Methods and Systems for Constructing Supercritical Carbon Dioxide Leaching Environments for Sandstone Uranium Deposits

Abstract

This invention provides a method and system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore, relating to the field of uranium mining technology. The method includes: acquiring geometric data and physical property information of the target sandstone uranium ore layer; establishing a three-dimensional geometric model of the ore layer based on the geometric data and physical property information, and simulating the temperature changes and pressure distribution of the ore layer during the pretreatment stage to obtain pretreatment simulation results; obtaining heating simulation results based on the pretreatment simulation results; simulating the thermal stability and leaching efficiency of the ore layer under different conditions based on the heating simulation results to obtain the operating parameters of the leaching environment; and selecting leaching system locations and designing the leaching system layout based on the operating parameters and heating simulation results to obtain the leaching system design scheme. This invention, by accurately simulating the temperature changes and pressure distribution of the ore layer during the pretreatment, heating, and leaching stages, can optimize the supercritical carbon dioxide leaching environment, ensuring the uniformity of heat transfer and pressure distribution, thereby improving the leaching efficiency of uranium ore.

Description

Technical Field

[0001] This invention relates to the field of uranium mining technology, and more specifically, to a method and system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore. Background Technology

[0002] Currently, supercritical carbon dioxide (scCO2) leaching technology for sandstone uranium deposits mainly relies on existing ore layer heating methods and supercritical gas injection techniques to construct the leaching environment. However, existing leaching environment construction techniques primarily depend on traditional empirical methods and simple derivation models, lacking precise physical simulation and computational support. Existing technologies typically estimate operating parameters such as temperature and pressure through preliminary assumptions about the ore layer geometry and physical properties, using simple calculations or empirical formulas. These methods fail to fully consider the complex heat conduction, fluid dynamics, and ore physical properties within the ore layer, relying solely on empirical formulas to set heating temperatures, pressures, and other boundary conditions, thereby deriving parameters such as supercritical CO2 injection pressure, gas composition, and flow rate. Due to the lack of precise modeling and simulation, the construction of the leaching environment cannot achieve optimal heating efficiency and leaching effects, severely restricting the efficiency and economy of the leaching process.

[0003] Based on the shortcomings of the existing technologies, there is an urgent need for a method and system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits, thereby addressing the aforementioned problems. To achieve this objective, the technical solution adopted by this invention is as follows:

[0005] Firstly, this application provides a method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits, including:

[0006] Obtain geometric data and physical property information of the target sandstone uranium deposit;

[0007] A three-dimensional geometric model of the ore layer is established based on the geometric data and physical property data, and the temperature change and pressure distribution of the ore layer during the pretreatment stage are simulated to obtain the pretreatment simulation results.

[0008] Based on the preprocessing simulation results, the temperature distribution and heat transfer effect of the ore layer during the heating stage are calculated to obtain the heating simulation results.

[0009] Based on the heating simulation results, the thermal stability and leaching efficiency of the ore layer under different conditions are simulated to obtain the operating parameters of the leaching and mining environment.

[0010] Based on the operating parameters and the heating simulation results, the selection locations of the leaching system are screened and the layout of the leaching system is designed to obtain the leaching system design scheme.

[0011] Secondly, this application also provides a system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits, comprising:

[0012] The acquisition module is used to acquire geometric data and physical property information of the target sandstone uranium deposit.

[0013] The modeling module is used to establish a three-dimensional geometric model of the ore layer based on the geometric data and physical property data, and to simulate the temperature changes and pressure distribution of the ore layer during the pre-processing stage to obtain the pre-processing simulation results.

[0014] The calculation module is used to calculate the temperature distribution and heat transfer effect of the ore layer during the heating stage based on the preprocessing simulation results, and obtain the heating simulation results.

[0015] The simulation module is used to simulate the thermal stability and leaching efficiency of the ore layer under different conditions based on the heating simulation results, and to obtain the operating parameters of the leaching environment.

[0016] The output module is used to select the location of the leaching system and design the layout of the leaching system based on the operating parameters and the heating simulation results, so as to obtain the leaching system design scheme.

[0017] The beneficial effects of this invention are as follows:

[0018] This invention optimizes the supercritical carbon dioxide leaching environment by accurately simulating the temperature changes and pressure distribution of the ore layer during the pretreatment, heating, and leaching stages, ensuring the uniformity of heat transfer and pressure distribution, thereby improving the leaching efficiency of uranium ore. By accurately calculating the temperature field, pressure field, and thermal stability of the ore layer, and combining this with the physical properties of the ore, this invention can scientifically select the injection point, production point, and monitoring point of the leaching system, and design a reasonable system layout. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the process for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore, as described in an embodiment of the present invention.

[0021] Figure 2This is a schematic diagram of a supercritical carbon dioxide leaching environment construction system for sandstone uranium ore as described in an embodiment of the present invention;

[0022] Figure 3 This is a schematic diagram of a device for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore, as described in an embodiment of the present invention.

[0023] The diagram is labeled as follows: 800, a device for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore; 801, processor; 802, memory; 803, multimedia component; 804, I / O interface; 805, communication component; 901, acquisition module; 902, modeling module; 903, calculation module; 904, simulation module; 905, output module. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0025] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0026] Example 1:

[0027] This embodiment provides a method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits.

[0028] See Figure 1 The figure shows that the method includes steps S100 to S500.

[0029] Step S100: Obtain the geometric data and physical property information of the target sandstone uranium deposit;

[0030] Understandably, this step provides accurate raw data for all subsequent simulations and calculations by acquiring geometric data (such as the shape, size, and depth of the ore layer) and physical property data (such as the porosity, permeability, specific heat capacity, and thermal conductivity of the ore layer).

[0031] Step S200: Establish a three-dimensional geometric model of the ore layer based on geometric data and physical property data, and simulate the temperature change and pressure distribution of the ore layer in the pretreatment stage to obtain the pretreatment simulation results;

[0032] It should be noted that the three-dimensional geometric model can accurately describe the spatial distribution and physical properties of the ore layer, providing a reliable foundation for subsequent simulations and analyses. Next, by simulating the temperature and pressure distribution of the ore layer during the pretreatment stage, the trends in temperature and pressure during gas injection and preheating using the residual heat of compressed air can be evaluated before heating. The pretreatment stage primarily prepares the ore layer with thermal stability conditions and an oxidation environment to achieve rapid and uniform heating and efficient uranium oxidation and dissolution. Therefore, simulating the temperature and pressure field distribution during the pretreatment stage provides an important reference for the optimized design of the subsequent heating process and leaching environment.

[0033] Further, step S200 includes steps S210 to S230.

[0034] Step S210: Based on the geometric data, determine the external contour and boundary morphology of the ore layer to obtain the external geometric features of the ore layer;

[0035] Step S220: Based on geometric data and external geometric features, the spatial layout of each region inside the ore layer is determined by dividing the internal structure of the ore layer, thus obtaining the internal geometric model of the ore layer;

[0036] Step S230: Establish a three-dimensional geometric model based on the external geometric features and the internal geometric model.

[0037] Step S240: Based on the physical and thermodynamic properties of the ore in the three-dimensional geometric model and physical property data, the physical model of the ore layer is obtained by defining the boundary conditions of the processing equipment and the initial conditions of the ore.

[0038] Step S250: Based on the physical model, simulate the heat conduction and fluid dynamics of the ore layer, calculate the changes in the temperature field and pressure field of the ore layer, and obtain the calculation results;

[0039] Step S260: Based on the calculation results, analyze the temperature changes and stress distribution parameters of the ore layer during the pretreatment process to obtain the pretreatment simulation results.

[0040] Specifically, the above process combines the geometric data (including the outer contour, depth, and interlayer structure) and physical property data (such as the specific heat capacity, thermal conductivity, and density of the ore) of the target sandstone uranium ore layer to establish a three-dimensional geometric model, providing a comprehensive and accurate foundation for subsequent simulation and analysis. Then, using professional software such as COMSOL Multiphysics, the temperature changes and pressure distribution of the ore layer during the pretreatment stage can be clearly shown by simulating multiple dimensions of factors, including the physical properties of the ore layer, the interaction between the ore layer and the equipment, and the initial conditions of the ore layer. In this way, the heat conduction, hydrodynamic effects, and boundary interactions between the ore layer and the equipment are effectively quantified and simulated.

[0041] Step S300: Based on the preprocessing simulation results, calculate the temperature distribution and heat transfer effect of the ore layer during the heating stage to obtain the heating simulation results;

[0042] In this step, by analyzing the simulation results of the pretreatment stage, the temperature distribution and heat transfer effect of the ore layer during the heating stage can be calculated. This allows for an accurate assessment of the impact of different heating methods (such as electric heating and hot air heating) on ​​the ore layer temperature, as well as the efficiency of heat transfer. The obtained heating simulation results provide key data on temperature and heat transfer for subsequent simulations of thermal stability and leaching efficiency.

[0043] Further, step S300 includes steps S310 to S330.

[0044] Step S310: Based on the preprocessing simulation results and combined with the preset heating equipment combination, establish heating models corresponding to electric heating and hot air heating;

[0045] Step S320: Based on the heating model, by setting the boundary conditions of the heating equipment temperature, ambient temperature and heat flux density, a heating simulation is performed to obtain the temperature field distribution results;

[0046] Step S330: Based on the temperature field distribution results, perform grid division and generate temperature cloud map through visualization algorithm to obtain heating simulation results.

[0047] In steps S310 to S330, heating models for different heating methods, such as electric heating and hot air heating, are first established based on the preprocessed simulation results and the preset heating equipment combinations. To ensure the accuracy of the simulation, the thermal physical properties of the ore, such as thermal conductivity, specific heat capacity, and density, are input, and the boundary conditions of the heating equipment are set, including parameters such as heater temperature, ambient temperature, and heat flux density. Depending on the heating method, such as electric heating or hot air heating, parameters such as the power, heating time, and temperature control of the heating equipment are defined to ensure that the model can realistically reflect the heat transfer during the heating process. Next, mesh generation is performed to ensure the accuracy and efficiency of the calculation. The size and density of the mesh are adjusted according to the geometry of the ore and the complexity of the heating equipment. By using the solver of the simulation software, the temperature field distribution of the ore layer during the heating process can be obtained.

[0048] In step S320, by setting relevant parameters of the heating equipment, such as temperature, ambient temperature, and heat flux density as boundary conditions, a heating simulation is performed to obtain the temperature field distribution results. This process can effectively simulate how heat is conducted to the ore layer during the heating process and analyze the temperature gradient and heat transfer efficiency.

[0049] Subsequently, step S330 generates visualization results such as temperature cloud maps by applying grid division and visualization algorithms to the temperature field distribution results. This visualization process helps analyze the temperature distribution patterns of the ore layer during the heating stage, further evaluates the temperature changes and heating effects under different heating methods, and provides data support for optimizing the heating process. Ultimately, combining these results can better guide the operation and design of the heating stage, ensuring that the ore layer achieves the best heat treatment effect in subsequent leaching processes.

[0050] Preferably, during the actual ore pretreatment and heating process, thermocouples, infrared thermal imagers, and other equipment are used to measure the temperature field distribution. The simulated temperature field distribution is then compared with the experimental measurement results to verify the accuracy of the simulation model. If the two match well, the simulation model is considered reliable; otherwise, the model needs to be adjusted and optimized.

[0051] Step S400: Based on the heating simulation results, simulate the thermal stability and leaching efficiency of the ore layer under different conditions to obtain the operating parameters of the leaching and mining environment;

[0052] Understandably, this step, by combining heating simulation results with the physical and chemical properties of the ore (such as thermal conductivity and specific heat capacity), can simulate the thermal stability of the ore layer under different temperature conditions. Furthermore, based on the thermal stability of the ore layer and the solubility of the ore, the leaching efficiency of supercritical CO2 under different temperature and pressure conditions is evaluated. Ultimately, this step yields a series of operating parameters, such as temperature, pressure, and the ratio of CO2 to other gases, which directly determine the optimal operating conditions for the supercritical CO2 leaching process.

[0053] Further, step S400 includes steps S410 to S430.

[0054] Step S410: Based on the heating simulation results, the thermal stability of the ore is analyzed in conjunction with the thermal conductivity and specific heat capacity of the ore to obtain the thermal stability parameters of the ore layer.

[0055] Step S420: Analyze the leaching efficiency of the ore under supercritical carbon dioxide environment based on the thermal stability parameters, and obtain the leaching efficiency parameters of the ore layer based on the chemical properties and thermal stability of the ore.

[0056] Step S430: Based on the thermal stability parameters and leaching efficiency parameters, calculate the supercritical carbon dioxide pressure, the ratio of carbon dioxide to other gases, and the heating temperature range to obtain the operating parameters of the leaching environment.

[0057] It should be noted that thermal stability parameters reflect the ore layer's responsiveness to temperature changes during heating, as well as the ore's stability under high-temperature conditions. At this stage, the ore's thermal stability is closely related to its chemical properties and can help assess the ore's reaction potential and leaching efficiency at high temperatures.

[0058] Next, in step S420, based on the thermal stability parameters of the ore, the leaching efficiency of the ore in a supercritical carbon dioxide (scCO2) environment is further analyzed. At this point, it is necessary to combine the chemical properties and thermal stability of the ore to evaluate its reactivity with the gas and its uranium solubility in the supercritical CO2 environment, thereby obtaining the leaching efficiency parameters of the ore layer. This step provides a prediction of the leaching effect of the ore layer under specific temperature and pressure conditions, helping to determine appropriate operating parameters.

[0059] Finally, in step S430, key leaching environment operating parameters, such as supercritical carbon dioxide pressure, the ratio of carbon dioxide to other gases, and the heating temperature range, are calculated by combining thermal stability parameters and leaching efficiency parameters. By analyzing the thermal stability and leaching efficiency of the ore, the most suitable supercritical CO2 pressure and temperature range is selected. Simultaneously, the ratio of carbon dioxide to other gases (such as oxygen) is adjusted as needed to optimize the leaching effect. These operating parameters will provide the foundation for subsequent leaching system design and implementation, ensuring the efficiency and safety of the leaching process.

[0060] Step S500: Based on the operating parameters and heating simulation results, select the locations for the leaching system and design the layout of the leaching system to obtain the leaching system design scheme.

[0061] It should be noted that in this step, the operating parameters obtained in step S400 and the heating simulation results in step S300 are combined to comprehensively analyze various factors such as the temperature distribution, pressure field, thermal stability, and leaching efficiency of the ore layer, and to select the most suitable site for the leaching system. When selecting the site, factors such as the porosity, permeability, and stability of the ore layer are considered, ultimately resulting in an optimized leaching system layout design. Through a reasonable layout design, leaching efficiency can be improved, energy consumption reduced, and the safety of the ore layer and the stability of the system ensured.

[0062] Further, step S500 includes steps S510 to S530.

[0063] Step S510: Based on the temperature field distribution and operating parameters in the heating simulation results, by calculating the heat flux density and temperature gradient, screen areas with temperature distribution uniformity and heat transfer efficiency higher than the preset value to obtain preliminary candidate areas;

[0064] Step S520: Based on the preliminary candidate areas, perform weighted calculations on the porosity and permeability data of the ore layer, evaluate the leaching efficiency of different areas, and obtain the optimized areas;

[0065] Step S530: Based on the optimized area, calculate the safety factor for different areas by combining the stress distribution and thermal expansion characteristics of the ore layer, and obtain the design scheme of the leaching and mining system.

[0066] Understandably, the key to this process is to select areas with uniform temperature distribution and high heat transfer efficiency to ensure that the required heat can be provided efficiently and evenly during leaching. By calculating heat flux density and temperature gradient, areas with optimal heat transfer and minimal heat loss can be identified, and these areas can be selected as initial leaching system sites.

[0067] In step S520, based on the preliminary candidate regions, the porosity and permeability data of the ore layer are further considered. Through weighted calculations, the leaching efficiency of different regions is evaluated. This process helps determine which regions have better permeability and higher porosity, thus more effectively supporting the permeation of supercritical CO2 fluid and the efficiency of uranium leaching. Based on the analysis of permeability and porosity, the selection of leaching sites in the leaching system can be optimized to ensure improved leaching efficiency.

[0068] Finally, in step S530, based on the optimized area and considering the stress distribution and thermal expansion characteristics of the ore layer, safety factors for different areas are calculated. Assessing geological stability helps avoid risks such as collapse or slippage of the ore layer during leaching. Calculating the safety factors confirms the stability of the selected area, ensuring the safety and reliability of the leaching process. Based on the above analysis results, a reasonable layout for the supercritical CO2 leaching system is finally designed, including the configuration of injection wells, production wells, and monitoring wells, to achieve efficient and safe leaching operations.

[0069] Furthermore, the present invention also discloses a method for mining sandstone uranium ore based on the above-described leaching system design, comprising:

[0070] Step S600: Establish a supercritical CO2 leaching system, including a compressed air injection system, a CO2 heating injection device and a synchronous monitoring device, an injection well and a pumping well.

[0071] It should be noted that the supercritical CO2 leaching system specifically includes the following components:

[0072] The compressed air injection system, used to inject compressed air into the ore seam, includes an air compressor, air tank, heating device, pressure regulating device, and injection pipeline. The system's function is to effectively drain pore water from the ore seam through the air-driven water effect, reducing the water content and thus significantly decreasing the heat capacity of the ore seam, thereby lowering the energy consumption for subsequent heating. By using the waste heat of the compressed air to preheat the ore seam, the temperature field of the ore seam can be rapidly established, preparing for the injection of supercritical CO2.

[0073] The CO2 heating injection device is used to inject preheated CO2+O2 mixed gas into the ore layer. It consists of a CO2 gas source, a heater, an oxygen mixer, a pressure control device, and an injection pipeline. The injection of CO2 and O2 mixed gas can not only ensure the solvent properties of supercritical CO2, but also improve the oxidation reaction efficiency of uranium in the ore layer through the participation of oxygen, thereby improving the dissolution efficiency of uranium and further optimizing the leaching effect.

[0074] The synchronous monitoring device includes a downhole distributed temperature sensor (DTS) and a ore layer resistivity monitor, used to monitor the temperature and resistivity of the ore layer. Changes in ore layer resistivity can directly reflect changes in ore layer water content, which serves as the basis for stopping gas injection, ensuring the consistency and stability of pretreatment effects, and providing accurate feedback for the leaching process.

[0075] Understandably, this invention innovatively proposes injecting high-pressure compressed gas into the ore layer before injecting supercritical CO2. This utilizes the gas-driven water effect to drain the pore water from the ore layer, reducing the water content to below 5%, significantly lowering the heat capacity of the ore layer, thereby reducing subsequent heating energy consumption. Furthermore, the residual heat of the compressed air is used to preheat the ore layer, enabling rapid construction of high-temperature conditions. Simultaneously, oxygen or liquid oxygen is used instead of the aforementioned high-pressure compressed air. Oxygen can participate more efficiently in the oxidation reaction of uranium in the ore layer, improving the uranium dissolution efficiency and further optimizing the leaching effect. Moreover, the gas added must not significantly affect the properties of supercritical carbon dioxide (scCO2) and must meet the following conditions: chemical inertness (does not react chemically with CO2); low solubility (low solubility in scCO2 to avoid altering the polarity or solvation ability of the solvent); and compatible phase behavior (under operating conditions (temperature > 31.1℃, pressure > 7.38MPa), able to form a homogeneous mixture with scCO2, or have minimal impact on the critical point of the mixture).

[0076] Step S700: Inject 0.1%-0.5% surfactant solution into the ore layer to improve permeability. Surfactants reduce the surface tension of pore water in the ore layer, effectively reducing the adhesion between water and minerals, thereby improving the pore structure and permeability of the ore layer.

[0077] Step S800: Inject high-pressure compressed gas into the ore-bearing layer to drain the pore water of the ore layer through the gas-driven water effect, thereby reducing the water content to below 5% and reducing the heat capacity of the ore layer.

[0078] Specifically, the high-temperature compressed gas can be selected from compressed air, liquid nitrogen, or liquid oxygen, with an injection pressure of 5-10 MPa and a temperature of 50-80℃. This process involves monitoring the water yield of the ore layer; when the water yield drops below 0.1m... 3 When the flow rate reaches 1 / h, it indicates that the moisture in the ore layer has been fully drained. Simultaneously, the resistivity of the ore layer is monitored. When the resistivity rises to 5 times the initial value, it indicates that the moisture removal from the ore layer has met the predetermined requirements, and the gas injection process can be stopped.

[0079] Step S900: Inject a preheated CO2 mixture containing 10%-15% O2 to establish a high-pressure, high-temperature environment for the ore layer, thereby achieving pre-oxidation of the uranium ore layer.

[0080] Specifically, the initial temperature is set at 120-150℃, and the pressure is maintained at 8-12MPa. During gas injection, intermittent pulse injection (5 minutes of injection followed by 2 minutes of pause) is used to promote uniform gas diffusion, ensuring uniform heating of the ore layer and further improving the leaching effect. Simultaneously, a downhole distributed temperature sensor (DTS) monitors the ore layer temperature in real time, ensuring that the ore layer temperature is raised to above 80℃ within 30 hours, meeting the requirements for supercritical CO2 leaching.

[0081] Step S1000: A mixture of leaching solution and high-temperature gas (CO2 and O2) is injected into the ore layer through an injection well. Under the action of O2, the uranium ore is oxidized and combines with bicarbonate ions to form dissolved uranium compounds, which then enter the leaching solution. Subsequently, the uranium-containing leaching solution is extracted through a pumping well, thereby achieving effective uranium leaching. This process is carried out under high-temperature conditions, which promotes the oxidation and dissolution of uranium in the ore layer and improves the uranium leaching efficiency.

[0082] Example 2:

[0083] like Figure 2 As shown, this embodiment provides a system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits. The system includes:

[0084] The acquisition module is used to acquire geometric data and physical property information of the target sandstone uranium deposit.

[0085] The modeling module is used to build a three-dimensional geometric model of the ore layer based on geometric data and physical property data, and to simulate the temperature changes and pressure distribution of the ore layer during the pre-processing stage to obtain the pre-processing simulation results.

[0086] The calculation module is used to calculate the temperature distribution and heat transfer effect of the ore layer during the heating stage based on the preprocessing simulation results, and obtain the heating simulation results;

[0087] The simulation module is used to simulate the thermal stability and leaching efficiency of the ore layer under different conditions based on the heating simulation results, and to obtain the operating parameters of the leaching and mining environment;

[0088] The output module is used to screen the location of the leaching system and design the layout of the leaching system based on the operating parameters and heating simulation results, so as to obtain the design scheme of the leaching system.

[0089] In one specific embodiment of the present invention, the modeling module includes:

[0090] The first modeling unit is used to determine the external contour and boundary morphology of the ore layer based on geometric data, and to obtain the external geometric features of the ore layer.

[0091] The second modeling unit is used to determine the spatial layout of each region inside the ore layer by dividing the internal structure of the ore layer based on geometric data and external geometric features, thereby obtaining the internal geometric model of the ore layer.

[0092] The third modeling unit is used to build a three-dimensional geometric model based on external geometric features and internal geometric models.

[0093] In one specific embodiment of the present invention, the modeling module further includes:

[0094] The first calculation unit is used to obtain the physical model of the ore layer by defining the boundary conditions of the processing equipment and the initial conditions of the ore based on the physical and thermodynamic properties of the ore in the three-dimensional geometric model and physical property data.

[0095] The second calculation unit is used to simulate the heat conduction and fluid dynamics of the ore layer based on the physical model, calculate the changes in the temperature field and pressure field of the ore layer, and obtain the calculation results.

[0096] The third calculation unit is used to analyze the temperature changes and stress distribution parameters of the ore layer during the pretreatment process based on the calculation results, and to obtain the pretreatment simulation results.

[0097] In one specific embodiment of the present invention, the calculation module includes:

[0098] The first calculation unit is used to establish heating models corresponding to electric heating and hot air heating based on the preprocessed simulation results and the preset heating equipment combination.

[0099] The second calculation unit is used to perform heating simulation based on the heating model by setting the boundary conditions of the heating equipment temperature, ambient temperature and heat flux density, and to obtain the temperature field distribution results.

[0100] The third calculation unit is used to divide the grid according to the temperature field distribution results and generate temperature cloud maps through visualization algorithms to obtain heating simulation results.

[0101] In one specific embodiment of the present invention, the simulation module includes:

[0102] The first simulation unit is used to analyze the thermal stability of the ore based on the heating simulation results, combined with the thermal conductivity and specific heat capacity of the ore, and obtain the thermal stability parameters of the ore layer.

[0103] The second simulation unit is used to analyze the leaching efficiency of ore in a supercritical carbon dioxide environment based on thermal stability parameters, and to obtain the leaching efficiency parameters of the ore layer based on the chemical properties and thermal stability of the ore.

[0104] The third simulation unit is used to calculate the supercritical carbon dioxide pressure, the ratio of carbon dioxide to other gases, and the heating temperature range based on thermal stability parameters and leaching efficiency parameters, thereby obtaining the operating parameters of the leaching environment.

[0105] In one specific embodiment of the present invention, the output module includes:

[0106] The first output unit is used to filter regions with temperature distribution uniformity and heat transfer efficiency higher than preset values ​​by calculating heat flux density and temperature gradient based on the temperature field distribution and operating parameters in the heating simulation results, and obtain preliminary candidate regions.

[0107] The second output unit is used to perform weighted calculations on the porosity and permeability data of the ore layer based on the preliminary candidate regions, evaluate the leaching efficiency of different regions, and obtain the optimized regions.

[0108] The third output unit is used to calculate the safety factor of different areas based on the optimized area and the stress distribution and thermal expansion characteristics of the ore layer, so as to obtain the design scheme of the leaching and mining system.

[0109] Example 3:

[0110] Corresponding to the above method embodiments, this embodiment also provides a sandstone uranium ore supercritical carbon dioxide leaching environment construction device. The sandstone uranium ore supercritical carbon dioxide leaching environment construction device described below and the sandstone uranium ore supercritical carbon dioxide leaching environment construction method described above can be referred to in correspondence.

[0111] Figure 3 This is a block diagram illustrating a supercritical carbon dioxide leaching environment construction device 800 for sandstone uranium ore, according to an exemplary embodiment. Figure 3 As shown, the supercritical carbon dioxide leaching environment construction device 800 for sandstone uranium ore may include: a processor 801 and a memory 802. The device 800 may also include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0112] The processor 801 controls the overall operation of the sandstone uranium supercritical carbon dioxide leaching environment construction equipment 800 to complete all or part of the steps in the aforementioned method for constructing a sandstone uranium supercritical carbon dioxide leaching environment. The memory 802 stores various types of data to support the operation of the sandstone uranium supercritical carbon dioxide leaching environment construction equipment 800. This data may include, for example, instructions for any application or method operating on the sandstone uranium supercritical carbon dioxide leaching environment construction equipment 800, as well as application-related data such as contact data, sent and received messages, images, audio, video, etc. The memory 802 can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. I / O interface 804 provides an interface between processor 801 and other interface modules, such as keyboards, mice, and buttons. These buttons can be virtual or physical. Communication component 805 is used for wired or wireless communication between the sandstone uranium mine supercritical carbon dioxide leaching environment construction equipment 800 and other devices. Wireless communication includes, for example, Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof. Therefore, the corresponding communication component 805 may include a Wi-Fi module, a Bluetooth module, and an NFC module.

[0113] In an exemplary embodiment, a sandstone uranium ore supercritical carbon dioxide leaching environment construction device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the aforementioned sandstone uranium ore supercritical carbon dioxide leaching environment construction method.

[0114] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When executed by a processor, these program instructions implement the steps of the method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits described above. For example, the computer-readable storage medium may be the memory 802 including the program instructions described above, which may be executed by a processor 801 of a sandstone uranium deposit supercritical carbon dioxide leaching environment construction device 800 to complete the method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits described above.

[0115] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits, characterized in that, include: Obtain geometric data and physical property information of the target sandstone uranium deposit; A three-dimensional geometric model of the ore layer is established based on the geometric data and physical property data, and the temperature change and pressure distribution of the ore layer during the pretreatment stage are simulated to obtain the pretreatment simulation results. Based on the preprocessing simulation results, the temperature distribution and heat transfer effect of the ore layer during the heating stage are calculated to obtain the heating simulation results. Based on the heating simulation results, the thermal stability and leaching efficiency of the ore layer under different conditions are simulated to obtain the operating parameters of the leaching and mining environment. Based on the operating parameters and the heating simulation results, the selection points of the leaching system are screened and the layout of the leaching system is designed to obtain the leaching system design scheme. The operating parameters and the heating simulation results are used to screen the location of the leaching system and design the layout of the leaching system, including: Based on the temperature field distribution and operating parameters in the heating simulation results, by calculating the heat flux density and temperature gradient, regions with temperature distribution uniformity and heat transfer efficiency higher than preset values ​​are screened to obtain preliminary candidate regions. Based on the preliminary candidate regions, the porosity and permeability data of the ore layer are weighted and calculated to evaluate the leaching efficiency of different regions and obtain the optimized regions. Based on the optimized area, the safety factor of different areas is calculated by combining the stress distribution and thermal expansion characteristics of the ore layer, and the design scheme of the leaching and mining system is obtained.

2. The method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits according to claim 1, characterized in that, Simulated temperature changes and pressure distribution in the ore layer during the pretreatment stage, including: Based on the physical and thermodynamic properties of the ore in the three-dimensional geometric model and the physical property data, the physical model of the ore layer is obtained by defining the boundary conditions of the processing equipment and the initial conditions of the ore. Based on the physical model, the heat conduction and fluid dynamics of the ore layer are simulated, and the changes in the temperature and pressure fields of the ore layer are calculated to obtain the calculation results. Based on the calculation results, the temperature changes and stress distribution parameters of the ore layer during the pretreatment process are analyzed to obtain the pretreatment simulation results.

3. The method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits according to claim 1, characterized in that, Based on the preprocessing simulation results, the temperature distribution and heat transfer effect of the ore layer during the heating stage are calculated to obtain the heating simulation results, including: Based on the preprocessing simulation results, and combined with the preset heating equipment combination, heating models corresponding to electric heating and hot air heating are established. Based on the heating model, by setting the boundary conditions of the heating equipment temperature, ambient temperature, and heat flux density, a heating simulation is performed to obtain the temperature field distribution results; Based on the temperature field distribution results, a grid is generated and a temperature cloud map is produced using a visualization algorithm to obtain the heating simulation results.

4. The method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits according to claim 1, characterized in that, Based on the heating simulation results, the thermal stability and leaching efficiency of the ore layer under different conditions were simulated, including: Based on the heating simulation results, the thermal stability of the ore is analyzed by combining the thermal conductivity and specific heat capacity of the ore, and the thermal stability parameters of the ore layer are obtained. Based on the aforementioned thermal stability parameters, the leaching efficiency of the ore under a supercritical carbon dioxide environment was analyzed, and based on the chemical properties and thermal stability of the ore, the leaching efficiency parameters of the ore layer were obtained. Based on the thermal stability parameters and the leaching efficiency parameters, the supercritical carbon dioxide pressure, the ratio of carbon dioxide to other gases, and the heating temperature range are calculated to obtain the operating parameters of the leaching environment.

5. A system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium deposits, characterized in that, include: The acquisition module is used to acquire geometric data and physical property information of the target sandstone uranium deposit. The modeling module is used to establish a three-dimensional geometric model of the ore layer based on the geometric data and physical property data, and to simulate the temperature changes and pressure distribution of the ore layer during the pre-processing stage to obtain the pre-processing simulation results. The calculation module is used to calculate the temperature distribution and heat transfer effect of the ore layer during the heating stage based on the preprocessing simulation results, and obtain the heating simulation results. The simulation module is used to simulate the thermal stability and leaching efficiency of the ore layer under different conditions based on the heating simulation results, and to obtain the operating parameters of the leaching environment. The output module is used to select the location of the leaching system and design the layout of the leaching system based on the operating parameters and the heating simulation results, so as to obtain the leaching system design scheme. The output module includes: The first output unit is used to filter regions with temperature distribution uniformity and heat transfer efficiency higher than preset values ​​by calculating heat flux density and temperature gradient based on the temperature field distribution and operating parameters in the heating simulation results, and obtain preliminary candidate regions. The second output unit is used to perform weighted calculations on the porosity and permeability data of the ore layer based on the preliminary candidate region, evaluate the leaching efficiency of different regions, and obtain the optimized region. The third output unit is used to calculate the safety factor of different regions based on the optimized region and the stress distribution and thermal expansion characteristics of the ore layer, so as to obtain the design scheme of the leaching and mining system.

6. The supercritical carbon dioxide leaching environment construction system for sandstone uranium ore according to claim 5, characterized in that, The modeling module also includes: The fourth modeling unit is used to obtain the physical model of the ore layer by defining the boundary conditions of the processing equipment and the initial conditions of the ore based on the physical and thermodynamic properties of the ore in the three-dimensional geometric model and the physical property data. The fifth modeling unit is used to simulate the heat conduction and fluid dynamics of the ore layer based on the physical model, calculate the changes in the temperature field and pressure field of the ore layer, and obtain the calculation results. The sixth modeling unit is used to analyze the temperature changes and stress distribution parameters of the ore layer during the pretreatment process based on the calculation results, and obtain the pretreatment simulation results.

7. The supercritical carbon dioxide leaching environment construction system for sandstone uranium ore according to claim 5, characterized in that, The computing module includes: The first calculation unit is used to establish heating models corresponding to electric heating and hot air heating based on the preprocessed simulation results and in combination with the preset heating equipment combination. The second calculation unit is used to perform heating simulation based on the heating model by setting boundary conditions for the temperature of the heating equipment, the ambient temperature, and the heat flux density, and to obtain the temperature field distribution results. The third calculation unit is used to perform grid division based on the temperature field distribution results and generate temperature cloud maps through visualization algorithms to obtain heating simulation results.

8. A supercritical carbon dioxide leaching environment construction system for sandstone uranium deposits according to claim 5, characterized in that, The simulation module includes: The first simulation unit is used to analyze the thermal stability of the ore based on the heating simulation results, combined with the thermal conductivity and specific heat capacity of the ore, and obtain the thermal stability parameters of the ore layer. The second simulation unit is used to analyze the leaching efficiency of the ore in a supercritical carbon dioxide environment based on the thermal stability parameters, and to obtain the leaching efficiency parameters of the ore layer based on the chemical properties and thermal stability of the ore. The third simulation unit is used to calculate the supercritical carbon dioxide pressure, the ratio of carbon dioxide to other gases, and the heating temperature range based on the thermal stability parameters and the leaching efficiency parameters, so as to obtain the operating parameters of the leaching environment.

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