Method, device, equipment, medium and product for determining range of sodium metasurface hydrothermal uranium mineralization

Abstract

The invention discloses a sodium metasurface hydrothermal type uranium mineralization range determination method and device, equipment, a medium and a product, and relates to the field of uranium ore resource exploration. Calculating the migration mass fraction of each major element corresponding to the rock sample in the grid, the sum of each high field intensity element and the ratio of the total amount of light rare earth to the total amount of heavy rare earth; drawing a thermodynamic diagram based on the coordinates of the rock sample in each grid, the migration mass fraction of each major element corresponding to the rock sample in each grid, the high-field-intensity element corresponding to the rock sample in each grid and the ratio of light rare earth to heavy rare earth corresponding to the rock sample in each grid; according to the method, the range can be determined accurately and efficiently, the method has the characteristic of high spatial resolution, the success rate of delineating field surface outcrop and deep hidden sodium metasurface type uranium mineralization can be greatly improved, and the prospecting efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of uranium resource exploration, and in particular to a method, apparatus, equipment, medium, and product for determining the extent of sodium-modified hydrothermal uranium mineralization. Background Technology

[0002] Sodium-altered hydrothermal uranium deposits are a common type of uranium deposit. They refer to a class of hydrothermal uranium deposits associated with sodium-altered hydrothermal alteration, characterized by lower ore grades but larger scale and relatively lower development costs. Extensive sodium alteration is the most important characteristic of these deposits. The ore-bearing host rocks are typically granite, mylonitized gneiss, or metamorphic clastic rocks, with widespread albite enrichment and quartz dissolution. Uranium mineralization is usually closely related to sodium alteration, often occurring later in time and spatially within the sodium-altered rocks, but its extent is smaller. Therefore, accurately and efficiently determining the extent of sodium-altered hydrothermal uranium mineralization is of great significance for the exploration of sodium-altered hydrothermal uranium deposits. Summary of the Invention

[0003] The purpose of this application is to provide a method, apparatus, equipment, medium, and product for determining the range of sodium-replaced hydrothermal uranium mineralization, which can accurately and efficiently determine the range of sodium-replaced hydrothermal uranium mineralization and has the characteristics of high spatial resolution.

[0004] To achieve the above objectives, this application provides the following solution:

[0005] In a first aspect, this application provides a method for determining the extent of sodium-modified hydrothermal uranium mineralization, including:

[0006] The uranium exploration area was gridded, and the contents of each major element, each high field strength element, and each rare earth element in the rock samples within each grid were obtained.

[0007] For any given grid, the migration mass fraction of each major element in the rock sample within the grid is calculated based on the content of each major element in the rock sample within the grid.

[0008] Calculate the sum of all high field strength elements in the rock sample within the grid to obtain the sum of high field strength elements corresponding to the rock sample within the grid;

[0009] Based on the content of each rare earth element in the rock sample within the grid, the ratio of the total amount of light rare earth to the total amount of heavy rare earth in the rock sample within the grid is calculated to obtain the light and heavy rare earth ratio of the rock sample within the grid.

[0010] Based on the coordinates of the rock samples in each grid, the migration mass fraction of each principal element corresponding to the rock samples in each grid, the high field strength element corresponding to the rock samples in each grid, and the light and heavy rare earth ratio corresponding to the rock samples in each grid, a heat map is drawn to obtain the element mass spatial migration map.

[0011] The extent of sodium-modified hydrothermal uranium mineralization within the uranium exploration area is determined based on the anomalous regions corresponding to the migration mass fractions of major elements, high field strength elements and their corresponding anomalous regions, and the anomalous regions corresponding to the ratio of light to heavy rare earth elements in the elemental mass spatial migration diagram.

[0012] In one embodiment, the migration mass fraction of each major element in the rock sample within the grid is calculated based on the content of each major element in the rock sample within the grid, specifically including:

[0013] Using aluminum as the inactive component, the migration mass fraction of each major element in the rock sample within the grid is calculated based on the content of each major element in the rock sample within the grid.

[0014] In one embodiment, a heat map is plotted based on the coordinates of the rock samples within each grid, the migration mass fraction of each principal element corresponding to the rock samples within each grid, the high field strength element corresponding to the rock samples within each grid, and the light-heavy rare earth ratio corresponding to the rock samples within each grid, to obtain an element mass spatial migration map, specifically including:

[0015] Based on the coordinates of the rock samples in each grid, the migration mass fraction of each principal element corresponding to the rock samples in each grid, the high field strength elements corresponding to the rock samples in each grid, and the light and heavy rare earth ratios corresponding to the rock samples in each grid, a heat map is drawn using the Kriging interpolation method to obtain the element mass spatial migration map.

[0016] In one embodiment, the rock samples within the grid include fresh rock samples and altered rock samples; using aluminum as the inactive component, the migration mass fraction of each major element in the rock samples within the grid is calculated based on the content of each major element, specifically including:

[0017] Based on the aluminum content in the fresh rock samples within the grid and the aluminum content in the altered rock samples within the grid, calculate the normalization factor value corresponding to the rock samples within the grid;

[0018] Based on the normalized factor values ​​of the rock samples within the grid, the content of each major element in the fresh rock samples within the grid, and the content of each major element in the altered rock samples within the grid, the migration mass fraction of each major element corresponding to the rock samples within the grid is calculated.

[0019] In one embodiment, based on the aluminum content in fresh rock samples within the grid and the aluminum content in altered rock samples within the grid, the normalization factor value corresponding to the rock samples within the grid is calculated, specifically as follows:

[0020] The normalization factor corresponding to the rock sample in the grid is obtained by calculating the ratio of the aluminum content in the fresh rock sample in the grid to the aluminum content in the altered rock sample in the grid.

[0021] In one embodiment, based on the normalized factor values ​​corresponding to the rock samples within the grid, the content of each major element in the fresh rock samples within the grid, and the content of each major element in the altered rock samples within the grid, the migration mass fraction of each major element corresponding to the rock samples within the grid is calculated, specifically as follows:

[0022] According to the formula Calculate the migration mass fraction ΔC of the i-th principal element corresponding to the rock sample within the grid. i , where C i A C represents the content of the i-th major element in the altered rock sample within the grid. i O K represents the content of the i-th major element in the fresh rock sample within the grid, and K represents the normalization factor value.

[0023] Secondly, this application provides an apparatus for determining the extent of sodium-modified hydrothermal uranium mineralization, comprising:

[0024] The grid acquisition module is used to grid the uranium exploration area and acquire the contents of major elements, high field strength elements and rare earth elements in the rock samples within each grid.

[0025] The migration mass fraction calculation module is used to calculate the migration mass fraction of each major element in the rock sample within the grid, based on the content of each major element in the rock sample within the grid.

[0026] The high field strength element and calculation module is used to calculate the sum of each high field strength element in the rock sample within the grid, and to obtain the high field strength element sum corresponding to the rock sample within the grid.

[0027] The light and heavy rare earth ratio calculation module is used to calculate the ratio of the total light rare earth content to the total heavy rare earth content in the rock sample within the grid based on the content of each rare earth element in the rock sample within the grid, and to obtain the light and heavy rare earth ratio corresponding to the rock sample within the grid.

[0028] The element mass space migration map drawing module is used to draw a heat map based on the coordinates of the rock samples in each grid, the migration mass fraction of each principal element corresponding to the rock samples in each grid, the high field strength element corresponding to the rock samples in each grid, and the light and heavy rare earth ratio corresponding to the rock samples in each grid, so as to obtain the element mass space migration map.

[0029] The module for determining the extent of sodium-replaced hydrothermal uranium mineralization is used to determine the extent of sodium-replaced hydrothermal uranium mineralization within a uranium exploration area based on the anomalous regions corresponding to the migration mass fractions of major elements in the elemental mass space migration map, the anomalous regions corresponding to high field strength elements and their corresponding values, and the anomalous regions corresponding to the ratios of light and heavy rare earth elements.

[0030] Thirdly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining the range of sodium-alternating hydrothermal uranium mineralization as described in any of the preceding claims.

[0031] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for determining the extent of sodium-replaced hydrothermal uranium mineralization as described in any of the preceding claims.

[0032] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the method for determining the range of sodium-replaced hydrothermal uranium mineralization as described in any of the preceding claims.

[0033] According to the specific embodiments provided in this application, this application has the following technical effects:

[0034] This application provides a method, apparatus, equipment, medium, and product for determining the extent of sodium-modified hydrothermal uranium mineralization. This application grids the uranium exploration area, which can improve spatial resolution. The smaller the grid, the higher the resolution. Each grid is sampled. Grid sampling eliminates the need for time-consuming and laborious detailed studies. Furthermore, sampling each grid can effectively identify weak geochemical signals on the surface and in concealed mineralization. Moreover, determining the extent by identifying anomalous areas corresponding to multiple indicators is more accurate than delineating using a single indicator. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application 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 this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a flowchart illustrating a method for determining the extent of sodium-replaced hydrothermal uranium mineralization according to an embodiment of this application.

[0037] Figure 2 A flowchart illustrating a method for determining the extent of sodium-replaced hydrothermal uranium mineralization, provided in another embodiment of this application;

[0038] Figure 3 This is an elemental mass space migration diagram provided in another embodiment of this application;

[0039] Figure 4 This is an overlay image of multiple anomaly zones in sodium-replaced hydrothermal uranium mineralization, provided in another embodiment of this application.

[0040] Figure 5 A schematic diagram of the functional modules of a sodium-replacement hydrothermal uranium mineralization range determination device provided in an embodiment of this application;

[0041] Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0042] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0043] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0044] Currently, there are many methods for uranium exploration, including remote sensing, petrogeochemical methods, geophysical methods, and geochemical methods. In the exploration of sodium-alkaline hydrothermal uranium deposits, petrogeochemical methods are an important tool for identifying uranium mineralization. However, traditional petrogeochemical studies typically use a single uranium element anomaly to delineate uranium anomaly zones, paying insufficient attention to other elements and neglecting the occurrence patterns of elemental combinations. This method of delineating uranium anomaly zones using a single element is difficult to accurately locate ore bodies spatially, resulting in a low success rate and requiring extensive field sampling, which is inefficient. Especially when boreholes do not reveal uranium mineralization, traditional petrogeochemical methods can obtain very little uranium mineralization information. Furthermore, as uranium exploration progresses, most surface and shallow uranium mineralization has been discovered, highlighting the importance of deep exploration. Therefore, this application provides a method for determining the extent of sodium-alkaline hydrothermal uranium mineralization, such as... Figure 1As shown, the process includes steps 201 to 206. Wherein:

[0045] Step 201: Grid the uranium exploration area and obtain the contents of each major element, each high field strength element and each rare earth element in the rock samples in each grid.

[0046] Step 202: For any grid, calculate the migration mass fraction of each major element in the rock sample within the grid based on the content of each major element in the rock sample within the grid.

[0047] Step 203: Calculate the sum of all high field strength elements in the rock sample within the grid to obtain the sum of high field strength elements corresponding to the rock sample within the grid.

[0048] Step 204: Based on the content of each rare earth element in the rock sample within the grid, calculate the ratio of the total amount of light rare earth elements to the total amount of heavy rare earth elements in the rock sample within the grid, and obtain the light and heavy rare earth ratio corresponding to the rock sample within the grid.

[0049] Step 205: Based on the coordinates of the rock samples in each grid, the migration mass fraction of each principal element corresponding to the rock samples in each grid, the high field strength element corresponding to the rock samples in each grid, and the light and heavy rare earth ratio corresponding to the rock samples in each grid, draw a heat map to obtain the element mass spatial migration map.

[0050] Step 206: Determine the extent of sodium metasomatic hydrothermal uranium mineralization within the uranium exploration area based on the abnormal regions corresponding to the migration mass fractions of each major element in the elemental mass space migration map, the abnormal regions corresponding to high field strength elements and their corresponding high field strength elements, and the abnormal regions corresponding to the ratio of light to heavy rare earth elements.

[0051] In another exemplary embodiment of this application, the process of determining the uranium exploration area is as follows: the location of the ore body is mainly controlled by three factors: fault structure, rock mass and hydrothermal alteration. Favorable lithology is continental crust remelting granite, which is often rich in silica and alkali and aluminum supersaturated in composition; favorable structure is the fault structure during the mineralization period; favorable hydrothermal alteration mineral assemblage is chlorite, hematite, albite, fluorite, calcite, etc. Therefore, the uranium exploration area corresponding to the target area is determined according to the spatial distribution characteristics of the favorable lithology, favorable structure and favorable hydrothermal alteration mineral assemblage of the target area.

[0052] In another exemplary embodiment of this application, the uranium exploration area is gridded. Specifically, the grid spacing is set according to the extent of the uranium exploration area, and generally, it should meet the requirement that there are at least 100 samples within the uranium exploration area. The denser the grid spacing, the higher the accuracy of the final obtained range of sodium-alternated hydrothermal uranium mineralization.

[0053] In another exemplary embodiment of this application, the migration mass fraction of each major element in the rock sample within the grid is calculated based on the content of each major element in the rock sample within the grid, specifically including:

[0054] Using aluminum as the inactive component, the migration mass fraction of each major element in the rock sample within the grid is calculated based on the content of each major element in the rock sample within the grid.

[0055] In another exemplary embodiment of this application, the rock samples within the grid include fresh rock samples and altered rock samples; using aluminum as the inactive component, the migration mass fraction of each major element corresponding to the rock samples within the grid is calculated based on the content of each major element in the rock samples within the grid, specifically including:

[0056] Based on the aluminum content in the fresh rock samples within the grid and the aluminum content in the altered rock samples within the grid, calculate the normalization factor value corresponding to the rock samples within the grid;

[0057] Based on the normalized factor values ​​of the rock samples within the grid, the content of each major element in the fresh rock samples within the grid, and the content of each major element in the altered rock samples within the grid, the migration mass fraction of each major element corresponding to the rock samples within the grid is calculated.

[0058] In another exemplary embodiment of this application, based on the aluminum content in the fresh rock sample within the grid and the aluminum content in the altered rock sample within the grid, the normalization factor value corresponding to the rock sample within the grid is calculated, specifically as follows:

[0059] The normalization factor corresponding to the rock sample in the grid is obtained by calculating the ratio of the aluminum content in the fresh rock sample in the grid to the aluminum content in the altered rock sample in the grid.

[0060] In another exemplary embodiment of this application, based on the normalized factor value corresponding to the rock sample within the grid, the content of each major element in the fresh rock sample within the grid, and the content of each major element in the altered rock sample within the grid, the migration mass fraction of each major element corresponding to the rock sample within the grid is calculated, specifically as follows:

[0061] According to the formula Calculate the migration mass fraction ΔC of the i-th principal element corresponding to the rock sample within the grid. i , where C i A C represents the content of the i-th major element in the altered rock sample within the grid.i O K represents the content of the i-th major element in the fresh rock sample within the grid, and K represents the normalization factor value.

[0062] In another exemplary embodiment of this application, a heat map is plotted based on the coordinates of the rock samples in each grid, the migration mass fraction of each principal element corresponding to the rock samples in each grid, the high field strength element corresponding to the rock samples in each grid, and the light-heavy rare earth ratio corresponding to the rock samples in each grid, to obtain an element mass spatial migration map, specifically including:

[0063] Based on the coordinates of rock samples within each grid, the migration mass fractions of each principal element corresponding to the rock samples within each grid, the high field strength elements corresponding to the rock samples within each grid, and the light and heavy rare earth ratios corresponding to the rock samples within each grid, a heat map was drawn using Kriging interpolation to obtain a spatial migration map of element mass. The spatial coordinates of surface samples were determined and recorded using a GPS locator, while the spatial coordinates of borehole samples were calculated and recorded using the borehole opening coordinates, borehole direction and inclination, and sample depth.

[0064] In another exemplary embodiment of this application, the extent of sodium-modified hydrothermal uranium mineralization within the uranium exploration area is determined based on the anomalous regions corresponding to the migration mass fractions of each major element in the elemental mass space migration map, the anomalous regions corresponding to high field strength elements and their corresponding values, and the anomalous regions corresponding to the ratios of light and heavy rare earth elements. Specifically, this includes:

[0065] Within the uranium exploration area, the lower limit values ​​of anomalies for each indicator (migration mass fraction of each major element, high field strength elements, and the ratio of light to heavy rare earth elements) are first determined.

[0066] Based on the lower limit of the anomaly, determine the anomaly regions corresponding to the migration mass fractions of each principal element, the high field strength elements and their corresponding anomaly regions, and the anomaly regions corresponding to the ratio of light to heavy rare earth elements in the element mass space migration diagram.

[0067] The range in which at least three indicators overlap can be used to determine if it is a sodium-modified hydrothermal uranium mineralization range.

[0068] The method for determining the extent of sodium metasomatic hydrothermal uranium mineralization provided in this application is based on rock geochemistry and has the advantages of high spatial resolution, high efficiency and accuracy. It can significantly improve the success rate of delineating surface outcrops and deep concealed sodium metasomatic hydrothermal uranium mineralization, improve prospecting efficiency and success rate, and reduce prospecting costs.

[0069] This application is applicable to the exploration of sodium metasomatic hydrothermal uranium deposits in various surrounding rocks, including sedimentary and igneous rocks. It is particularly effective in predicting concealed ore bodies when there are a large number of borehole samples.

[0070] This application can accurately characterize the migration patterns of elements, effectively identify weak geochemical signals on the surface and in concealed mineralization, and significantly reduce the errors of manual interpretation and avoid misjudgment based on a single indicator.

[0071] The high spatial resolution of this application can significantly improve the accuracy and efficiency of delineation of sodium metasomatic hydrothermal uranium mineralization, and can provide a scientific basis for further prediction of mineralization prospective areas and selection of target areas.

[0072] This application has a working area of ​​25km². 2 Taking the peripheral exploration of a sodium-replaced hydrothermal uranium deposit as an example, this paper details the method for determining the extent of sodium-replaced hydrothermal uranium mineralization provided in the above embodiments. The specific steps are as follows: Figure 2 As shown, it includes:

[0073] Step 1: Determine the spatial scope of uranium exploration based on lithology, structure, and alteration.

[0074] The spatial extent of sodium metasomatic hydrothermal uranium deposit exploration is determined based on favorable lithological identification, structural analysis, and hydrothermal alteration mineral assemblage.

[0075] Three types of rock bodies are distributed within the exploration area: Early Paleozoic diorite, Late Paleozoic granite, and Mesozoic granodiorite. The Late Paleozoic granite, a remelted continental crustal type, is the most favorable lithology for uranium mineralization. This granite is silica- and alkali-rich. The main structural features within the exploration area are northwest- and northeast-trending, with northwest-trending fault structures being the most favorable for mineralization. Hydrothermal alteration is evident in the rocks, including limonite, hematite, carbonatization, chloritization, fluoritization, albite alteration, and kaolinization. The favorable alteration mineral assemblage consists of hematite, calcite, chlorite, fluorite, and albite. Based on the spatial distribution characteristics of these ore-controlling elements, the spatial range for uranium exploration is determined to be 9.0 km. 2 ;

[0076] Step 2: Grid sampling and record the spatial location of sample points.

[0077] Geological sampling is conducted within the spatial area defined in step 1, using a grid. Each grid represents one sample point, and the spatial coordinates of each sample point are recorded. Specifically, within the uranium exploration area defined in step 1, grid sampling is performed at intervals of 300m × 300m, and the spatial coordinates of the surface samples are recorded using a GPS locator.

[0078] Step 3: Analyze the major elements, high field strength, and rare earth elements in the sample.

[0079] The contents of Al, some major elements, high field strength elements, and rare earth elements closely related to uranium migration were analyzed in the rock samples taken from each sampling point in step 2 above. Major elements closely related to uranium migration include Na, K, Si, P, Fe, and Ti; high field strength elements include Nb, Ta, Zr, and Hf; and rare earth elements include La, Ce, Pr, Nd, Pm, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu.

[0080] Specifically, whole-rock geochemical analysis is performed on the collected rock samples to determine the content of each element.

[0081] Al and major elements were analyzed using X-ray fluorescence spectroscopy. Whole rock samples were first ground into 200-mesh powder, mixed uniformly with lithium borate (LiBO2 and Li2B4O7) flux, and then fired into glass slides. The samples were then analyzed using an Axios X-ray spectrometer, and the elements were corrected for the theoretical α coefficient.

[0082] Trace element (high field strength elements and rare earth elements) analysis was performed using inductively coupled plasma mass spectrometry (ICP-MS). Samples were dissolved in a sealed dissolution vessel using Hf + HNO3, and the Hf was evaporated off on a hot plate. The solution was then sealed with nitric acid, diluted, and analyzed by ICP-MS. All measured sample data, along with coordinates, were summarized in an Excel spreadsheet.

[0083] Step 4: Calculate the normalization factor K of the sample elements.

[0084] Calculate the normalization factor value K for each sampling point in step 3 above. The normalization factor value K is determined by the inactive component Al element in the uranium mineralization process, using the Al2O3 content of fresh rocks (unweathered and unaltered) in the working area as a benchmark. For any grid, according to the formula K = C k A / C k O Calculate the normalization factor value corresponding to the rock sample within the grid, where C k A and C k O The values ​​represent the aluminum content in the altered rock sample within the grid and the aluminum content in the fresh rock within the grid, respectively. The calculation results are summarized in an Excel table.

[0085] Step 5: Create an element mass space migration map for element migration.

[0086] For any given grid, according to the formula The standardized and corrected data for the i-th major element, i.e., the migration mass fraction of the i-th major element, is calculated. Major elements are represented by their oxide content. Additionally, for high field strength elements, the sums of Zr, Hf, Nb, and Ta elements need to be calculated. For rare earth elements, the ratio of total light rare earth elements to total heavy rare earth elements needs to be calculated. All sample index values ​​and spatial coordinates are compiled, and data processing and geochemical mapping are performed using Kriging interpolation in Surfer 15 software to obtain the elemental mass spatial migration map. It is important to note that when drawing the elemental mass spatial migration map, within the exploration area, in addition to gridded sampling data, previously obtained rock geochemical data from certain specific locations can be fully utilized. Both can be used together for data processing and geochemical mapping, such as... Figure 3 As shown, Figure 3 Parts a, b, c, and d in the diagram represent the spatial migration diagrams of elemental mass corresponding to Na, Ti, P, and the ratio of light to heavy rare earth elements, respectively.

[0087] Step 6: Filter out abnormal areas displayed by different indicators. Based on the elemental quality space migration map established in Step 5 above, initially filter out abnormal areas displayed by each indicator.

[0088] Within the uranium exploration area, anomaly lower limits are determined based on standardized data for each indicator. For example, for elements migrating out during uranium mineralization, an anomaly lower limit of -0.4 is selected; for elements migrating in during uranium mineralization, an anomaly lower limit of 2 is selected; and the anomaly areas for each indicator are delineated based on the anomaly values.

[0089] Step 7: Perform big data overlay analysis to delineate favorable spatial locations for sodium-replaced hydrothermal uranium mineralization. The anomalous areas extracted in Step 6 are spatially overlaid to identify multiple anomalous overlay regions, thus delineating the favorable spatial locations for sodium-replaced hydrothermal uranium mineralization, i.e., the range of sodium-replaced hydrothermal uranium mineralization.

[0090] like Figure 4 As shown, anomaly areas with multiple indicators were extracted, and spatial overlay analysis was conducted to screen out areas where the anomaly areas of at least three indicators overlapped, thus determining favorable spatial locations for sodium-alternating hydrothermal uranium mineralization.

[0091] Based on the same inventive concept, this application also provides a sodium-replacement hydrothermal uranium mineralization range determination apparatus for implementing the above-described method for determining the range of sodium-replacement hydrothermal uranium mineralization. The solution provided by this apparatus is similar to the solution described in the above-described method; therefore, the specific limitations in one or more embodiments of the sodium-replacement hydrothermal uranium mineralization range determination apparatus provided below can be found in the limitations of the sodium-replacement hydrothermal uranium mineralization range determination method described above, and will not be repeated here.

[0092] In one exemplary embodiment, such as Figure 5 As shown, a device for determining the extent of sodium-modified hydrothermal uranium mineralization is provided, comprising:

[0093] The grid acquisition module is used to grid the uranium exploration area and acquire the contents of major elements, high field strength elements and rare earth elements in the rock samples within each grid.

[0094] The migration mass fraction calculation module is used to calculate the migration mass fraction of each major element in the rock sample within the grid, based on the content of each major element in the rock sample within the grid.

[0095] The high field strength element and calculation module is used to calculate the sum of each high field strength element in the rock sample within the grid, and to obtain the high field strength element sum corresponding to the rock sample within the grid.

[0096] The light and heavy rare earth ratio calculation module is used to calculate the ratio of the total light rare earth content to the total heavy rare earth content in the rock sample within the grid based on the content of each rare earth element in the rock sample within the grid, and to obtain the light and heavy rare earth ratio corresponding to the rock sample within the grid.

[0097] The element mass space migration map drawing module is used to draw a heat map based on the coordinates of the rock samples in each grid, the migration mass fraction of each principal element corresponding to the rock samples in each grid, the high field strength element corresponding to the rock samples in each grid, and the light and heavy rare earth ratio corresponding to the rock samples in each grid, so as to obtain the element mass space migration map.

[0098] The module for determining the extent of sodium-modified hydrothermal uranium mineralization is used to determine the extent of sodium-modified hydrothermal uranium mineralization within a uranium exploration area based on the anomalous regions corresponding to the migration mass fractions of major elements, high field strength elements and their corresponding anomalous regions, and the anomalous regions corresponding to the ratio of light to heavy rare earth elements in the elemental mass space migration map.

[0099] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 6As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores data for determining the extent of sodium-alternating hydrothermal uranium mineralization. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network. When executed by the processor, the computer program implements a method for determining the extent of sodium-alternating hydrothermal uranium mineralization.

[0100] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0101] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the above-described method embodiments.

[0102] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the above-described method embodiments.

[0103] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the above-described method embodiments.

[0104] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0105] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0106] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0107] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0108] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, 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 this application.

Claims

1. A method for determining the extent of sodium-replaced hydrothermal uranium mineralization, characterized in that, The method for determining the extent of sodium-modified hydrothermal uranium mineralization includes: The uranium exploration area was gridded, and the contents of each major element, each high field strength element, and each rare earth element in the rock samples within each grid were obtained. For any given grid, the migration mass fraction of each major element in the rock sample within the grid is calculated based on the content of each major element in the rock sample within the grid. Calculate the sum of all high field strength elements in the rock sample within the grid to obtain the sum of high field strength elements corresponding to the rock sample within the grid; Based on the content of each rare earth element in the rock sample within the grid, the ratio of the total amount of light rare earth to the total amount of heavy rare earth in the rock sample within the grid is calculated to obtain the light and heavy rare earth ratio of the rock sample within the grid. Based on the coordinates of the rock samples in each grid, the migration mass fraction of each principal element corresponding to the rock samples in each grid, the high field strength element corresponding to the rock samples in each grid, and the light and heavy rare earth ratio corresponding to the rock samples in each grid, a heat map is drawn to obtain the element mass spatial migration map. The extent of sodium-modified hydrothermal uranium mineralization within the uranium exploration area is determined based on the anomalous regions corresponding to the migration mass fractions of major elements, high field strength elements and their corresponding anomalous regions, and the anomalous regions corresponding to the ratio of light to heavy rare earth elements in the elemental mass spatial migration diagram.

2. The method for determining the extent of sodium-modified hydrothermal uranium mineralization according to claim 1, characterized in that, Based on the content of each major element in the rock samples within the grid, the migration mass fraction of each major element corresponding to the rock samples within the grid is calculated, specifically including: Using aluminum as the inactive component, the migration mass fraction of each major element in the rock sample within the grid is calculated based on the content of each major element in the rock sample within the grid.

3. The method for determining the extent of sodium-alternated hydrothermal uranium mineralization according to claim 1, characterized in that, Based on the coordinates of the rock samples within each grid, the migration mass fraction of each principal element corresponding to the rock samples within each grid, the high field strength elements corresponding to the rock samples within each grid, and the light-heavy rare earth ratio corresponding to the rock samples within each grid, a heat map is plotted to obtain the spatial migration map of elemental mass, specifically including: Based on the coordinates of the rock samples in each grid, the migration mass fraction of each principal element corresponding to the rock samples in each grid, the high field strength elements corresponding to the rock samples in each grid, and the light and heavy rare earth ratios corresponding to the rock samples in each grid, a heat map is drawn using the Kriging interpolation method to obtain the element mass spatial migration map.

4. The method for determining the extent of sodium-alternated hydrothermal uranium mineralization according to claim 2, characterized in that, The rock samples within the grid include fresh rock samples and altered rock samples; taking aluminum as the inactive component, the migration mass fraction of each major element in the rock samples within the grid is calculated based on the content of each major element, specifically including: Based on the aluminum content in the fresh rock samples within the grid and the aluminum content in the altered rock samples within the grid, calculate the normalization factor value corresponding to the rock samples within the grid; Based on the normalized factor values ​​of the rock samples within the grid, the content of each major element in the fresh rock samples within the grid, and the content of each major element in the altered rock samples within the grid, the migration mass fraction of each major element corresponding to the rock samples within the grid is calculated.

5. The method for determining the extent of sodium-modified hydrothermal uranium mineralization according to claim 4, characterized in that, Based on the aluminum content in the fresh rock samples and the aluminum content in the altered rock samples within the grid, the normalization factor value corresponding to the rock samples within the grid is calculated, specifically as follows: The normalization factor corresponding to the rock sample in the grid is obtained by calculating the ratio of the aluminum content in the fresh rock sample in the grid to the aluminum content in the altered rock sample in the grid.

6. The method for determining the extent of sodium-modified hydrothermal uranium mineralization according to claim 4, characterized in that, Based on the normalized factor values ​​of the rock samples within the grid, the content of each major element in the fresh rock samples within the grid, and the content of each major element in the altered rock samples within the grid, the migration mass fraction of each major element corresponding to the rock samples within the grid is calculated, specifically as follows: According to the formula Calculate the migration mass fraction ΔC of the i-th principal element corresponding to the rock sample within the grid. i , where C i A C represents the content of the i-th major element in the altered rock sample within the grid. i O K represents the content of the i-th major element in the fresh rock sample within the grid, and K represents the normalization factor value.

7. A device for determining the range of uranium mineralization in sodium-replaced hydrothermal vents, characterized in that, The apparatus for determining the extent of sodium-modified hydrothermal uranium mineralization includes: The grid acquisition module is used to grid the uranium exploration area and acquire the contents of major elements, high field strength elements and rare earth elements in the rock samples within each grid. The migration mass fraction calculation module is used to calculate the migration mass fraction of each major element in the rock sample within the grid, based on the content of each major element in the rock sample within the grid. The high field strength element and calculation module is used to calculate the sum of each high field strength element in the rock sample within the grid, and to obtain the high field strength element sum corresponding to the rock sample within the grid. The light and heavy rare earth ratio calculation module is used to calculate the ratio of the total light rare earth content to the total heavy rare earth content in the rock sample within the grid based on the content of each rare earth element in the rock sample within the grid, and to obtain the light and heavy rare earth ratio corresponding to the rock sample within the grid. The element mass space migration map drawing module is used to draw a heat map based on the coordinates of the rock samples in each grid, the migration mass fraction of each principal element corresponding to the rock samples in each grid, the high field strength element corresponding to the rock samples in each grid, and the light and heavy rare earth ratio corresponding to the rock samples in each grid, so as to obtain the element mass space migration map. The module for determining the extent of sodium-replaced hydrothermal uranium mineralization is used to determine the extent of sodium-replaced hydrothermal uranium mineralization within a uranium exploration area based on the anomalous regions corresponding to the migration mass fractions of major elements in the elemental mass space migration map, the anomalous regions corresponding to high field strength elements and their corresponding values, and the anomalous regions corresponding to the ratios of light and heavy rare earth elements.

8. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method for determining the extent of sodium-alternating hydrothermal uranium mineralization as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the method for determining the extent of sodium-alternating hydrothermal uranium mineralization as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the method for determining the extent of sodium-alternating hydrothermal uranium mineralization as described in any one of claims 1-6.

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