Sandstone uranium ore supercritical carbon dioxide leaching mining environment construction method and system

Abstract

The invention provides a sandstone uranium mine supercritical carbon dioxide leaching mining environment construction method and system, and relates to the technical field of uranium mine mining, and the method comprises the steps: obtaining geometric data and physical property data of a target sandstone uranium mine layer; establishing a three-dimensional geometric model of the ore bed according to the geometric data and the physical property data, and simulating temperature change and pressure distribution of the ore bed in a preprocessing stage to obtain a preprocessing simulation result; obtaining a heating simulation result according to the preprocessing simulation result; according to a heating simulation result, simulating thermal stability and leaching efficiency of the ore bed under different conditions to obtain operation parameters of the leaching and mining environment; and according to the operation parameters and the heating simulation result, selecting point positions of the leaching and mining system are screened, the layout of the leaching and mining system is designed, and a leaching and mining system design scheme is obtained. By accurately simulating the temperature change and pressure distribution of the ore bed in the stages of pretreatment, heating and leaching mining, the supercritical carbon dioxide leaching mining environment can be optimized, and the uniformity of heat transfer and pressure distribution is ensured, so that the leaching efficiency of uranium ore is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of uranium mining, and in particular to a method and system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore. Background Art

[0002] Currently, supercritical carbon dioxide (scCO2) leaching technology for sandstone uranium deposits primarily relies on existing seam heating methods and supercritical gas injection to create the leaching environment. However, existing leaching environment construction techniques rely primarily on traditional empirical methods and simple derivational models, lacking precise physical simulation and computational support. Existing technologies typically estimate operating parameters such as temperature and pressure using simple calculations or empirical formulas based on preliminary assumptions about seam geometry and physical properties. These methods fail to fully consider the complex heat conduction, fluid dynamics, and ore physical properties within the seam. They rely solely on empirical formulas to set heating temperature, pressure, and other boundary conditions, thereby deriving parameters such as supercritical CO2 injection pressure, gas composition, and flow rate. This lack of precise modeling and simulation prevents the creation of the leaching environment from achieving optimal heating efficiency and leaching results, severely limiting the efficiency and cost-effectiveness of the leaching process.

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

[0004] The present invention aims to provide a method and system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore to improve the above-mentioned problems. To achieve the above-mentioned objectives, the present invention adopts the following technical solutions:

[0005] In a first aspect, the present application provides a method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore, comprising:

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

[0007] Establishing a three-dimensional geometric model of the ore layer based on the geometric data and physical property information, and simulating the temperature change and pressure distribution of the ore layer during the pretreatment stage to obtain a pretreatment simulation result;

[0008] Calculating the temperature distribution and heat transfer effect of the ore layer during the heating stage based on the pre-processing simulation results to obtain heating simulation results;

[0009] According to 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 environment;

[0010] According to the operating parameters and the heating simulation results, the location of the leaching system is screened and the layout of the leaching system is designed to obtain a leaching system design scheme.

[0011] In a second aspect, the present application also provides a system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore, comprising:

[0012] Acquisition module, used to obtain geometric data and physical property information of target sandstone uranium ore layer;

[0013] A modeling module is used to establish a three-dimensional geometric model of the ore layer based on the geometric data and physical property information, and simulate the temperature change and pressure distribution of the ore layer during the pretreatment stage to obtain a pretreatment simulation result;

[0014] A calculation module, configured to calculate the temperature distribution and heat transfer effect of the ore layer during the heating stage according to the pre-processing simulation results, and obtain a heating simulation result;

[0015] A simulation module, configured to simulate the thermal stability and leaching efficiency of the ore layer under different conditions according to the heating simulation results, and obtain operating parameters of the leaching environment;

[0016] The output module is used to screen the location of the leaching system and design the layout of the leaching system according to the operating parameters and the heating simulation results to obtain a leaching system design plan.

[0017] The beneficial effects of the present invention are:

[0018] By accurately simulating the temperature changes and pressure distribution of the ore layer during the pretreatment, heating and leaching stages, the present invention can optimize the supercritical carbon dioxide leaching environment, ensure the uniformity of heat transfer and pressure distribution, and thus improve the leaching efficiency of uranium ore. By accurately calculating the temperature field, pressure field and thermal stability of the ore layer and combining the physical properties of the ore, the present invention can scientifically screen the injection points, production points and monitoring points of the leaching system and design a reasonable system layout. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 This is a schematic flow chart of a method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore according to an embodiment of the present invention;

[0021] Figure 2This is a schematic diagram of a system structure for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore according to an embodiment of the present invention;

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

[0023] Markings in the figure: 800, a device for constructing a supercritical carbon dioxide leaching environment for sandstone uranium mines; 801, a processor; 802, a memory; 803, a multimedia component; 804, an I / O interface; 805, a communication component; 901, an acquisition module; 902, a modeling module; 903, a calculation module; 904, a simulation module; 905, an output module. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0025] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are used only to distinguish the description and should not be understood 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 ore.

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

[0029] Step S100: obtaining geometric data and physical property information of the target sandstone uranium ore layer;

[0030] It can be understood that this step provides accurate raw data for all subsequent simulations and calculations by obtaining the geometric data (such as the shape, size, depth, etc. of the target sandstone uranium ore layer) and physical property data (such as the porosity, permeability, specific heat capacity, thermal conductivity and other physical and thermodynamic properties of the ore layer).

[0031] Step S200: establishing a three-dimensional geometric model of the ore layer based on the geometric data and physical property information, and simulating the temperature change and pressure distribution of the ore layer during the pretreatment stage to obtain a pretreatment simulation result;

[0032] It is important to note that the 3D geometric model accurately describes the spatial distribution and physical properties of the ore layer, providing a reliable foundation for subsequent simulation and analysis. Next, by simulating the temperature and pressure distribution of the ore layer during the pretreatment phase, we can assess the temperature and pressure trends during gas injection and preheating using the residual heat of compressed air before heating. The pretreatment phase primarily provides thermal stability and an oxidizing environment for the ore layer, enabling rapid and uniform heating and efficient oxidative dissolution of uranium. Therefore, simulating the temperature and pressure distribution during the pretreatment phase provides a valuable reference for optimizing the subsequent heating process and leaching environment.

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

[0034] Step S210: Determine the outer contour and boundary shape of the ore layer based on the geometric data to obtain the outer geometric features of the ore layer;

[0035] Step S220: Based on the geometric data and the external geometric features, the internal structure of the ore layer is divided to determine the spatial layout of each area within the ore layer, thereby obtaining an 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: Obtain a 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 three-dimensional geometric model and the physical and thermodynamic properties of the ore in the physical property data;

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

[0039] Step S260: Analyze the temperature change and stress distribution parameters of the ore layer during the pretreatment process according to the calculation results to obtain the pretreatment simulation results.

[0040] Specifically, the above process combines the geometric data of the target sandstone uranium ore layer (including the outer contour of the ore layer, the depth of the ore layer, the interlayer structure, etc.) with the physical property data (such as the specific heat capacity, thermal conductivity, density, etc. of the ore) 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, by simulating multi-dimensional factors such as the physical properties of the ore layer, the interaction between the ore layer and the equipment, and the initial conditions of the ore layer, the temperature changes and pressure distribution of the ore layer during the pretreatment stage can be clearly displayed. In this way, the heat conduction, fluid mechanics effects of the entire ore layer, and the boundary interaction between the ore layer and the equipment are effectively quantified and simulated.

[0041] Step S300: Calculate the temperature distribution and heat transfer effect of the ore layer during the heating stage based on the pre-processing simulation results to obtain the heating simulation results;

[0042] In this step, by analyzing the simulation results from the pretreatment phase and calculating the temperature distribution and heat transfer during the heating phase, we can accurately assess the impact of different heating methods (such as electric heating and hot air heating) on ​​the ore layer temperature and the efficiency of heat transfer. The resulting heating simulation results provide key temperature and heat transfer data for subsequent thermal stability and leaching efficiency simulations.

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

[0044] Step S310: Based on the pre-processing simulation results and in combination with the preset heating equipment combination, a heating model corresponding to electric heating and hot air heating is established;

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

[0046] Step S330: Based on the temperature field distribution results, mesh division is performed and a temperature cloud map is generated through a visualization algorithm to obtain a heating simulation result.

[0047] In steps S310 to S330, first, based on the pre-processing simulation results and the preset heating equipment combination, the corresponding heating models for different heating methods such as electric heating and hot air heating are established. In order to ensure the accuracy of the simulation, it is first necessary to input the thermal physical properties of the ore, such as thermal conductivity, specific heat capacity, and density, and set the boundary conditions of the heating equipment, including parameters such as the heater temperature, ambient temperature, and heat flux density. According to different heating methods, such as electric heating or hot air heating, the power, heating time, and temperature control parameters of the heating equipment are defined respectively to ensure that the model can truly reflect the heat transfer during the heating process. Next, grid division is performed to ensure the accuracy and efficiency of the calculation. The size and density of the grid will be adjusted according to the geometric shape of the ore and the complexity of the heating equipment. By using the solver of the simulation software for calculation, the temperature field distribution results of the ore layer during the heating process can be obtained.

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

[0049] Subsequently, step S330 generates visualizations such as temperature cloud maps by meshing the temperature field distribution results and applying visualization algorithms. This visualization process helps analyze the temperature distribution patterns of the ore layer during the heating phase, further evaluating the temperature changes and heating effects under different heating methods, and providing data support for optimizing the heating process. Ultimately, these results can better guide the operation and design of the heating phase, ensuring optimal heat treatment results for the ore layer during subsequent leaching.

[0050] Ideally, during the actual ore pretreatment and heating process, use thermocouples, infrared thermal imagers, and other equipment to measure the temperature field distribution. Compare the simulated temperature field distribution with the experimental measurement results to verify the accuracy of the simulation model. If the two are in good agreement, the simulation model is reliable; otherwise, the model needs to be adjusted and optimized.

[0051] Step S400: 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;

[0052] It is understood that this step, by combining the 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 can be evaluated. Ultimately, this step can derive a series of operating parameters, such as temperature, pressure, and the ratio of CO2 to other gases. These parameters directly determine the optimal operating conditions for the supercritical CO2 leaching process.

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

[0054] Step S410: Analyze the thermal stability of the ore based on the heating simulation results and 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 in a supercritical carbon dioxide environment based on the thermal stability parameter, and obtain the leaching efficiency parameter of the ore layer based on the chemical properties and thermal stability of the ore;

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

[0057] It is important to note that thermal stability parameters reflect the responsiveness of the ore layer to temperature changes during heating, as well as the stability of the ore in high-temperature environments. At this stage, the thermal stability of the ore is closely related to its chemical properties and can help assess the ore's reactivity potential and leaching efficiency at high temperatures.

[0058] Next, in step S420, the ore's leaching efficiency in a supercritical carbon dioxide (scCO2) environment is further analyzed based on the ore's thermal stability parameters. This involves evaluating the ore's reactivity with gases and its uranium solubility in a supercritical CO2 environment, taking into account its chemical properties and thermal stability, to determine the leaching efficiency parameters for the ore layer. This step provides a prediction of the leaching performance 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 CO2 pressure, the ratio of CO2 to other gases, and the heating temperature range, are calculated based on the thermal stability and leaching efficiency parameters. By analyzing the ore's thermal stability and leaching efficiency, the most suitable supercritical CO2 pressure and temperature range are selected. The ratio of CO2 to other gases (such as oxygen) is adjusted as needed to optimize leaching results. These operating parameters provide a foundation for subsequent leaching system design and implementation, ensuring the efficiency and safety of the leaching process.

[0060] Step S500: Screen the location of the leaching system and design the layout of the leaching system according to the operating parameters and the heating simulation results to obtain a leaching system design plan.

[0061] It should be noted that in this step, a comprehensive analysis of multiple factors, including the ore layer's temperature distribution, pressure field, thermal stability, and leaching efficiency, is conducted, combining the operating parameters obtained in step S400 with the heating simulation results in step S300. This allows the most suitable leaching system location to be selected. When selecting the location, factors such as the ore layer's porosity, permeability, and stability are considered, ultimately resulting in an optimized leaching system layout design. A rational layout design can improve leaching efficiency, reduce energy consumption, and ensure both ore layer safety and system stability.

[0062] Furthermore, 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 where the temperature distribution uniformity and heat transfer efficiency are higher than preset values ​​to obtain preliminary candidate areas;

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

[0065] Step S530: Calculate the safety factors of different areas based on the optimized areas and the stress distribution and thermal expansion characteristics of the ore layer to obtain a design scheme for the leaching system.

[0066] The key to this process is to identify areas with uniform temperature distribution and efficient heat transfer, ensuring efficient and uniform heat delivery during the extraction process. By calculating heat flux and temperature gradients, we can identify areas with optimal heat transfer and minimal heat loss, and select these areas as initial extraction system locations.

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

[0068] Finally, in step S530, safety factors are calculated for different areas based on the optimized regions, taking into account the stress distribution and thermal expansion characteristics of the ore layer. Assessing geological stability can help mitigate risks such as collapse or slippage during the leaching process. By calculating safety factors, the stability of the selected areas can be confirmed, ensuring a safe and reliable leaching process. Combined with these analysis results, a reasonable supercritical CO2 leaching system layout is 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 based on the above-mentioned leaching system design scheme, 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 liquid extraction well.

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

[0072] The compressed air injection system, used to inject compressed air into the ore layer, includes an air compressor, air storage tank, heating device, pressure regulator, and air injection pipeline. This system effectively drains pore water from the ore layer through the air-water-displacement effect, reducing the moisture content of the ore layer, thereby significantly reducing the heat capacity of the ore layer and lowering the energy consumption of subsequent heating. By using the waste heat of the compressed air to preheat the ore layer, the temperature field of the ore layer can be quickly established, preparing for the injection of supercritical CO2.

[0073] The CO2 heating and 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 the 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] A synchronous monitoring system, including a downhole distributed temperature sensor (DTS) and a mineral resistivity monitor, monitors mineral seam temperature and resistivity. Changes in mineral seam resistivity provide a direct indicator of changes in mineral moisture content, serving as a basis for stopping gas injection, ensuring consistent and stable pretreatment results and providing accurate feedback for the leaching process.

[0075] As can be understood, the present invention innovatively proposes injecting high-pressure compressed gas into the ore layer before injecting supercritical CO2. This gas-driven water displacement effect drains the pore water in the ore layer, reducing the moisture content to below 5%. This significantly reduces the heat capacity of the ore layer, thereby reducing subsequent heating energy consumption. The waste heat of the compressed air is then used to preheat the ore layer, enabling the rapid establishment of high-temperature conditions. Furthermore, by replacing the high-pressure compressed air with oxygen or liquid oxygen, oxygen can more efficiently participate in the uranium oxidation reaction in the ore layer, improving uranium dissolution efficiency and further optimizing leaching results. Furthermore, the addition of a gas that does not significantly affect the properties of supercritical carbon dioxide (scCO2) must meet the following requirements: chemical inertness, meaning it does not react chemically with CO2; low solubility in scCO2, meaning it does not alter the solvent's polarity or solvation capacity; and phase compatibility, meaning it can form a homogeneous mixture with scCO2 under operating conditions (temperature > 31.1°C, pressure > 7.38 MPa), or have minimal effect on the mixture's critical point.

[0076] Step S700: Inject 0.1%-0.5% surfactant solution into the ore layer to improve permeability. Surfactants have the effect of reducing 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: injecting high-pressure compressed gas into the ore-bearing layer to drain the pore water of the ore layer through the gas-displacement effect, thereby reducing the water content to below 5% to reduce the heat capacity of the ore layer.

[0078] Specifically, high temperature compressed gas can be selected (compressed air, liquid nitrogen, liquid oxygen), with an injection pressure of 5-10 MPa and a temperature of 50-80°C. This process monitors the water output rate of the ore layer and, when the water output rate drops below 0.1m 3 / h, indicating that the moisture in the ore layer has been fully discharged. At the same time, the resistivity change of the ore layer is monitored. When the resistivity rises to 5 times the initial value, it means that the moisture discharge in the ore layer has reached the predetermined requirement and the gas injection process can be stopped.

[0079] Step S900: injecting preheated CO2 mixed gas containing 10%-15% O2 to establish a high-pressure and high-temperature environment in the ore layer to achieve pre-oxidation of the uranium ore layer.

[0080] Specifically, the initial temperature is set at 120-150°C, and the pressure is maintained at 8-12 MPa. During the gas injection process, intermittent pulse injection (5 minutes of injection and 2 minutes of pause) promotes uniform gas diffusion, ensuring uniform heating of the ore layer and further improving leaching efficiency. Simultaneously, downhole distributed temperature sensors (DTS) monitor the ore layer temperature in real time, ensuring that the ore layer temperature is raised to above 80°C within 30 hours, meeting the ore layer temperature requirements for supercritical CO2 leaching.

[0081] Step S1000: In-situ leaching fluid, a mixture of high-temperature CO₂ and O₂ gases, is injected into the ore layer through an injection well. The O₂ oxidizes the uranium ore, combining it with bicarbonate ions to form dissolved uranium compounds, which then enter the in-situ leaching fluid. Subsequently, the uranium-containing leachate is extracted through an extraction well, achieving efficient uranium leaching. This process, carried out under high-temperature conditions, promotes the oxidation and dissolution of uranium in the ore layer, improving 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 ore, the system comprising:

[0084] Acquisition module, used to obtain geometric data and physical property information of target sandstone uranium ore layer;

[0085] The modeling module is used to establish a three-dimensional geometric model of the ore layer based on geometric data and physical property information, and simulate the temperature change and pressure distribution of the ore layer during the pretreatment stage to obtain the pretreatment 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 according to the pre-processing simulation results to 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 obtain the operating parameters of the leaching 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, and obtain the leaching system design plan.

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

[0090] The first modeling unit is used to determine the outer contour and boundary shape of the ore layer according to the geometric data, and obtain the outer geometric characteristics of the ore layer;

[0091] The second modeling unit is used to determine the spatial layout of each area within the ore layer by dividing the internal structure of the ore layer according to the geometric data and the external geometric characteristics, and obtain an internal geometric model of the ore layer;

[0092] The third modeling unit is used to establish a three-dimensional geometric model according to the external geometric features and the internal geometric model.

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

[0094] The first calculation unit is used to obtain a 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 three-dimensional geometric model and the physical and thermodynamic properties of the ore in the physical property data;

[0095] The second calculation unit is used to simulate the heat conduction and fluid dynamics of the ore layer according to 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 change and stress distribution parameters of the ore layer during the pretreatment process according to the calculation results, and obtain the pretreatment simulation results.

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

[0098] The first calculation unit is used to establish a heating model corresponding to electric heating and hot air heating based on the preprocessing simulation results and a preset heating equipment combination;

[0099] The second calculation unit is used to perform heating simulation according to the heating model by setting the boundary conditions of the temperature of the heating device, the ambient temperature and the heat flux density to obtain the temperature field distribution result;

[0100] The third calculation unit is used to perform grid division according to the temperature field distribution result and generate a temperature cloud map through a visualization algorithm to obtain a heating simulation result.

[0101] In a 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 and in combination with the thermal conductivity and specific heat capacity of the ore to obtain the thermal stability parameters of the ore layer;

[0103] 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 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 the thermal stability parameters and the leaching efficiency parameters, so as to obtain the operating parameters of the leaching environment.

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

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

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

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

[0109] Example 3:

[0110] Corresponding to the above method embodiment, this embodiment also provides a device for constructing a supercritical carbon dioxide leaching environment for sandstone uranium mines. The device for constructing a supercritical carbon dioxide leaching environment for sandstone uranium mines described below and the method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium mines described above can be referenced to each other.

[0111] Figure 3 FIG. 8 is a block diagram of a sandstone uranium mine supercritical carbon dioxide leaching environment construction device 800 according to an exemplary embodiment. Figure 3 As shown, the apparatus 800 for establishing a supercritical carbon dioxide leaching environment for sandstone uranium mines may include: a processor 801 and a memory 802. The apparatus 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 is used to control the overall operation of the apparatus 800 for establishing a supercritical CO2 leaching environment for sandstone uranium mines, thereby completing all or part of the steps in the aforementioned method for establishing a supercritical CO2 leaching environment for sandstone uranium mines. The memory 802 is used to store various types of data to support the operation of the apparatus 800. This data may include, for example, instructions for any application or method operating on the apparatus 800, as well as application-related data, such as contact information, sent and received messages, images, audio, and video. The memory 802 can be implemented by 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 memory, 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 touch screen, 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 signal 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. The I / O interface 804 provides an interface between the processor 801 and other interface modules, which may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the sandstone uranium mine supercritical carbon dioxide leaching environment construction device 800 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, near field communication (NFC), 2G, 3G or 4G, or a combination of one or more thereof, so the corresponding communication component 805 may include: a Wi-Fi module, a Bluetooth module, an NFC module.

[0113] In an exemplary embodiment, a device 800 for constructing a supercritical carbon dioxide leaching environment for sandstone uranium mines can 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 execute the above-mentioned method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium mines.

[0114] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When executed by a processor, the program instructions implement the steps of the aforementioned method for establishing a supercritical CO2 leaching environment for sandstone uranium deposits. For example, the computer-readable storage medium may be the aforementioned memory 802 including the program instructions. The program instructions may be executed by the processor 801 of the apparatus 800 for establishing a supercritical CO2 leaching environment for sandstone uranium deposits to implement the aforementioned method for establishing a supercritical CO2 leaching environment for sandstone uranium deposits.

[0115] The above description is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed by the present invention, which should be covered by the scope of protection of the present invention.

Claims

1. A method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore, characterized in that: include: Obtain geometric data and physical property information of target sandstone uranium deposits; Establishing a three-dimensional geometric model of the ore layer based on the geometric data and physical property information, and simulating the temperature change and pressure distribution of the ore layer during the pretreatment stage to obtain a pretreatment simulation result; Calculating the temperature distribution and heat transfer effect of the ore layer during the heating stage based on the pre-processing simulation results to obtain heating simulation results; According to 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 environment; According to the operating parameters and the heating simulation results, the location of the leaching system is screened and the layout of the leaching system is designed to obtain a leaching system design scheme.

2. The method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore according to claim 1, characterized in that: Simulate the temperature changes and pressure distribution of the ore layer during the pretreatment stage, including: Obtaining a physical model of the ore layer by defining boundary conditions of processing equipment and initial conditions of the ore based on the three-dimensional geometric model and the physical and thermodynamic properties of the ore in the physical property data; According to the physical model, heat conduction and fluid mechanics simulations are performed on the ore layer, and changes in the temperature field and pressure field of the ore layer are calculated to obtain calculation results; According to the calculation results, the temperature change 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 ore according to claim 1, characterized in that: Based on the pre-processing 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: According to the pre-processing simulation results, combined with the preset heating equipment combination, a heating model corresponding to electric heating and hot air heating is established; According to the heating model, by setting the boundary conditions of the temperature of the heating device, the ambient temperature and the heat flux density, a heating simulation is performed to obtain the temperature field distribution result; According to the temperature field distribution results, grid division is performed and a temperature cloud map is generated through a visualization algorithm to obtain the heating simulation results.

4. The method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore 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 are simulated, including: According to the heating simulation results, the thermal stability of the ore is analyzed in combination with the thermal conductivity and specific heat capacity of the ore to obtain the thermal stability parameters of the ore layer; Analyzing the leaching efficiency of the ore in a supercritical carbon dioxide environment based on the thermal stability parameters, and obtaining the leaching efficiency parameters of the ore layer based on the chemical properties and thermal stability of the ore; According to the thermal stability parameter and the leaching efficiency parameter, 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. The method for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore according to claim 1, characterized in that: Based on the operating parameters and the heating simulation results, the location of the leaching system is selected and the layout of the leaching system is designed, including: Based on the temperature field distribution and operating parameters in the heating simulation results, by calculating the heat flux density and temperature gradient, the regions where the temperature distribution uniformity and heat transfer efficiency are higher than the preset values ​​are screened to obtain preliminary candidate regions; Based on the preliminary candidate areas, weighted calculation is performed on the porosity and permeability data of the ore layer, and the leaching efficiency of different areas is evaluated to obtain the optimized area; According to the optimized area, the safety factors of different areas are calculated in combination with the stress distribution and thermal expansion characteristics of the ore layer to obtain the leaching system design scheme.

6. A system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore, characterized in that: include: Acquisition module, used to obtain geometric data and physical property information of target sandstone uranium ore layer; A modeling module is used to establish a three-dimensional geometric model of the ore layer based on the geometric data and physical property information, and simulate the temperature change and pressure distribution of the ore layer during the pretreatment stage to obtain a pretreatment simulation result; A calculation module, configured to calculate the temperature distribution and heat transfer effect of the ore layer during the heating stage according to the pre-processing simulation results, and obtain a heating simulation result; A simulation module, configured to simulate the thermal stability and leaching efficiency of the ore layer under different conditions according to the heating simulation results, and obtain operating parameters of the leaching environment; The output module is used to screen the location of the leaching system and design the layout of the leaching system according to the operating parameters and the heating simulation results to obtain a leaching system design plan.

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

8. The system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore according to claim 6, characterized in that: The calculation module includes: A first calculation unit is used to establish a heating model corresponding to electric heating and hot air heating based on the preprocessing simulation results and in combination with a preset heating device combination; a second calculation unit, configured to perform a heating simulation based on the heating model by setting the temperature of the heating device, the ambient temperature, and the boundary conditions of the heat flux density to obtain a temperature field distribution result; The third calculation unit is used to perform grid division according to the temperature field distribution result and generate a temperature cloud map through a visualization algorithm to obtain a heating simulation result.

9. The system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore according to claim 6, characterized in that: The simulation module includes: A first simulation unit is used to analyze the thermal stability of the ore based on the heating simulation result and in combination with the thermal conductivity and specific heat capacity of the ore to obtain the thermal stability parameter of the ore layer; a second simulation unit for analyzing the leaching efficiency of the ore in a supercritical carbon dioxide environment according to the thermal stability parameter, and obtaining a leaching efficiency parameter 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 according to the thermal stability parameter and the leaching efficiency parameter, so as to obtain the operating parameters of the leaching environment.

10. The system for constructing a supercritical carbon dioxide leaching environment for sandstone uranium ore according to claim 6, characterized in that: The output module includes: a first output unit, configured to screen regions where the temperature distribution uniformity and heat transfer efficiency are higher than preset values ​​by calculating the heat flux density and the temperature gradient according to the temperature field distribution and the operating parameters in the heating simulation result, to obtain preliminary candidate regions; The second output unit is used to perform weighted calculation on the porosity and permeability data of the ore layer according to the preliminary candidate area, evaluate the leaching efficiency of different areas, and obtain the optimized area; The third output unit is used to calculate the safety factors of different areas according to the optimized area in combination with the stress distribution and thermal expansion characteristics of the ore layer to obtain a leaching system design plan.

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