A method and system for determining a well pattern for in-situ leaching of uranium

Abstract

The application discloses a kind of in-situ leaching uranium well pattern determination method and system, it is related to in-situ leaching uranium technical field, method includes: for any to-be-used well pattern scheme of target mining area, in-situ leaching uranium simulation is carried out, to determine the effective convection volume set, effective leaching volume set, injection solute concentration set and extraction solute concentration set in first preset period, and then determine leaching effective utilization rate set, solute proportion coefficient set;Time variation fitting is carried out to obtain leaching effective utilization rate fitting function, solute proportion coefficient fitting function;Based on leaching effective utilization rate fitting function and solute proportion coefficient fitting function, calculate the total income of uranium mine in the target mining area in second preset period, combined with total investment of development, calculate well pattern net income;In a plurality of to-be-used well pattern schemes, the to-be-used well pattern scheme with maximum well pattern net income is marked as final well pattern scheme.The application realizes the optimization arrangement of in-situ leaching uranium well pattern, improves the income, reduces the cost simultaneously.

Description

Technical Field

[0001] This invention relates to the field of in-situ leaching uranium mining technology, and in particular to a method and system for determining the well network in in-situ leaching uranium mining. Background Technology

[0002] In-situ leaching is a new type of uranium mining method that integrates mining and smelting. It involves the selective dissolution of uranium in ore through a chemical reaction between a leaching agent and the mineral under natural burial conditions, without causing displacement of the ore. It is the most important development method for sandstone-type uranium deposits in my country.

[0003] In-situ leaching of uranium involves small well spacing, extremely high well density, and high drilling costs. The selection, deployment, and adjustment of well site parameters and forms play a decisive role in the production scale, development effect, and mining life of uranium mining areas. Designing the most economically optimal well network scheme based on key factors such as geological conditions, distribution of ore-bearing and aquifers, formation convection field, and economic benefits is of great significance for improving uranium production capacity and increasing the service life of mining areas.

[0004] Experts and scholars have conducted extensive research on how to obtain the economically optimal well site and well network deployment and injection-production strategy, with the majority of results related to the oil and gas industry. This has led to the development of various evaluation methods for well network schemes, including the water drive control degree method, the single-well controlled reserves method, the fluid production water absorption index method, and the injection-production balance method. Furthermore, various calculation methods have been designed for the economically optimal well network and the economically limiting well network in oilfields. However, these methods are based on calculations of water drive oil efficiency and are limited to the displacement and replacement process between the oil and water phases. Since these methods differ from the flow field characteristics of in-situ leaching uranium production, they cannot be directly applied to in-situ leaching uranium production. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for determining the well network of in-situ leaching uranium mining, thereby optimizing the layout of the well network, increasing profits and reducing costs.

[0006] To achieve the above objectives, the present invention provides the following solution:

[0007] In a first aspect, the present invention provides a method for determining the well pattern in in-situ leaching uranium mining, comprising:

[0008] Based on the target mining area, multiple well network schemes for use are determined; the data corresponding to each well network scheme for use includes the number of pumping holes, the number of injection holes, and the well spacing;

[0009] For any of the proposed well pattern schemes, in-situ leaching uranium mining simulation is performed to determine the effective convection volume set, effective leaching volume set, injected solute concentration set, and extracted solute concentration set within a first preset time period. The effective convection volume represents the area controlled by the streamlines flowing from the injection hole to the extraction hole during the in-situ leaching uranium mining simulation; the effective leaching volume represents the spatial intersection of the effective convection volume and the ore body volume within the target mining area at the same time during the in-situ leaching uranium mining simulation; the injected solute concentration represents the concentration of solute injected from the injection hole during the in-situ leaching uranium mining simulation; and the extracted solute concentration represents the concentration of solute extracted from the extraction hole during the in-situ leaching uranium mining simulation.

[0010] Based on the set of effective convection volumes and the set of effective impregnation volumes, a set of effective impregnation utilization rates is determined; based on the set of injected solute concentrations and the set of extracted solute concentrations, a set of solute proportion coefficients is determined.

[0011] A time-varying fitting function for the effective utilization rate of dyeing is obtained by fitting the time variation of the set of solute proportion coefficients; a time-varying fitting function for the solute proportion coefficients is obtained by fitting the time variation of the set of solute proportion coefficients.

[0012] Based on the fitting function of the effective utilization rate of the leaching and the fitting function of the solute ratio coefficient, the total uranium ore revenue of the target mining area during the second preset time period is calculated.

[0013] Obtain the total development investment of the target mining area within the second preset time period, and calculate the net well network revenue in combination with the total revenue of the uranium mine;

[0014] The well network scheme with the highest net well network benefit among the multiple available well network schemes is marked as the final well network scheme.

[0015] Secondly, the present invention provides a well pattern determination system for in-situ leaching uranium mining, comprising:

[0016] The well pattern determination module is used to determine multiple potential well pattern schemes based on the target mining area; the data corresponding to each potential well pattern scheme includes the number of pumping holes, the number of injection holes, and the well spacing.

[0017] The in-situ leaching uranium mining simulation module is used to simulate in-situ leaching uranium mining for any of the aforementioned well network schemes, in order to determine the effective convection volume set, effective leaching volume set, injected solute concentration set, and extracted solute concentration set within a first preset time period. The effective convection volume represents the area controlled by the streamlines flowing from the injection hole to the extraction hole during the in-situ leaching uranium mining simulation; the effective leaching volume represents the spatial intersection of the effective convection volume and the ore body volume within the target mining area at the same time during the in-situ leaching uranium mining simulation; the injected solute concentration represents the concentration of solute injected from the injection hole during the in-situ leaching uranium mining simulation; and the extracted solute concentration represents the concentration of solute extracted from the extraction hole during the in-situ leaching uranium mining simulation.

[0018] The module for determining the effective utilization rate of impregnation and the proportion of solute is used to determine the effective utilization rate set of impregnation based on the effective convection volume set and the effective impregnation volume set; and to determine the proportion coefficient set of solute based on the injected solute concentration set and the extracted solute concentration set.

[0019] The function fitting module is used to perform time-varying fitting based on the set of effective utilization rates of dyeing to obtain a fitting function for effective utilization rate of dyeing; and to perform time-varying fitting based on the set of solute proportion coefficients to obtain a fitting function for solute proportion coefficients.

[0020] The revenue determination module is used to calculate the total uranium ore revenue of the target mining area within a second preset time period based on the fitting function of the effective utilization rate of the leaching and the fitting function of the solute proportion coefficient.

[0021] The net revenue determination module is used to obtain the total development investment of the target mining area within the second preset time period, and calculate the net revenue of the well network in combination with the total revenue of the uranium mine.

[0022] The final well pattern scheme determination module is used to mark the well pattern scheme with the largest net well pattern benefit among the multiple available well pattern schemes as the final well pattern scheme.

[0023] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0024] This invention discloses a method and system for determining well patterns in in-situ leaching uranium mining. For multiple pre-determined well pattern schemes, in-situ leaching uranium mining simulations are performed to determine the effective convection volume set, effective leaching volume set, injected solute concentration set, and extracted solute concentration set within a first preset time period. Then, the effective utilization rate set of leaching and the solute proportion coefficient set are calculated accordingly, and time fitting is performed to obtain a fitting function. Next, based on the effective utilization rate fitting function and the solute proportion coefficient fitting function, the total uranium ore revenue of the target mining area within a second preset time period is calculated. Combined with the corresponding total development investment, the net well pattern revenue is calculated. Finally, the net well pattern revenues of multiple pre-determined well pattern schemes are compared, and the pre-determined well pattern scheme with the highest net well pattern revenue is marked as the final well pattern scheme. This results in a more profitable layout scheme for optimizing the in-situ leaching uranium mining well pattern, thereby achieving resource conservation. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a flowchart illustrating the method for determining the well pattern in in-situ leaching uranium mining according to the present invention.

[0027] Figure 2 This is a schematic diagram of the arrangement of the well network scheme to be used in this invention;

[0028] Figure 3 This is another schematic diagram of the well network scheme to be used in this invention;

[0029] Figure 4 This is a streamline diagram of uranium extraction by in-situ leaching according to the present invention;

[0030] Figure 5 This is a schematic diagram of the five-point well pattern applied to in-situ leaching uranium mining according to the present invention;

[0031] Figure 6 This is a schematic diagram of the well pattern determination system for in-situ leaching uranium mining according to the present invention. Detailed Implementation

[0032] 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 embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] In-situ leaching uranium mining focuses on the combined field of convective motion, solute dispersion, and chemical reactions of the solution in the formation. Based on this, this invention provides a method and system for determining the well network in in-situ leaching uranium mining. Combining the characteristics of in-situ leaching uranium mining, it further explores the simulation and optimization deployment of the well network based on the formation convection field. It proposes a calculation method for the economically optimal well network that can realistically reproduce the flow field of in-situ leaching uranium mining, and further optimizes the well network layout scheme of in-situ leaching uranium mining.

[0034] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0035] Example 1

[0036] like Figure 1 As shown, the present invention provides a method for determining the well pattern in in-situ leaching uranium mining, comprising:

[0037] Step 100: Based on the target mining area, determine multiple well network schemes to be used; the data corresponding to each well network scheme to be used includes the number of pumping holes, the number of injection holes, and the well spacing; wherein, the data included in the target mining area includes various types of data such as well logging data, mining area range, hydrogeological data, and porosity and permeability data.

[0038] Specifically, one of the following methods—the five-point method, the seven-point method, the nine-point method, the inverse nine-point method, and the determinant method—is used to adjust the well spacing and injection / extraction well flow rates according to preset requirements in order to design the well network for the target mining area, thereby obtaining multiple alternative well network schemes, such as... Figure 2 and Figure 3 As shown in the figure; and as shown in Table 1 below, it is a table of single-hole injection fluid volume for different well pattern schemes.

[0039] Table 1. Fluid Volume of Single-Break Injection Wells under Different Well Pattern Schemes

[0040]

[0041]

[0042] Step 200: For any of the proposed well network schemes, perform in-situ leaching uranium mining simulation to determine the effective convection volume set, effective leaching volume set, injected solute concentration set, and extracted solute concentration set within a first preset time period. Specifically, use GMS software to perform in-situ leaching uranium mining simulation, generalizing the formation, boundary conditions, and source-sink terms based on target mining area data, and establishing in-situ leaching uranium mining flow field models and solute migration field models for different well network schemes. It should be noted that in practical applications, various groundwater simulation software such as GMS can be used, but not limited to, to simulate the distribution of flow lines at any future time under different construction schemes.

[0043] Among them, the effective convection volume characterizes the area controlled by the streamlines that flow from the injection hole to the extraction hole during the in-situ leaching uranium mining simulation process; specifically, in the in-situ leaching uranium mining flow field model, the effective convection volume after the production time T is defined as the area controlled by the streamlines that can flow from the injection hole to the extraction hole. It indicates the range of rock mass controlled by the in-situ leaching uranium mining flow field and is a volume variable that changes with time.

[0044] The effective convection volume characterizes the spatial intersection of the effective convection volume and the orebody volume within the target mining area at the same time point during the uranium leaching simulation process; specifically, the effective convection volume (V... qT The spatial intersection of the target ore body and the target ore body is defined as the effective sulphur volume (V). UT The formula is expressed as: V qT ∩V M ={V UT |V UT ∈V qT And V UT ∈V M This is a volume variable that changes over time. Where V... M The spatial range and volume of the ore body within the target mining area.

[0045] In the uranium leaching simulation process, the leachate undergoes a leaching chemical reaction within the effective leaching volume to generate a uranium-containing compound solution, which is ultimately recovered to the surface through the extraction port. The injected solute concentration characterizes the concentration of the solute injected from the injection port during the uranium leaching simulation process; the extracted solute concentration characterizes the concentration of the solute extracted from the extraction port during the uranium leaching simulation process.

[0046] Tables 2 and 3 below provide a summary table of the effective convection volume and the effective contamination volume for each scheme.

[0047] Table 2 Summary of Effective Convection Volume for Each Scheme

[0048]

[0049] Table 3 Summary of Effective Infiltration Volume for Each Scheme

[0050]

[0051]

[0052] Step 300: Based on the effective convection volume set and the effective leaching volume set, determine the effective leaching utilization rate set; the solvent utilization rate (i.e., the effective leaching utilization rate) is the ratio of the effective leaching range to the convection range, representing the solvent that has successfully undergone a leaching reaction and been recovered within the ore body. Its value changes over time, and the calculation formula is as follows:

[0053]

[0054] in, V represents the effective utilization rate of leaching, expressed as a percentage. UT For effective impregnation volume, the unit is m. 3 V qT Effective convection volume, unit m 3 Furthermore, the effective impregnation volume and the effective convection volume correspond to the same moment. Table 4 below is a summary table of solvent utilization rates for each scheme.

[0055] Table 4 Summary of Leaching Agent Utilization Rates for Each Scheme

[0056]

[0057]

[0058] Because of the dilution effect of formation water on the injected leaching agent, the solute ratio coefficient of the mining area represents the amount of leaching agent extracted after time T of in-situ leaching uranium production. At the same time, the larger the solute ratio coefficient of the mining area, the faster the fluid convection between the injection and extraction holes, the less groundwater dilution, the more leaching agent is extracted, and the stronger the leaching under this process condition; conversely, the lower the solute ratio, the slower the fluid convection between the injection and extraction holes, and the less leaching agent is extracted.

[0059] Therefore, it is necessary to determine the set of solute proportion coefficients based on the set of injected solute concentrations and the set of extracted solute concentrations. Table 5 below shows the solute concentration variation of a single extraction well for each scheme, and the table shows the solute concentration of a single extraction well. The solute concentration of each extraction well for each scheme can be exported by software such as GMS.

[0060] Table 5. Variation of solute concentration in single pumping wells under each scheme.

[0061]

[0062]

[0063] Taking the five-point well pattern as an example, but not limited to the five-point well pattern, such as... Figure 5 As shown, a concentration of [missing information] was injected into the injection hole respectively. A certain neutral solute, the normal working time t of the injection hole n Afterwards, the solute concentrations at the extraction holes were respectively

[0064] The calculation process of the solute proportion coefficients in the set of solute proportion coefficients specifically includes:

[0065] (1) According to the injection and extraction type of wells in the uranium leaching well site, they are classified and named.

[0066] The production time t during the simulation of in-situ leaching uranium mining n At that time, any injection well ZY # The volume of fluid injected is expressed in liters (L). The production time t during the simulation of in-situ leaching uranium mining n At that time, any injection well ZY # The concentration of the injected solute, in mg / L; The production time t during the simulation of in-situ leaching uranium mining n At that time, any pumping well CY # The volume of liquid drawn is expressed in liters (L). The production time t during the simulation of in-situ leaching uranium mining n At that time, any pumping well CY # The concentration of the extracted solute, in mg / L; when # is i, the corresponding extraction hole (or extraction well) is CY. i i = 1, 2, 3...; when # is j, the corresponding injection hole (or injection well) is ZY. j j = 1, 2, 3...

[0067] (2) Define any production start time of the mining area as T, and discretize T into several time periods, where any time period t n ~t n-1 Any pumping well (pumping well CY) # The mass of solute extracted is:

[0068]

[0069] in, For time period t n ~t n-1 Any pumping well CY # The mass of solute extracted, in mg.

[0070] (3) All pumping wells in the mining area during time period t n ~t n-1 The mass of solute extracted internally is:

[0071]

[0072] For all pumping wells in the mining area during the time period t n ~t n-1 The mass of solute extracted internally.

[0073] (4) The mass of solute extracted from all pumping wells in the mining area after production time T is:

[0074]

[0075] The mass of solute extracted from all pumping wells after a production time T during the simulation of in-situ leaching uranium mining.

[0076] (5) Any time interval t n ~t n-1 Any injection well (injection well ZY) # The mass of solute injected is:

[0077]

[0078] in, For time period t n ~t n-1 Any injection well ZY # Mass of solute injected, in mg.

[0079] (6) After production time T, the total mass of solute injected into the formation by all injection wells in the mining area is:

[0080]

[0081] The mass of solute injected into the formation through all injection holes after a production time T during the in-situ leaching uranium mining simulation is expressed in mg.

[0082] Finally, the solute percentage coefficient is defined as K. rT The calculation formula is as follows:

[0083]

[0084] Table 6 below shows the solute ratio coefficients for each single pumping well in each scheme.

[0085] Table 6 shows the solute ratio coefficients for each single pumping well in each scheme.

[0086]

[0087]

[0088] Step 400: Perform time-varying fitting based on the set of effective utilization rates of dyeing to obtain a fitting function for effective utilization rate of dyeing; perform time-varying fitting based on the set of solute proportion coefficients to obtain a fitting function for solute proportion coefficients.

[0089] The function formula for fitting the time variation of the set of effective utilization rates of the dyeing process is as follows:

[0090] y = Vmax*x^n / (k^n+x^n).

[0091] The following are several example solutions:

[0092] Option 1: 101.81942*T^0.64489 / (21.95826^0.64489+T^0.64489).

[0093] Option 2: 95.57905*T^1.11052 / (40.88375^1.11052+T^1.11052).

[0094] Option 3: 96.49543*T^1.10514 / (43.02637^1.10514+T^1.10514).

[0095] Option 4: 96.2127*T^1.06131 / (42.36558^1.06131+T^1.06131).

[0096] Option 5: 96.79534*T^1.06728 / (43.45323^1.06728+T^1.06728).

[0097] Option 6: 96.60584*T^1.12603 / (45.50211^1.12603+T^1.12603).

[0098] The function formula for fitting the time change of the set of solute proportion coefficients is:

[0099] y = a * x^b.

[0100] The following are several example solutions:

[0101] Option 1: 163.44587*T^(-0.25029) / 100.

[0102] Option 2: 155.57734*T^(-0.25603) / 100.

[0103] Option 3: 156.31092*T^(-0.25638) / 100.

[0104] Option 4: 147.93916*T^(-0.2371) / 100.

[0105] Option 5: 156.66454*T^(-0.2527) / 100.

[0106] Option 6: 155.63647*T^(-0.25693) / 100.

[0107] Where y is the dependent variable of the function, representing the effective utilization rate of leaching or the solute ratio coefficient; x is the independent variable of the function, representing the production time in the simulation of in-situ leaching uranium mining; Vmax, n, K, a, and b are all coefficients of the function formula.

[0108] Step 500: Based on the fitting function of the effective utilization rate of leaching and the fitting function of the solute proportion coefficient, calculate the total uranium ore revenue of the target mining area within the second preset time period. The calculation formula is as follows:

[0109]

[0110] in, β represents the total revenue from the uranium mine; β represents the leached uranium concentration, obtained from indoor leaching experiments on rock samples from the target ore layer, yielding a uranium concentration of 66.46 mg / L per unit mass of ore body leached from a unit mass of solvent; α represents the total pumping volume, set to 49800 L / D in a specific example; T represents the production start-up time, corresponding to the second preset time period; γ represents the uranium unit price, set to 1 million yuan / tU in a specific example; K rT This is the solute ratio coefficient. Both of these are variables that change over time, representing the effective utilization rate of the dye.

[0111] Based on the above content, the formula for calculating the total revenue from uranium mining can be transformed into the following formula:

[0112]

[0113]

[0114] The following are several example solutions:

[0115] Option 1:

[0116] 66.46 / 10 9 *49800*100*1825*101.81942*1825^0.64489 / (21.95826^0.64489+1825^0.64489)*163.44587*1825^(-0.25029) / 100.

[0117] Option 2:

[0118] 66.46 / 10 9 *49800*100*1825*95.57905*1825^1.11052 / (40.88375^1.11052+1825^1.11052)*155.57734*1825^(-0.25603) / 100.

[0119] Option 3:

[0120] 66.46 / 10 9 *49800*100*1825*96.49543*1825^1.10514 / (43.02637^1.10514+1825^1.10514)*156.31092*1825^(-0.25638) / 100.

[0121] Option 4:

[0122] 66.46 / 10 9 *49800*100*1825*96.2127*1825^1.06131 / (42.182558^1.06131+1825^1.06131)*147.93916*1825^(-0.2371) / 100.

[0123] Option 5:

[0124] 66.46 / 10 9 *49800*100*1825*96.79534*1825^1.06728 / (43.45323^1.06728+1825^1.06728)*156.66454*1825^(-0.2527) / 100.

[0125] Option 6:

[0126] 66.46 / 10 9 *49800*100*1825*96.60584*1825^1.12603 / (45.50211^1.12603+1825^1.12603)*155.63647*1825^(-0.25693) / 100.

[0127] For the six embodiments described above, the total revenue after simulating five years (1825 days) is calculated, as shown in Table 7 below.

[0128] Table 7 Total Revenue of Each Option

[0129]

[0130] Step 600: Obtain the total development investment of the target mining area within the second preset time period, and calculate the net well network revenue in conjunction with the total revenue of the uranium mine.

[0131] The total investment in developing the target mining area includes: well site construction cost ε, subsequent maintenance and management cost θ, and various other costs τ.

[0132] Well site construction cost ε (in ten thousand yuan) is the sum of the number of wells (K) and the cost per well (K). m The product of )

[0133] ε=K×K m ×(1+i) T-1 .

[0134] The post-maintenance and management cost θ (in ten thousand yuan) is:

[0135]

[0136] The formula for calculating the total development investment of the target mining area within the second preset time period is as follows:

[0137]

[0138] in, To expand the total investment; K represents the total number of wells corresponding to the pumping and injection wells, in units of wells; K m τ represents the cost per well, in RMB 10,000 per well; i represents the discount rate, in %; T represents the commissioning time, corresponding to the second preset period, in years; M represents the annual maintenance and management cost per well, in RMB 10,000 per well; and τ represents various other costs, which are fixed values.

[0139] The number of wells for each scheme is shown in Table 1. The cost per well is 60,000 yuan, the discount rate is 5.1%, the annual maintenance and management cost per well is 1,500 yuan, and other costs are 50,000 yuan. Calculate the investment for each scheme over five years using the above formula:

[0140] Option 1:

[0141] Option 2:

[0142] Option 3:

[0143] Option 4:

[0144] Option 5:

[0145] Option 6:

[0146] This embodiment calculates the total investment after simulating five years, or 1825 days, as shown in Table 8.

[0147] Table 8 Total Investment for Each Scheme

[0148]

[0149] Combining Tables 7 and 8, the net profit after simulating five years, or 1825 days, in this embodiment can be obtained, as shown in Table 9.

[0150] Table 9 Net Income of Each Scheme

[0151]

[0152] Step 700: Among the multiple available well pattern schemes, the one with the largest net well pattern benefit is marked as the final well pattern scheme.

[0153] After running for the same period, the scheme with the highest net benefit is the economically optimal well pattern scheme for in-situ leaching uranium mining at that point in time. Among the six schemes simulated in this study, scheme 3 has the highest net benefit and is the economically optimal well pattern scheme for in-situ leaching uranium mining over five years. Therefore, this embodiment recommends the seven-point method with a 25m well spacing scheme. In practical applications, it is also necessary to simulate well pattern arrangements such as the nine-point method, the inverse nine-point method, and the matrix method, as well as well pattern schemes with arbitrary well spacing, and calculate the economic benefits after simulation to ultimately obtain the economically optimal well pattern scheme among the alternative schemes.

[0154] Example 2

[0155] like Figure 6 As shown, in order to implement the technical solution in Embodiment 1 and achieve the corresponding functions and technical effects, this embodiment also provides a well pattern determination system for in-situ leaching uranium mining, including:

[0156] The well pattern determination module is used to determine multiple available well pattern schemes based on the target mining area; the data corresponding to each available well pattern scheme includes the number of pumping holes, the number of injection holes, and the well spacing.

[0157] The in-situ leaching uranium mining simulation module is used to simulate in-situ leaching uranium mining for any of the aforementioned well network schemes, in order to determine the effective convection volume set, effective leaching volume set, injected solute concentration set, and extracted solute concentration set within a first preset time period. The effective convection volume represents the area controlled by the streamlines flowing from the injection hole to the extraction hole during the in-situ leaching uranium mining simulation; the effective leaching volume represents the spatial intersection of the effective convection volume and the ore body volume within the target mining area at the same time during the in-situ leaching uranium mining simulation; the injected solute concentration represents the concentration of solute injected from the injection hole during the in-situ leaching uranium mining simulation; and the extracted solute concentration represents the concentration of solute extracted from the extraction hole during the in-situ leaching uranium mining simulation.

[0158] The module for determining the effective utilization rate of impregnation and the proportion of solute is used to determine the set of effective utilization rates of impregnation based on the set of effective convection volumes and the set of effective impregnation volumes; and to determine the set of solute proportion coefficients based on the set of injected solute concentrations and the set of extracted solute concentrations.

[0159] The function fitting module is used to perform time-varying fitting based on the set of effective utilization rates of dyeing to obtain a fitting function for effective utilization rate of dyeing; and to perform time-varying fitting based on the set of solute proportion coefficients to obtain a fitting function for solute proportion coefficients.

[0160] The revenue determination module is used to calculate the total uranium ore revenue of the target mining area within a second preset time period based on the fitting function of the effective utilization rate of the leaching and the fitting function of the solute proportion coefficient.

[0161] The net revenue determination module is used to obtain the total development investment of the target mining area within the second preset time period, and calculate the net revenue of the well network in combination with the total revenue of the uranium mine.

[0162] The final well pattern scheme determination module is used to mark the well pattern scheme with the largest net well pattern benefit among the multiple available well pattern schemes as the final well pattern scheme.

[0163] Example 3

[0164] This embodiment provides an electronic device, including a memory and a processor. The memory stores a computer program, and the processor runs the computer program to enable the electronic device to execute the well pattern determination method for in-situ leaching uranium mining according to Embodiment 1. Optionally, the above-mentioned electronic device may be a server.

[0165] In addition, embodiments of the present invention also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the well pattern determination method for in-situ leaching uranium mining according to Embodiment 1.

[0166] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0167] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for determining the well pattern in in-situ leaching uranium mining, characterized in that, The methods include: Based on the target mining area, multiple well network schemes to be used were determined; The data corresponding to each of the proposed well network schemes includes the number of pumping holes, the number of injection holes, and the well spacing. For any of the proposed well pattern schemes, in-situ leaching uranium mining simulation is performed to determine the effective convection volume set, effective leaching volume set, injected solute concentration set, and extracted solute concentration set within a first preset time period. The effective convection volume represents the area controlled by the streamlines flowing from the injection hole to the extraction hole during the in-situ leaching uranium mining simulation; the effective leaching volume represents the spatial intersection of the effective convection volume and the ore body volume within the target mining area at the same time during the in-situ leaching uranium mining simulation; the injected solute concentration represents the concentration of solute injected from the injection hole during the in-situ leaching uranium mining simulation; and the extracted solute concentration represents the concentration of solute extracted from the extraction hole during the in-situ leaching uranium mining simulation. Based on the set of effective convection volumes and the set of effective impregnation volumes, a set of effective impregnation utilization rates is determined; based on the set of injected solute concentrations and the set of extracted solute concentrations, a set of solute proportion coefficients is determined. A time-varying fitting function for the effective utilization rate of dyeing is obtained by fitting the time variation of the set of solute proportion coefficients; a time-varying fitting function for the solute proportion coefficients is obtained by fitting the time variation of the set of solute proportion coefficients. Based on the fitting function of the effective utilization rate of the leaching and the fitting function of the solute ratio coefficient, the total uranium ore revenue of the target mining area during the second preset time period is calculated. Obtain the total development investment of the target mining area within the second preset time period, and calculate the net well network revenue in combination with the total revenue of the uranium mine; The well network scheme with the highest net well network benefit among the multiple available well network schemes is marked as the final well network scheme.

2. The method for determining the well pattern in in-situ leaching uranium mining according to claim 1, characterized in that, Based on the target mining area, several potential well network schemes were identified, including: The well pattern of the target mining area is designed using one of the following methods: the five-point method, the seven-point method, the nine-point method, the inverse nine-point method, and the determinant method, so as to obtain multiple well pattern schemes to be used.

3. The method for determining the well pattern in in-situ leaching uranium mining according to claim 1, characterized in that, The formula for calculating the effective utilization rate of dyeing in the set of effective utilization rates is as follows: in, To achieve effective utilization of leaching efficiency, V UT For effective immersion volume, V qT The effective convection volume is defined as the effective convection volume, and the effective convection volume corresponds to the same moment.

4. The method for determining the well pattern in in-situ leaching uranium mining according to claim 1, characterized in that, The formula for calculating the solute proportion coefficient in the set of solute proportion coefficients is as follows: Among them, K rT This is the solute percentage coefficient; The mass of solute injected into the formation from all injection holes after time T during the simulation of in-situ leaching uranium mining; In a simulation of uranium extraction by in-situ leaching, the mass of solute extracted from all pumping wells after a production time T; t n and t n-1 This indicates the production start-up time during the in-situ leaching uranium mining simulation process; The production time t during the simulation of in-situ leaching uranium mining n At that time, any injection well ZY # The volume of fluid injected; The production time t during the simulation of in-situ leaching uranium mining n At that time, any injection well ZY # The concentration of the injected solute; The production time t during the simulation of in-situ leaching uranium mining n At that time, any pumping well CY # The volume of liquid pumped. The production time t during the simulation of in-situ leaching uranium mining n At that time, any pumping well CY # The concentration of the extracted solute; when # is i, the corresponding extraction hole is CY. i i = 1, 2, 3...; when # is j, the corresponding injection hole is ZY. j j = 1, 2, 3...

5. The method for determining the well pattern in in-situ leaching uranium mining according to claim 1, characterized in that, The function formula for fitting the time variation of the set of effective utilization rates of the dyeing is as follows: y = Vmax*x^n / (k^n+x^n); The function formula for fitting the time change of the set of solute proportion coefficients is: y = a * x^b; Where y is the dependent variable of the function, representing the effective utilization rate of leaching or the solute ratio coefficient; x is the independent variable of the function, representing the production time in the simulation of in-situ leaching uranium mining; Vmax, n, K, a, and b are all coefficients of the function formula.

6. The method for determining the well pattern in in-situ leaching uranium mining according to claim 1, characterized in that, The formula for calculating the total uranium revenue of the target mining area within the second preset time period is as follows: in, The total revenue from the uranium mine is represented by β, the leached uranium concentration is represented by α, the total pumping volume is represented by T, the production start-up time is represented by γ, which corresponds to the second preset time period, and K is the uranium unit price. rT This is the solute ratio coefficient. To ensure the effective utilization rate of the dyeing process.

7. The method for determining the well pattern in in-situ leaching uranium mining according to claim 1, characterized in that, The formula for calculating the total development investment of the target mining area within the second preset time period is as follows: in, To expand the total investment; K represents the total number of wells corresponding to the pumping and injection wells; K m Let t be the cost per well, i be the discount rate, T be the commissioning time, corresponding to the second preset period; M be the annual maintenance and management cost per well; and τ be various other costs, which are fixed values.

8. The method for determining the well pattern in in-situ leaching uranium mining according to claim 1, characterized in that, The method also includes: using GMS software to simulate in-situ uranium leaching.

9. A well pattern determination system for in-situ leaching uranium mining, characterized in that, The system includes: The well pattern determination module is used to determine multiple potential well pattern schemes based on the target mining area; the data corresponding to each potential well pattern scheme includes the number of pumping holes, the number of injection holes, and the well spacing. The in-situ leaching uranium mining simulation module is used to simulate in-situ leaching uranium mining for any of the aforementioned well network schemes, in order to determine the effective convection volume set, effective leaching volume set, injected solute concentration set, and extracted solute concentration set within a first preset time period. The effective convection volume represents the area controlled by the streamlines flowing from the injection hole to the extraction hole during the in-situ leaching uranium mining simulation; the effective leaching volume represents the spatial intersection of the effective convection volume and the ore body volume within the target mining area at the same time during the in-situ leaching uranium mining simulation; the injected solute concentration represents the concentration of solute injected from the injection hole during the in-situ leaching uranium mining simulation; and the extracted solute concentration represents the concentration of solute extracted from the extraction hole during the in-situ leaching uranium mining simulation. The module for determining the effective utilization rate of impregnation and the proportion of solute is used to determine the effective utilization rate set of impregnation based on the effective convection volume set and the effective impregnation volume set; and to determine the proportion coefficient set of solute based on the injected solute concentration set and the extracted solute concentration set. The function fitting module is used to perform time-varying fitting based on the set of effective utilization rates of dyeing to obtain a fitting function for effective utilization rate of dyeing; and to perform time-varying fitting based on the set of solute proportion coefficients to obtain a fitting function for solute proportion coefficients. The revenue determination module is used to calculate the total uranium ore revenue of the target mining area within a second preset time period based on the fitting function of the effective utilization rate of the leaching and the fitting function of the solute proportion coefficient. The net revenue determination module is used to obtain the total development investment of the target mining area within the second preset time period, and calculate the net revenue of the well network in combination with the total revenue of the uranium mine. The final well pattern scheme determination module is used to mark the well pattern scheme with the largest net well pattern benefit among the multiple available well pattern schemes as the final well pattern scheme.

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