths less than preset depth thresholds from the simulation results as hot dry rock reservoirs; and evaluate the hot dry rock resource quantity of the hot dry rock reservoirs using the target formula corresponding to the adaptive thermal reservoir volume method.

[0127] This embodiment of the device discloses the following steps: establishing a three-dimensional geological model of a region based on geological data of the target area; establishing a transient heat transfer equation; determining the boundary conditions of the three-dimensional geological model based on the recharge and loss information of hot dry rocks in the target area; conducting numerical simulation using the finite element method based on the boundary conditions and the transient heat transfer equation to obtain simulation results; selecting hot dry rock reservoirs from the simulation results; and evaluating the hot dry rock resource quantity of the hot dry rock reservoirs using the adaptive reservoir volume method. Because this embodiment determines the boundary conditions of the three-dimensional geological model based on the recharge and loss information of hot dry rocks in the target area, then conducts numerical simulation using the finite element method based on the boundary conditions and the transient heat transfer equation, and finally evaluates the hot dry rock resource quantity of the hot dry rock reservoirs selected from the simulation results using the adaptive reservoir volume method, compared with existing technologies, this embodiment effectively improves the accuracy of hot dry rock resource quantity assessment.

[0128] Based on the first embodiment of the dry hot rock resource evaluation device of the present invention, a second embodiment of the dry hot rock resource evaluation device of the present invention is proposed.

[0129] In this embodiment, the model building module 501 is further configured to select model building software to build an initial geological model based on the structural morphology information and reservoir distribution pattern information of the target area; based on the initial geological model, to build a regional three-dimensional geological model based on the heat source depth information, heat source volume information, stratum thickness information and stratum morphology information of the target area; after the regional three-dimensional geological model is built, to generate stratum interfaces using contour data files; and to build different parametric surfaces of the top surface of the strata based on the contour data of different stratum top and bottom interfaces in the stratum interfaces, thereby generating a regional three-dimensional geological model containing the top surface of the strata.

[0130] Other embodiments or specific implementations of the dry hot rock resource evaluation device of the present invention can be referred to the above-described method embodiments, and will not be repeated here.

[0131] This application provides a device for evaluating the quantity of hot dry rock resources. The device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the hot dry rock resource evaluation method in the first embodiment described above.

[0132] The following is for reference. Figure 6The diagram illustrates a structural schematic of a device suitable for implementing the embodiments of this application regarding the assessment of hot dry rock resources. The hot dry rock resource assessment device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), and vehicle terminals (e.g., vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 6 The dry hot rock resource assessment device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0133] like Figure 6 As shown, the hot dry rock resource assessment device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the hot dry rock resource assessment device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the hot dry rock resource assessment equipment to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows a hot dry rock resource assessment equipment with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0134] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0135] The hot dry rock resource assessment device provided in this application, employing the hot dry rock resource assessment method described in the above embodiments, can solve the technical problem of low accuracy in the prior art for assessing hot dry rock resources. Compared with the prior art, the beneficial effects of the hot dry rock resource assessment device provided in this application are the same as those of the hot dry rock resource assessment method provided in the above embodiments, and other technical features of this hot dry rock resource assessment device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0136] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0137] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0138] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0139] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0140] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0141] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for evaluating the quantity of hot dry rock resources, characterized in that, The method includes: Establish a three-dimensional geological model of the target area based on geological data and information of the target area; A transient heat transfer equation is established, and the boundary conditions of the three-dimensional geological model of the target area are determined based on the supply and loss information of the dry hot rock in the target area. Based on the boundary conditions and the transient heat transfer equation, numerical simulation was carried out using the finite element method to obtain simulation results. Dry hot rock reservoirs were selected from the simulation results, and the dry hot rock resources of the dry hot rock reservoirs were evaluated using the adaptive thermal reservoir volume method.

2. The method as described in claim 1, characterized in that, The steps for establishing a regional three-dimensional geological model based on geological data information of the target area include: Based on the structural morphology and reservoir distribution information of the target area, an initial geological model is established using model construction software. Based on the initial geological model, a three-dimensional geological model of the region is established according to the heat source depth information, heat source volume information, stratum thickness information, and stratum morphology information of the target area. After the three-dimensional geological model of the area is established, the stratigraphic interface is generated using contour data files; Based on the contour data of different top and bottom interfaces of the stratigraphic interfaces, parametric surfaces of different top surfaces of the stratigraphic layers are established to generate a regional three-dimensional geological model containing the top surfaces of the stratigraphic layers.

3. The method as described in claim 1, characterized in that, Following the step of establishing a regional three-dimensional geological model based on geological data information of the target area, the method further includes: Based on the three-dimensional geological model of the region, determine the thermal reservoir information, caprock distribution pattern information, heat source distribution pattern information, target thermal fluid information, and heat transfer channel information of the target region; The thermal parameters of the target area are obtained and the thermal parameters are assigned to different geological bodies in the three-dimensional geological model of the area. The thermal parameters include the thermal conductivity, density and specific heat capacity of the strata. Based on the thermal reservoir information, caprock distribution information, heat source distribution information, target thermal fluid information, and heat transfer channel information of the target area, the replenishment and loss information of the dry hot rock in the target area are determined.

4. The method as described in claim 1, characterized in that, The steps for establishing the transient heat transfer equation include: The micro-element control volume is determined, and when a temperature gradient exists in the micro-element control volume, the thermal conductivity of each control surface in the micro-element control volume and the amount of energy generated within the micro-element control volume are determined. If the micro-element control volume is under unsteady-state conditions, the total thermal energy stored in the micro-element control volume is determined based on the density and specific heat capacity of the micro-element control volume. An energy conservation equation is established based on the energy generated within the micro-element control volume and the total thermal energy stored within the micro-element control volume. The transient heat transfer equation is determined using the thermal conductivity of each control surface in the micro-element control volume and the energy conservation equation.

5. The method as described in claim 1, characterized in that, The boundary conditions include magma chamber temperature, geothermal heat flux, rock radioactive heat generation rate, and surface temperature. The steps of conducting numerical simulations using the finite element method based on the boundary conditions and the transient heat transfer equations to obtain simulation results include: The magma chamber temperature, the geothermal heat flow value, the rock radioactive heat generation rate, the surface temperature, the transient heat transfer equation, and the magma chamber formation time are obtained. The formation time of the magma chamber is used as the simulation time in the numerical simulation, and the temperature of the magma chamber, the geothermal heat flow value, the radioactive heat generation rate of the rock, and the surface temperature are used as the simulation boundary conditions. During the simulation time, numerical simulations are conducted using the finite element method based on the transient heat transfer equations and the simulation boundary conditions to obtain simulation results.

6. The method as described in claim 1, characterized in that, The step of selecting hot dry rock reservoirs from the simulation results and evaluating the hot dry rock resources of the hot dry rock reservoirs using the adaptive reservoir volume method includes: According to the preset hot dry rock assessment requirements, strata with temperatures higher than preset temperature thresholds and depths less than preset depth thresholds are selected from the simulation results as hot dry rock reservoirs. The dry hot rock resource quantity of the dry hot rock reservoir is evaluated using the target formula corresponding to the adaptive thermal reservoir volume method. The target formula is: In the formula, E represents the amount of hot dry rock resources, n is the number of micro-elements, and V n For the volume of the micro-element rock mass, ρ n For density, c n For specific heat capacity, T n T represents the temperature of the rock. r The reference temperature is the average surface temperature.

7. The method according to any one of claims 1-6, characterized in that, The replenishment information of the dry hot rock in the target area includes at least one of magma heat release information, terrestrial heat flow information, and radioactive heat generation information, and the loss information of the dry hot rock in the target area includes surface heat dissipation information.

8. A device for evaluating the quantity of hot dry rock resources, characterized in that, The device includes: The model building module is used to build a three-dimensional geological model of the target area based on geological data information of the target area. The boundary determination module is used to establish transient heat transfer equations and determine the boundary conditions of the three-dimensional geological model of the target area based on the supply and loss information of the dry hot rock in the target area. The numerical simulation module is used to perform numerical simulations using the finite element method based on the boundary conditions and the transient heat transfer equations, and to obtain simulation results. The resource quantity evaluation module is used to select dry hot rock reservoirs from the simulation results and evaluate the dry hot rock resources of the dry hot rock reservoirs using the adaptive thermal reservoir volume method.

9. A device for evaluating the quantity of hot dry rock resources, characterized in that, The device includes: a memory, a processor, and a hot dry rock resource assessment program stored in the memory and executable on the processor, the hot dry rock resource assessment program being configured to implement the steps of the hot dry rock resource assessment method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores a program for evaluating the quantity of hot dry rock resources, which, when executed by a processor, implements the steps of the hot dry rock resource evaluation method as described in any one of claims 1 to 7.

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