Sandstone-type uranium ore enrichment area sweet spot prediction method

Abstract

The invention provides a sandstone type uranium ore enrichment area sweet spot prediction method comprising the following steps: obtaining field core catalog and drilling information, and establishing a uranium-bearing rock series stratigraphic framework; according to the uranium-bearing rock series stratigraphic framework, uranium reservoirs, redox layers and mineralization data of all the drilling positions are obtained and imported into geological drawing software, and spatial distribution diagrams of the uranium reservoirs, reduced geologic bodies, interlayer oxidation zones, surface ore, mineralization layers and industrial ore are generated; superposing the spatial distribution diagrams of the outside-surface ore, the mineralization layer and the industrial ore with the spatial distribution diagrams of the uranium reservoir, the reduced geologic body and the interlayer oxidation zone respectively, and establishing spatial configuration relationships between the outside-surface ore, the mineralization layer and the industrial ore and the uranium reservoir, the reduced geologic body and the interlayer oxidation zone respectively; the prospecting mark of the rich ore body is tracked according to the spatial configuration relation of the outside-surface ore, the mineralization layer and the industrial ore with the uranium reservoir, the reduced geologic body and the interlayer oxidation zone, the uranium ore enrichment area sweet spot prediction is performed according to the prospecting mark, and the uranium ore exploration accuracy and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sandstone-type uranium ore exploration, and in particular to a method for predicting sweet spots in sandstone-type uranium ore enrichment areas. Background Art

[0002] Sandstone-type uranium deposits are exogenous, post-forming uranium deposits occurring within clastic rocks such as sandstone and conglomerate. Sandstone-type uranium deposits occur within continental and marine-continental sedimentary rocks in large and medium-sized artesian basins on continental or intermediate blocks, as well as in intermontane basins within orogenic belts. Fluvial and deltaic sedimentary formations are the most important. Uranium-bearing sandstones are primarily Mesozoic and Cenozoic, with a few dating back to the Mesoproterozoic and Neopaleozoic. There are two primary genetic types of sandstone-type uranium deposits: interlayer oxidation zone and phreatic oxidation zone. The uranium minerals in these deposits are primarily pitchblende and uraninite, with secondary uranium minerals playing a significant role in some deposits. Furthermore, in sandstone-type uranium exploration, sweet spots are defined as areas within a deposit or ore body with high uranium concentrations and strong economic mining potential. These areas typically possess favorable mineralization conditions, such as a suitable mineralization environment, high concentrations of uranium mineralization, and good orebody connectivity.

[0003] Publication number CN111694069A discloses a rapid zone selection method for early exploration of sandstone-type uranium deposits. The method comprises collecting and collating research results and regional geological data of the working area, clarifying the distribution range of the uranium-rich basement and rock mass at the basin margin; determining the stratigraphic characteristics and uranium-bearing properties of the working area, and defining the main target mineralization layers; conducting research on the distribution characteristics of favorable sedimentary facies belts, and accurately locating the spatial range of favorable mineralization lithology-facies belts; clarifying the favorable uranium mineralization era, clarifying the paleogeomorphic characteristics of the favorable mineralization period of the target mineralization layers, and clarifying the distribution positions of the sandstone-type confluence channels in the working area; and rapidly selecting favorable exploration areas.

[0004] At present, in the exploration of sandstone-type uranium deposits, although a lot of research has been carried out on the prediction of enrichment areas, the technical system for the precise positioning of rich ore bodies is still imperfect; current research focuses on the delineation of mineralized anomaly areas, while there is insufficient analysis of the quantitative configuration relationship between rich ore bodies and uranium reservoirs, reduced geological bodies and interlayer oxidation zones in three-dimensional space. As a result, it is difficult to effectively identify sweet spots with high uranium concentration and great economic mining potential from enrichment areas, thereby reducing the accuracy and efficiency of ore body exploration. Summary of the Invention

[0005] In view of this, the present invention proposes a method for predicting sweet spots in sandstone-type uranium-enriched areas. By using the key mineral-controlling factors of uranium reservoirs, reduced geological bodies and interlayer oxidation zones, the three-dimensional spatial distribution characteristics of mineralized layers and rich ore bodies are characterized, and the formation and enrichment laws of uranium minerals are analyzed. Then, rich ore bodies can be predicted based on the prediction of the spatial distribution of uranium mineralization bodies, thereby improving the accuracy and efficiency of uranium exploration.

[0006] The technical solution of the present invention is achieved as follows: The present invention provides a method for predicting sweet spots in sandstone-type uranium ore enrichment areas, comprising the following steps: S1, obtain field core logging and drilling information to establish the stratigraphic framework of uranium-bearing rock series; S2, based on the stratigraphic framework of the uranium-bearing rock series, obtain the uranium reservoir, redox layer and mineralization data of each drill hole location, and import them into geological mapping software to generate the spatial distribution map of uranium reservoir, redox geological body, interlayer oxidation zone, extra-surface ore, mineralized layer and industrial ore; S3, superimposing the spatial distribution maps of extra-surface ores, mineralized layers and industrial ores with the spatial distribution maps of uranium reservoirs, reduced geological bodies and interlayer oxidation zones, respectively, to establish the spatial configuration relationships of extra-surface ores, mineralized layers and industrial ores with uranium reservoirs, reduced geological bodies and interlayer oxidation zones; S4, track the prospecting signs of rich ore bodies based on the spatial configuration relationship between extra-surface ores, mineralized layers and industrial mines and uranium reservoirs, reduced geological bodies and interlayer oxidation zones, and predict sweet spots in uranium-rich areas based on the prospecting signs.

[0007] On the basis of the above technical solutions, preferably, in step S1, field core logging and drilling information are obtained to establish a stratigraphic framework of the uranium-bearing rock series, including distinguishing sand bodies of different colors and restoring geological bodies by lithology based on the field core logging, and the drilling data include logging, well logging, seismic and paleontological data. The stratigraphic interfaces and marker layers of the study area are established based on the drilling data, the stratigraphic units of the study area are compared and divided, and the stratigraphic framework of the uranium-bearing rock series is established.

[0008] On the basis of the above technical solution, preferably, step S2 obtains the uranium reservoir, redox layer and mineralization data of each drilling position according to the uranium-containing rock system stratigraphic framework, wherein the uranium reservoir data of each drilling position includes sand body thickness and sand content, the redox layer data includes oxidized sand body thickness, oxidized sand body ratio and reduced geological body thickness, and the mineralization data includes uranium mineralization thickness, industrial mine, mineralized layer and extra-surface mine thickness.

[0009] On the basis of the above technical solution, preferably, step S2 includes dividing uranium mineralization with different enrichment degrees into industrial ore, mineralized layer and extra-surface ore; industrial ore is defined as rich ore body, and the division range is uranium grade U≥0.05%; the division range of mineralized layer is uranium grade 0.01%≤U<0.05%; the division range of extra-surface ore is uranium grade U<0.01%.

[0010] Based on the above technical solution, preferably, step S2 is imported into geological mapping software to generate a spatial distribution map of uranium reservoirs, reduced geological bodies, interlayer oxidation zones, extra-surface minerals, mineralized layers and industrial minerals, including the following sub-steps: S21, importing the sand body thickness, sand content, oxidized sand body thickness, oxidized sand body ratio, reduced geological body thickness, uranium mineralization thickness, industrial ore, mineralized layer and off-surface ore thickness corresponding to each drill hole location into geographic three-dimensional drawing software for projection, and using a spatial interpolation algorithm to interpolate the geological data to generate a corresponding contour map; S22, importing the data of sand body thickness, sand content, oxidized sand body thickness, oxidized sand body ratio, reduced geological body thickness, uranium mineralization thickness, industrial ore, mineralized layer and extra-surface ore thickness corresponding to each drilling location and the corresponding contour map into a plane drawing software, and generating spatial distribution maps of uranium reservoir, reduced geological body, extra-surface ore, mineralized layer and industrial ore respectively; S23, calculating the percentage of the oxidized sand body according to the thickness of the oxidized sand body, and dividing and color-coding different value ranges of the oxidized sand body percentage using plane drawing software to obtain a spatial distribution map of the interlayer oxidation zone.

[0011] On the basis of the above technical solution, preferably, the calculation expression of the percentage of oxidized sand body is: Y L =Y c / G, where Y L is the percentage of oxidized sand body, Y c is the thickness of the oxidized sand body, G is the total thickness of the sand body; The interlayer oxidation zone is divided into an oxidation zone, a transition zone and a reduction zone, wherein the percentage of oxidized sand bodies in the oxidation zone is 80%< Y L ; The percentage of oxidized sand in the transition zone is 0%≤ Y L ≤80%; the percentage of oxidized sand bodies in the reduction zone is Y L = 0%.

[0012] On the basis of the above technical solution, preferably, step S3 includes: superimposing the spatial distribution map of the extra-surface ore with the spatial distribution maps of the uranium reservoir, the reduced geological body and the interlayer oxidation zone, respectively, to establish a spatial configuration relationship between the extra-surface ore and the uranium reservoir, the reduced geological body and the interlayer oxidation zone, wherein the spatial configuration relationship is the relative position and distribution characteristics of the extra-surface ore and the uranium reservoir, the reduced geological body and the interlayer oxidation zone on the plane, as well as the existing correlation relationship; The delineation criteria are: the thickness of the sand body with favorable extra-surface mineralization is 25-35m, the sand content is 60%-90%, the thickness of the dark mudstone is 0-10m, the thickness of the muddy conglomerate is 0-4m, the thickness of the oxidized sand body is 0-20m, and the oxidized sand body ratio is 0-40%.

[0013] On the basis of the above technical solution, preferably, step S3 includes: superimposing the spatial distribution map of the mineralized layer with the spatial distribution maps of the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, respectively, to establish a spatial configuration relationship between the mineralized layer, the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, wherein the spatial configuration relationship is the relative position and distribution characteristics of the mineralized layer, the uranium reservoir, the reduced geological body, and the interlayer oxidation zone on the plane, as well as the existing correlation relationship; The delineation criteria are: the thickness of the sand body of the favorable mineralized layer is 25-35m, the sand content is 60%-90%, the thickness of the dark mudstone is 0-10m, the thickness of the mud conglomerate is 0-4m, the thickness of the oxidized sand body is 0-20m, and the oxidized sand body ratio is 0-40%.

[0014] Based on the above technical solution, preferably, step S3 includes: superimposing the spatial distribution map of the industrial mine with the spatial distribution maps of the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, respectively, to establish a spatial configuration relationship between the industrial mine and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, wherein the spatial configuration relationship is the relative position and distribution characteristics of the industrial mine and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone on the plane, as well as the existing correlation relationship; The delineation criteria are: the thickness of the sand body for favorable industrial mines is 30-35m, the sand content is 80%-90%, the thickness of dark mudstone is 0-5m, the thickness of muddy conglomerate is 0-2m, the thickness of oxidized sand body is 0-5m, and the oxidized sand body ratio is 0-20%.

[0015] Based on the above technical solution, preferably, step S4 tracks the prospecting signs of the rich ore body according to the spatial configuration relationship between the extra-surface ore, the mineralized layer and the industrial ore and the uranium reservoir, the reduced geological body and the interlayer oxidation zone, and predicts the sweet spot of the uranium ore enrichment area according to the prospecting signs, including the following sub-steps: According to the spatial configuration relationship between extra-surface ore, mineralized layer and industrial ore and uranium reservoir, reduced geological body and interlayer oxidation zone, the mineralization data are statistically analyzed, and according to the uranium grade, they are divided into three types of uranium mineralization: industrial ore, mineralized layer and extra-surface ore. Define the parameter classification intervals of sand body thickness, sand content, dark mudstone thickness, mud conglomerate thickness, oxidized sand body thickness and oxidized sand body ratio. For each parameter interval, count the number of industrial ore holes, mineralized layer holes and extra-surface ore holes respectively. The mineralization probability is calculated based on the ratio of the number of industrial ore holes, mineralized layer holes, and extra-surface ore holes to the total number of holes corresponding to each parameter interval; The mineralization probability of each parameter interval was imported into Origin software, and mineralization probability maps were drawn under the conditions of sand body thickness, sand content, dark mudstone thickness, mud conglomerate thickness, oxidized sand body thickness and oxidized sand body ratio. In the plane drawing software, the uranium reservoir sand content contour lines, the dark fine-grained sediment thickness contour lines and the retained sediment thickness contour lines in the reduced geological body, the boundary lines between the oxidation zone and the transition zone in the interlayer oxidation zone, and the boundary lines between the transition zone and the reduction zone will be superimposed on the uranium reservoir thickness map, and marked with color and thickness to track the prospecting signs of rich ore bodies, determine the delineation standards of different target areas, and complete the sweet spot prediction of uranium-rich areas.

[0016] The method for predicting sweet spots in sandstone-type uranium ore enrichment areas of the present invention has the following beneficial effects compared with the prior art: (1) Through the key mineralization-controlling factors of uranium reservoirs, reduced geological bodies and interlayer oxidation zones, the spatial distribution characteristics of mineralized layers and rich ore bodies were characterized, the spatial configuration relationship between the uranium mineralization classification system and uranium reservoirs, reduced geological bodies and interlayer oxidation zones was quantified, and the formation and enrichment laws of uranium minerals were analyzed. Through mineralization probability modeling and spatial marker tracking, it was revealed that the formation of industrial mines requires a specific combination of geological parameters, and a target area delineation standard system was established. The accurate prediction from mineralized enrichment areas to high-value sweet spot target areas was achieved, which improved the accuracy and efficiency of uranium exploration; (2) Through multi-parameter spatial coupling analysis, a quantitative configuration relationship between the uranium mineralization classification system and geological elements is constructed to determine the spatial relationship between different mineralization types and geological elements, improve the accuracy of ore body positioning, optimize exploration targets, quantify mineralization control factors and reduce drilling workload. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 is a flow chart of the present invention; Figure 2 Middle (a) is the spatial distribution map of uranium reservoirs in the southern part of the Songliao Basin; Figure 2 Middle (b) is the spatial distribution map of the reduced geological bodies in the southern part of the Songliao Basin; Figure 2 Middle (c) is the spatial distribution map of the interlayer oxidation zone in the southern part of the Songliao Basin; Figure 3 (a) in the middle is the spatial distribution map of off-balance sheet minerals in the southern part of the Songliao Basin. Figure 3 Middle (b) is the spatial distribution map of mineralized layers in the southern part of the Songliao Basin. Figure 3 Middle (c) is the spatial distribution map of industrial mines in the southern part of the Songliao Basin; Figure 4Middle (a) is the overlay of the spatial distribution of uranium reservoirs and the spatial distribution of extra-surface minerals in the southern part of the Songliao Basin; Figure 4 Middle (b) is the overlay of the spatial distribution of reduced geological bodies and the spatial distribution of extra-surface minerals in the southern part of the Songliao Basin; Figure 4 Middle (c) is the overlay of the spatial distribution of interlayer oxidation zones and extra-surface minerals in the southern Songliao Basin; Figure 5 Middle (a) is an overlay of the spatial distribution of uranium reservoirs and mineralized layers in the southern part of the Songliao Basin; Figure 5 Middle (b) is an overlay of the spatial distribution of reduced geological bodies and mineralized layers in the southern part of the Songliao Basin; Figure 5 Middle (c) is the overlay of the spatial distribution of interlayer oxidation zones and mineralized layers in the southern part of the Songliao Basin; Figure 6 Middle (a) is the overlay of the spatial distribution of uranium reservoirs and industrial mines in the southern part of the Songliao Basin; Figure 6 Middle (b) is the overlay of the spatial distribution of reduced geological bodies and industrial mines in the southern part of the Songliao Basin; Figure 6 Middle (c) is the overlay of the spatial distribution of interlayer oxidation zones and industrial mines in the southern part of the Songliao Basin; Figure 7 The present invention is a probability map of the sand content and mineralization rate of the extra-surface ore, mineralized layer and industrial mine in the southern area of ​​Songliao Basin; Figure 8 The present invention is a probability map of the thickness and mineralization rate of dark mudstone in the extra-surface ore, mineralized layer and industrial mine in the southern area of ​​Songliao Basin; Figure 9 The present invention is a probability diagram of the ratio of oxidized sand bodies and mineralization rate in the extra-surface ore, mineralized layer and industrial ore in the southern area of ​​Songliao Basin; Figure 10 This is the industrial mine space prediction map of the southern Songliao Basin in the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] like Figure 1As shown, a method for predicting sweet spots in sandstone-type uranium-enriched areas of the present invention characterizes the spatial distribution characteristics of mineralized layers and rich ore bodies through key ore-controlling factors such as uranium reservoirs, reduced geological bodies and interlayer oxidation zones, analyzes the formation and enrichment laws of uranium minerals, and then predicts rich ore bodies based on the prediction of the spatial distribution of uranium mineralization bodies, thereby improving the accuracy and efficiency of uranium mine exploration; and illustrates this with the lake extension system domain of the Yaojia Formation in the southern part of the Songliao Basin as an example.

[0021] The method in this embodiment includes the following steps: S1, obtain field core logging and drilling information to establish the stratigraphic framework of uranium-bearing rock series; In step S1 of this embodiment, based on field core logging, sand bodies of different colors are distinguished by lithology and geological bodies are restored. The drilling data includes logging, well logging, seismic and paleontological data. The stratigraphic interfaces and marker layers of the study area are established based on the drilling data, the stratigraphic units of the study area are compared and divided, and the stratigraphic framework of the uranium-bearing rock series is established.

[0022] It should be noted that core observation can identify basic rocks, distinguish sand body types and reduced geological bodies, provide basic data for stratigraphic division, observe core color, mineral composition, structure and alteration phenomena, and distinguish sand bodies of different colors. The color of sand bodies is often related to their composition, sedimentary environment and later transformation. Sand bodies of different colors represent different sedimentary stages or sedimentary environments, and have different control effects on uranium mineralization. Red / brown sand bodies indicate oxidizing environments, and gray / gray-green sand bodies indicate reducing environments. Sand body particle size can be measured by screening or laser particle size analyzer to distinguish high-energy from low-energy sedimentary environments. In addition, reduced geological bodies are one of the important factors in the uranium mineralization process. Geologists identify reduced geological bodies through core logging, including geochemical and lithologic signs. Geochemical signs include high organic matter content, sulfide enrichment and reduced element anomalies, and lithologic signs include dark mudstone, carbonaceous shale or organic siltstone.

[0023] In addition, logging data are obtained from each borehole, such as vertical changes in lithology in the borehole, natural gamma logging, resistivity logging, natural potential logging, etc. The logging data can reflect the physical properties of the strata, such as porosity, permeability, water content, etc., which play an important auxiliary role in stratigraphic division and identification of uranium-bearing rock series; seismic data are used to identify regional unconformities based on seismic reflection interfaces and to divide sedimentary system domains through seismic phase analysis; paleontological data are collected in the study area, which can reflect the age and sedimentary environment of the strata; the collected lithology catalog and single well data are entered into the Resform software to establish a research work area.

[0024] An isochronous stratigraphic framework was constructed to clarify the vertical distribution of uranium-bearing rock series and establish the sequence stratigraphic interfaces and marker beds in the study area. Sequence stratigraphic interfaces are an important basis for stratigraphic division, while marker beds are stratigraphic units with specific lithology, lithofacies or paleontological characteristics, which are easy to identify and track. On the basis of establishing sequence stratigraphic interfaces and marker beds, the strata in the study area were divided. The logging lithologic histograms were used to perform lithologic comparisons horizontally through the thickness, color and sedimentary sequence of sand bodies. The gamma-ray curve morphology was used to match adjacent borehole strata for logging curve comparison. The fossil assemblage was used to define the stratigraphic age for paleontological constraints. The drilling, logging and seismic data were integrated to construct a three-dimensional stratigraphic model. With the sequence interface as the framework, the system domain was divided to clarify the spatial distribution of the uranium-bearing rock series. Through the establishment of the stratigraphic framework, the spatial distribution pattern of the uranium-bearing rock series can be clearly demonstrated, providing a basis for the subsequent spatial positioning prediction of uranium-rich ore bodies.

[0025] Specifically, this example divides the Yaojia Formation into the highstand system tract HST, the lacustrine extended system tract EST, and the lowstand system tract LST. The highstand system tract HST and the lacustrine extended system tract EST are divided into SQK2y-HST (Pss1), SQK2y-HST (Pss2) and SQK2y-EST (Pss1), SQK2y-EST (Pss2).

[0026] like Figure 2 and Figure 3 As shown in S2, based on the stratigraphic framework of the uranium-bearing rock series, the uranium reservoir, redox layer and mineralization data of each drill hole location are obtained and imported into the geological mapping software to generate the spatial distribution map of uranium reservoir, reduction geological body, interlayer oxidation zone, extra-surface ore, mineralized layer and industrial mine.

[0027] In step S2 of this embodiment, uranium reservoir, redox layer, and mineralization data are obtained at each drilling location based on the uranium-bearing rock series stratigraphic framework. The uranium reservoir data at each drilling location include sand body thickness and sand content, the redox layer data include oxidized sand body thickness, oxidized sand body ratio, and reduced geological body thickness, and the mineralization data include uranium mineralization thickness, industrial ore, mineralized layer, and extra-surface ore thickness. Step S2 includes dividing uranium mineralization of different enrichment levels into industrial ore, mineralized layer and extra-surface ore; industrial ore is defined as rich ore body, and the classification range is uranium grade U≥0.05%; the classification range of mineralized layer is uranium grade 0.01%≤U<0.05%; the classification range of extra-surface ore is uranium grade U<0.01%.

[0028] In this embodiment, step S2 includes the following sub-steps: S21, importing the sand body thickness, sand content, oxidized sand body thickness, oxidized sand body ratio, reduced geological body thickness, uranium mineralization thickness, industrial ore, mineralized layer and off-surface ore thickness corresponding to each drill hole location into geographic three-dimensional drawing software for projection, and using a spatial interpolation algorithm to interpolate the geological data to generate a corresponding contour map; S22, importing the data of sand body thickness, sand content, oxidized sand body thickness, oxidized sand body ratio, reduced geological body thickness, uranium mineralization thickness, industrial ore, mineralized layer and extra-surface ore thickness corresponding to each drilling location and the corresponding contour map into a plane drawing software, and generating spatial distribution maps of uranium reservoir, reduced geological body, extra-surface ore, mineralized layer and industrial ore respectively; S23, calculating the percentage of the oxidized sand body according to the thickness of the oxidized sand body, and dividing and color-coding different value ranges of the oxidized sand body percentage using plane drawing software to obtain a spatial distribution map of the interlayer oxidation zone.

[0029] The calculation expression for the percentage of oxidized sand body in this embodiment is: Y L =Y c / G, where Y L is the percentage of oxidized sand body, Y c is the thickness of the oxidized sand body, G is the total thickness of the sand body; The interlayer oxidation zone is divided into an oxidation zone, a transition zone and a reduction zone, wherein the percentage of oxidized sand bodies in the oxidation zone is 80%< Y L ; The percentage of oxidized sand in the transition zone is 0%≤ Y L ≤80%; the percentage of oxidized sand bodies in the reduction zone is Y L = 0%.

[0030] It should be noted that the data of target layer drilling positions, uranium reservoirs, reduced geological bodies, interlayer oxidation zones, extra-surface minerals, mineralized layers and industrial mines in the study area were imported into the Surfer software, and the geological data were interpolated using the Kriging interpolation method to generate grid data; the network data were imported into the Sufer software, and the contour lines of uranium reservoirs, reduced geological bodies, interlayer oxidation zones, extra-surface minerals, mineralized layers and industrial mines were generated respectively, and the colors were filled and the line distances were adjusted; the data and coordinates were projected into the CorelDRAW work area, and a drawing frame was made; according to the projected data, the contour lines were circled on the plane, the line width was adjusted, and the legend was filled in for the areas between the contour lines. Finally, the legend scale was placed in the appropriate position and the picture was exported; the spatial distribution maps of uranium reservoirs, reduced geological bodies, interlayer oxidation zones, extra-surface minerals, mineralized layers and industrial mines were drawn respectively.

[0031] In this example, the Kriging interpolation method was used to perform three-dimensional spatial interpolation of uranium reservoir parameters and mineralization data, effectively compensating for the lack of drilling data. The generated high-precision contour map revealed the spatial variation patterns of parameters such as the percentage of oxidized sand bodies. By linking Surfer with CorelDRAW software, the three-dimensional geological model was projected into a plane map, realizing the coupled display of uranium reservoir-reduced geological body-interlayer oxidation zone-mineralization classification.

[0032] like Figure 4 、 Figure 5 and Figure 6 As shown in S3, the spatial distribution maps of extra-surface ores, mineralized layers and industrial mines are superimposed on the spatial distribution maps of uranium reservoirs, reduced geological bodies and interlayer oxidation zones, respectively, to establish the spatial configuration relationships between extra-surface ores, mineralized layers and industrial mines and uranium reservoirs, reduced geological bodies and interlayer oxidation zones, respectively.

[0033] Step S3 includes: superimposing the spatial distribution map of the extra-surface ore with the spatial distribution maps of the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, respectively, to establish a spatial configuration relationship between the extra-surface ore and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, wherein the spatial configuration relationship is the relative position and distribution characteristics of the extra-surface ore and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone on the plane, as well as the existing correlation relationship; The delineation criteria are: the thickness of the sand body with favorable extra-surface mineralization is 25-35m, the sand content is 60%-90%, the thickness of the dark mudstone is 0-10m, the thickness of the muddy conglomerate is 0-4m, the thickness of the oxidized sand body is 0-20m, and the oxidized sand body ratio is 0-40%.

[0034] Step S3 includes: superimposing the spatial distribution map of the mineralized layer with the spatial distribution maps of the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, respectively, to establish a spatial configuration relationship between the mineralized layer, the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, wherein the spatial configuration relationship is the relative position and distribution characteristics of the mineralized layer, the uranium reservoir, the reduced geological body, and the interlayer oxidation zone on the plane, as well as the existing correlation relationship; The delineation criteria are: the thickness of the sand body of the favorable mineralized layer is 25-35m, the sand content is 60%-90%, the thickness of the dark mudstone is 0-10m, the thickness of the mud conglomerate is 0-4m, the thickness of the oxidized sand body is 0-20m, and the oxidized sand body ratio is 0-40%.

[0035] Step S3 includes: superimposing the spatial distribution map of the industrial mine with the spatial distribution maps of the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, respectively, to establish a spatial configuration relationship between the industrial mine and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, wherein the spatial configuration relationship is the relative position and distribution characteristics of the industrial mine and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone on the plane, as well as the existing correlation relationship; The delineation criteria are: the thickness of the sand body for favorable industrial mines is 30-35m, the sand content is 80%-90%, the thickness of dark mudstone is 0-5m, the thickness of muddy conglomerate is 0-2m, the thickness of oxidized sand body is 0-5m, and the oxidized sand body ratio is 0-20%.

[0036] It should be noted that the off-balance sheet mineral plan distribution map is copied to new layers in the CorelDRAW files of the uranium reservoir, reduced geological body and interlayer oxidation zone respectively, and the position is adjusted to ensure that each layer is correctly aligned. The layers are manually aligned with the alignment tool, and the transparency of the uranium mineralization layer is modulated to an appropriate value to ensure that it does not block the key features of other layers. The operations for the mineralized layer and industrial mine are the same as those for the off-balance sheet mineral plan distribution map.

[0037] Through multi-parameter spatial coupling analysis, a quantitative configuration relationship between the uranium mineralization classification system and geological elements was constructed, which enabled the spatial relationship between different mineralization types and geological elements to be determined, thereby improving the accuracy of ore body positioning, optimizing exploration targets, quantifying mineralization control factors, improving the accuracy of resource estimation, and reducing drilling workload.

[0038] like Figure 7-10 As shown in S4, the prospecting signs of rich ore bodies are tracked according to the spatial configuration relationship between extra-surface ores, mineralized layers and industrial ores and uranium reservoirs, reduced geological bodies and interlayer oxidation zones, and the sweet spots in uranium-rich areas are predicted based on the prospecting signs.

[0039] In this embodiment, step S4 includes the following sub-steps: According to the spatial configuration relationship between extra-surface ore, mineralized layer and industrial ore and uranium reservoir, reduced geological body and interlayer oxidation zone, the mineralization data are statistically analyzed, and according to the uranium grade, they are divided into three types of uranium mineralization: industrial ore, mineralized layer and extra-surface ore. Define the parameter classification intervals of sand body thickness, sand content, dark mudstone thickness, mud conglomerate thickness, oxidized sand body thickness and oxidized sand body ratio. For each parameter interval, count the number of industrial ore holes, mineralized layer holes and extra-surface ore holes respectively. The mineralization probability is calculated based on the ratio of the number of industrial ore holes, mineralized layer holes, and extra-surface ore holes to the total number of holes corresponding to each parameter interval; The mineralization probability of each parameter interval was imported into Origin software, and mineralization probability maps were drawn under the conditions of sand body thickness, sand content, dark mudstone thickness, mud conglomerate thickness, oxidized sand body thickness and oxidized sand body ratio. In the plane drawing software, the uranium reservoir sand content contour lines, the dark fine-grained sediment thickness contour lines and the retained sediment thickness contour lines in the reduced geological body, the boundary lines between the oxidation zone and the transition zone in the interlayer oxidation zone, and the boundary lines between the transition zone and the reduction zone will be superimposed on the uranium reservoir thickness map, and marked with color and thickness to track the prospecting signs of rich ore bodies, determine the delineation standards of different target areas, and complete the sweet spot prediction of uranium-rich areas.

[0040] It should be noted that, based on the spatial prediction of uranium mineralization, the specific spatial aggregation between mineralized layers, industrial mines and uranium reservoirs is analyzed; the interaction between them and reduced geological bodies; the distribution pattern of interlayer oxidation zones, the statistical mineralization probability of different ore bodies under different ore-controlling factors, the extraction of key factors controlling the formation of rich ores, the determination of different target area delineation standards, and the analysis of different target area delineation standards show that the formation of industrial mines has narrower and more stringent requirements on the value range of favorable uranium reservoirs, reducing media, and interlayer oxidation zones than mineralized layers and extra-surface mines, indicating that they are the key factors restricting the differentiated enrichment of uranium and are also important indicators for finding sweet spots in uranium-enriched areas.

[0041] Through multi-parameter mineralization probability modeling and spatial landmark tracking, accurate prediction of uranium-enriched areas was achieved: based on the hierarchical statistics and mineralization probability calculation of key parameters such as sand body thickness and sand content, it was clarified that the formation of industrial mines requires a uranium reservoir thickness of 30-35m, a sand content of 80%-90%, a dark mudstone thickness of 0-5m, a muddy conglomerate thickness of 0-2m, an oxidized sand body thickness of 0-5m, and an oxidized sand body ratio of 0-20%. The differences in the value ranges of ore-controlling factors between it and extra-surface ores and mineralized layers were revealed, and the mechanism of differentiated uranium enrichment was quantitatively analyzed. By superimposing and analyzing geological landmarks such as sand content contour lines and oxidation-reduction boundaries, a target area delineation standard system was established to improve the accuracy and efficiency of ore body exploration.

[0042] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for predicting sweet spots in sandstone-type uranium-enriched areas, characterized in that: The following steps are involved: S1, obtain field core logging and drilling information to establish the stratigraphic framework of uranium-bearing rock series; S2, based on the stratigraphic framework of the uranium-bearing rock series, obtain the uranium reservoir, redox layer and mineralization data of each drill hole location, and import them into geological mapping software to generate the spatial distribution map of uranium reservoir, redox geological body, interlayer oxidation zone, extra-surface ore, mineralized layer and industrial ore; S3, superimposing the spatial distribution maps of extra-surface ores, mineralized layers and industrial ores with the spatial distribution maps of uranium reservoirs, reduced geological bodies and interlayer oxidation zones, respectively, to establish the spatial configuration relationships of extra-surface ores, mineralized layers and industrial ores with uranium reservoirs, reduced geological bodies and interlayer oxidation zones; S4, track the prospecting signs of rich ore bodies based on the spatial configuration relationship between extra-surface ores, mineralized layers and industrial mines and uranium reservoirs, reduced geological bodies and interlayer oxidation zones, and predict sweet spots in uranium-rich areas based on the prospecting signs.

2. The method for predicting sweet spots in sandstone-type uranium-enriched areas according to claim 1, wherein: In step S1, field core logging and drilling information are obtained to establish a stratigraphic framework for the uranium-bearing rock series, including distinguishing sand bodies of different colors by lithology and restoring geological bodies based on field core logging. The drilling data include logging, well logging, seismic and paleontological data. The stratigraphic interfaces and marker layers of the study area are established based on the drilling data, the stratigraphic units of the study area are compared and divided, and the stratigraphic framework of the uranium-bearing rock series is established.

3. The method for predicting sweet spots in sandstone-type uranium ore enrichment areas according to claim 2, wherein: Step S2 obtains the uranium reservoir, redox layer and mineralization data of each drilling position according to the uranium-bearing rock series stratigraphic framework, wherein the uranium reservoir data of each drilling position includes sand body thickness and sand content, the redox layer data includes oxidized sand body thickness, oxidized sand body ratio and reduced geological body thickness, and the mineralization data includes uranium mineralization thickness, industrial ore, mineralized layer and extra-surface ore thickness.

4. The method for predicting sweet spots in sandstone-type uranium ore enrichment areas according to claim 3, wherein: Step S2 includes dividing uranium mineralization of different enrichment levels into industrial ore, mineralized layer and extra-surface ore; industrial ore is defined as rich ore body, and the classification range is uranium grade U≥0.05%; the classification range of mineralized layer is uranium grade 0.01%≤U<0.05%; the classification range of extra-surface ore is uranium grade U<0.01%.

5. The method for predicting sweet spots in sandstone-type uranium-enriched areas according to claim 4, wherein: Step S2 is imported into geological mapping software to generate a spatial distribution map of uranium reservoirs, reduced geological bodies, interlayer oxidation zones, extra-surface minerals, mineralized layers, and industrial minerals, including the following sub-steps: S21, importing the sand body thickness, sand content, oxidized sand body thickness, oxidized sand body ratio, reduced geological body thickness, uranium mineralization thickness, industrial ore, mineralized layer and off-surface ore thickness corresponding to each drill hole location into geographic three-dimensional drawing software for projection, and using a spatial interpolation algorithm to interpolate the geological data to generate a corresponding contour map; S22, importing the data of sand body thickness, sand content, oxidized sand body thickness, oxidized sand body ratio, reduced geological body thickness, uranium mineralization thickness, industrial ore, mineralized layer and extra-surface ore thickness corresponding to each drilling location and the corresponding contour map into a plane drawing software, and generating spatial distribution maps of uranium reservoir, reduced geological body, extra-surface ore, mineralized layer and industrial ore respectively; S23, calculating the percentage of the oxidized sand body according to the thickness of the oxidized sand body, and dividing and color-coding different value ranges of the oxidized sand body percentage using plane drawing software to obtain a spatial distribution map of the interlayer oxidation zone.

6. The method for predicting sweet spots in sandstone-type uranium ore enrichment areas according to claim 5, wherein: The calculation expression of the percentage of oxidized sand body is: Y L =Y c / G, where Y L is the percentage of oxidized sand body, Y c is the thickness of the oxidized sand body, G is the total thickness of the sand body; The interlayer oxidation zone is divided into an oxidation zone, a transition zone and a reduction zone, wherein the percentage of oxidized sand bodies in the oxidation zone is 80%< Y L ; The percentage of oxidized sand in the transition zone is 0%≤ Y L ≤80%; the percentage of oxidized sand bodies in the reduction zone is Y L = 0%.

7. The method for predicting sweet spots in sandstone-type uranium ore enrichment areas according to claim 6, wherein: Step S3 includes: superimposing the spatial distribution map of the extra-surface ore with the spatial distribution maps of the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, respectively, to establish a spatial configuration relationship between the extra-surface ore and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, wherein the spatial configuration relationship is the relative position and distribution characteristics of the extra-surface ore and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone on the plane, as well as the existing correlation relationship; The delineation criteria are: the thickness of the sand body with favorable extra-surface mineralization is 25-35m, the sand content is 60%-90%, the thickness of the dark mudstone is 0-10m, the thickness of the muddy conglomerate is 0-4m, the thickness of the oxidized sand body is 0-20m, and the oxidized sand body ratio is 0-40%.

8. The method for predicting sweet spots in sandstone-type uranium-enriched areas according to claim 7, wherein: Step S3 includes: superimposing the spatial distribution map of the mineralized layer with the spatial distribution maps of the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, respectively, to establish a spatial configuration relationship between the mineralized layer, the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, wherein the spatial configuration relationship is the relative position and distribution characteristics of the mineralized layer, the uranium reservoir, the reduced geological body, and the interlayer oxidation zone on the plane, as well as the existing correlation relationship; The delineation criteria are: the thickness of the sand body of the favorable mineralized layer is 25-35m, the sand content is 60%-90%, the thickness of the dark mudstone is 0-10m, the thickness of the mud conglomerate is 0-4m, the thickness of the oxidized sand body is 0-20m, and the oxidized sand body ratio is 0-40%.

9. The method for predicting sweet spots in sandstone-type uranium-enriched areas according to claim 8, wherein: Step S3 includes: superimposing the spatial distribution map of the industrial mine with the spatial distribution maps of the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, respectively, to establish a spatial configuration relationship between the industrial mine and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone, wherein the spatial configuration relationship is the relative position and distribution characteristics of the industrial mine and the uranium reservoir, the reduced geological body, and the interlayer oxidation zone on the plane, as well as the existing correlation relationship; The delineation criteria are: the thickness of the sand body for favorable industrial mines is 30-35m, the sand content is 80%-90%, the thickness of dark mudstone is 0-5m, the thickness of muddy conglomerate is 0-2m, the thickness of oxidized sand body is 0-5m, and the oxidized sand body ratio is 0-20%.

10. The method for predicting sweet spots in sandstone-type uranium ore enrichment areas according to claim 9, wherein: Step S4 is to track the prospecting signs of the rich ore body according to the spatial configuration relationship between the extra-surface ore, mineralized layer and industrial ore and uranium reservoir, reduction geological body and interlayer oxidation zone, and predict the sweet spot of uranium enrichment area according to the prospecting signs, including the following sub-steps: According to the spatial configuration relationship between extra-surface ore, mineralized layer and industrial ore and uranium reservoir, reduced geological body and interlayer oxidation zone, the mineralization data are statistically analyzed, and according to the uranium grade, they are divided into three types of uranium mineralization: industrial ore, mineralized layer and extra-surface ore. Define the parameter classification intervals of sand body thickness, sand content, dark mudstone thickness, mud conglomerate thickness, oxidized sand body thickness and oxidized sand body ratio. For each parameter interval, count the number of industrial ore holes, mineralized layer holes and extra-surface ore holes respectively. The mineralization probability is calculated based on the ratio of the number of industrial ore holes, mineralized layer holes, and extra-surface ore holes to the total number of holes corresponding to each parameter interval; The mineralization probability of each parameter interval was imported into Origin software, and mineralization probability maps were drawn under the conditions of sand body thickness, sand content, dark mudstone thickness, mud conglomerate thickness, oxidized sand body thickness and oxidized sand body ratio. In the plane drawing software, the uranium reservoir sand content contour lines, the dark fine-grained sediment thickness contour lines and the retained sediment thickness contour lines in the reduced geological body, the boundary lines between the oxidation zone and the transition zone in the interlayer oxidation zone, and the boundary lines between the transition zone and the reduction zone will be superimposed on the uranium reservoir thickness map, and marked with color and thickness to track the prospecting signs of rich ore bodies, determine the delineation standards of different target areas, and complete the sweet spot prediction of uranium-rich areas.

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