Spatial positioning method for rich ore body of sandstone type uranium ore invaded by basic rock

Abstract

The invention provides a basic rock intruded sandstone type uranium ore rich ore body space positioning method, which comprises the following steps of: obtaining field core catalog and drilling data, and establishing a uranium-bearing rock series stratigraphic framework; data statistics is conducted on different ore control factors, the ore control factors comprise the reduced geologic body thickness, the uranium reservoir thickness, the basic rock thickness, the oxidized sandstone thickness, the uranium mineralization thickness and the rich ore body thickness, and a uranium reservoir thickness map and a reduced geologic body, interlayer oxidation zone, uranium mineralization, basic rock and rich ore body distribution map are drawn respectively; representing the spatial configuration relationship between uranium mineralization and uranium reservoir, reduced geologic body and interlayer oxidation zone, and predicting uranium mineralization spatial distribution; according to the method, through coupling basic rock distribution, uranium reservoir, reduction geologic body and interlayer oxidation zone multi-ore-control factors, in combination with spatial configuration relation and genetic mechanism analysis, rich ore body distribution is searched in a basic rock hydrothermal fluid activity range, and the uranium ore rich ore body exploration accuracy and efficiency are improved.

Description

Technical Field

[0001] This invention relates to the field of uranium exploration technology, and in particular to a method for spatially locating rich ore bodies in sandstone-type uranium deposits intruded by basic rocks. Background Technology

[0002] Sandstone-type uranium deposits are characterized by shallow burial, large reserves, and low mining costs, and have become the most important type of uranium deposit in the world. In some typical uranium-producing basins at home and abroad, the phenomenon of late-stage basic rocks intruding into uranium-bearing rock systems has been found near sandstone-type uranium deposits.

[0003] Publication number CN111090709A discloses a big data geological analysis method for predicting the mineralization of sandstone-type uranium deposits, which includes the following steps: collecting data and preprocessing it to form a database; establishing a sandstone-type uranium deposit prospecting model; conducting technical analysis and extracting effective information from the main ore-controlling factors and prospecting indicators of the area to be searched for sandstone-type uranium deposits; and making sandstone uranium deposit predictions.

[0004] Currently, after the formation of sandstone-type uranium deposits, if they are subjected to superimposed hydrothermal alteration by basic rocks, uranium will usually migrate and enrich again, causing the original uranium ore body to be repositioned. This phenomenon of uranium ore body repositioning due to uranium migration and enrichment will affect the accuracy of the traditional interlayer oxidation zone in predicting the location of uranium ore bodies, thereby reducing prospecting efficiency. Summary of the Invention

[0005] In view of this, the present invention proposes a spatial location method for rich uranium ore bodies in sandstone-type uranium deposits intruded by basic rocks. By using the distribution of basic rocks as an indicator for finding rich ore bodies, and combining uranium reservoirs, reducing geological bodies, and redox zones, the spatial distribution of uranium mineralization bodies is predicted. Based on the spatial prediction of mineralization bodies, the distribution of rich ore bodies is found within the range of hydrothermal fluid activity of basic rocks, thereby improving the accuracy and efficiency of uranium rich ore body exploration.

[0006] The technical solution of this invention is implemented as follows: This invention provides a method for spatially locating rich ore bodies in sandstone-type uranium deposits intruded by basic rocks, comprising the following steps:

[0007] S1, obtain field core logging and borehole data, and establish a stratigraphic framework for uranium-bearing rock series;

[0008] S2. Based on the stratigraphic framework of uranium-bearing rocks, data statistics were performed on different ore-controlling factors, including the thickness of reducing geological bodies, uranium reservoir thickness, basic rock thickness, oxidized sandstone thickness, uranium mineralization thickness, and rich ore body thickness. Uranium reservoir thickness map and distribution maps of reducing geological bodies, interlayer oxidation zones, uranium mineralization, basic rocks, and rich ore bodies were drawn respectively.

[0009] S3. Based on the uranium reservoir thickness map and the distribution maps of reduced geological bodies, interlayer oxidation zones and uranium mineralization, characterize the spatial configuration relationship between uranium mineralization and uranium reservoirs, reduced geological bodies and interlayer oxidation zones, and predict the spatial distribution of uranium mineralization.

[0010] S4. Based on the distribution map of basic rocks and rich ore bodies, the spatial configuration relationship between basic rocks and rich ore bodies is characterized. Mineral microstructure analysis and geochemical trace element analysis are used to determine the relationship between uranium mineral formation and enrichment and hydrothermal fluid intrusion of basic rocks.

[0011] S5. Based on the spatial configuration relationship between basic rocks and rich ore bodies and the relationship between the formation and enrichment of uranium minerals and the intrusion of hydrothermal fluids into basic rocks, the genetic relationship between basic rocks and rich ore bodies was obtained by using mineral microstructure analysis and geochemical trace element analysis.

[0012] S6. Based on the spatial prediction of uranium mineralization and combined with the genetic relationship between basic rocks and rich ore bodies, the spatial distribution of the development locations of basic rocks and rich ore bodies in the study area was obtained, and the spatial distribution of rich ore bodies was predicted.

[0013] Based on the above technical solutions, preferably, step S1, which involves obtaining field core logging and borehole data to establish a stratigraphic framework for uranium-bearing rock series, includes: identifying and distinguishing sand bodies of different colors and reducing geological bodies based on the characteristics of basic rocks through field core logging; collecting borehole data in the study area, including well logging, well logging, seismic, and paleontological data; and establishing sequence stratigraphic boundaries and marker beds in the study area based on the borehole data to establish a stratigraphic framework for uranium-bearing rock series.

[0014] Based on the above technical solutions, preferably, the data statistics of different ore-controlling factors based on the uranium-bearing rock strata framework described in step S2 include: the total thickness of the strata at the target stratum of each borehole, the thickness of dark fine-grained sediments and the thickness of retained sediments in the reduced geological body, the thickness of the uranium reservoir and its ratio to the strata, the thickness of the oxidized sandstone and its ratio to the sand body, the thickness of the basic rock, the thickness of the uranium mineralization and the thickness of the rich ore body.

[0015] Based on the above technical solution, preferably, step S2 further includes dividing uranium mineralization of different enrichment levels into industrial layers, mineralized layers, and off-surface mineralization during the statistical process; the industrial layer is defined as a rich ore body, and the division range is uranium grade U≥0.01% and uranium content ≥1kg / m². 2 The mineralized layer is defined as having a uranium grade U ≥ 0.01% and a uranium content < 1 kg / m². 2 The classification range for off-the-table minerals is defined as uranium grade 0.005% ≤ U < 0.01%.

[0016] Based on the above technical solutions, preferably, step S2 involves statistically analyzing data on different ore-controlling factors based on the stratigraphic framework of uranium-bearing rock series. These ore-controlling factors include the thickness of reducing geological bodies, uranium reservoir thickness, basic rock thickness, oxidized sandstone thickness, uranium mineralization thickness, and rich orebody thickness. A uranium reservoir thickness map and distribution maps of reducing geological bodies, interlayer oxidation zones, uranium mineralization, basic rocks, and rich orebodies are then drawn, including the following sub-steps:

[0017] S21. Based on the stratigraphic framework of uranium-bearing rock series, the data of different ore-controlling factors were statistically analyzed. The statistical results of different ore-controlling factors were imported into the geographic 3D painting software, and the locations of each borehole in the study area and the corresponding ore-controlling factor data, uranium mineralization thickness and rich ore body thickness were projected respectively.

[0018] S22. Using geographic 3D painting software, contour maps were generated for each data point of the ore-controlling factors, the thickness of uranium mineralization, and the thickness of rich ore bodies. The borehole locations, ore-controlling factor data, uranium mineralization thickness, rich ore body thickness, and the corresponding generated contour maps were then imported into the planar drawing software.

[0019] S23. Based on the planar drawing software, the ore-controlling factor data, uranium mineralization thickness and rich ore body thickness within the same value range are divided, delineated and connected, and different colors are assigned to the closed intervals of different value ranges.

[0020] S24. Based on the thickness of the oxidized sandstone, the percentage content of the oxidized sandstone body is calculated, and the different value ranges of the percentage content of the oxidized sandstone body are divided and marked with colors using a planar drawing tool to obtain the zoning map of the interlayer oxidation zone.

[0021] The formula for calculating the percentage content of oxidized sand is: Y L =Y c / G*100%, where Y L Y represents the percentage content of oxidized sand. c G represents the thickness of the oxidized sandstone, and G represents the total thickness of the sand body.

[0022] The interlayer oxidation zone is divided into an oxidation zone, a transition zone, and a reduction zone, wherein the oxidation zone contains 60% oxidized sand. <Y L The percentage of oxidized sand in the transition zone is 0% ≤ Y L ≤60%; the percentage of oxidized sand in the reduction zone is Y L =0%.

[0023] Based on the above technical solutions, preferably, step S3, which involves characterizing the spatial configuration relationship between uranium mineralization and uranium reservoirs, reducing geological bodies, and interlayer oxidation zones based on uranium reservoir thickness maps, reducing geological body distribution maps, interlayer oxidation zone zoning maps, and uranium mineralization distribution maps, and making spatial predictions of uranium mineralization, includes the following steps:

[0024] S31. Import the uranium reservoir thickness map, reduced geological body distribution map, interlayer oxidation zone zoning map, and uranium mineralization distribution map into a planar drawing software, and stack them in sequence according to the uranium reservoir thickness map, reduced geological body distribution map, interlayer oxidation zone zoning map, and uranium mineralization distribution map;

[0025] S32. Characterize the spatial configuration relationship between uranium mineralization, uranium reservoir, reduced geological body, and interlayer oxidation zone, including the relative positions, distribution characteristics, and correlation relationships of uranium mineralization, uranium reservoir, reduced geological body, and interlayer oxidation zone on the plane;

[0026] S33. Stack the uranium reservoir sand content rate line, dark fine-grained sediment thickness isoline, and retained sediment thickness isoline on the uranium reservoir thickness map respectively, and stack the boundaries between the oxidation zone and the transition zone and between the transition zone and the reduction zone in the interlayer oxidation zone on the uranium reservoir thickness map respectively;

[0027] S34. Mark the colors and thicknesses of the isolines of the ore-controlling factors corresponding to the uranium reservoir, reduced geological body, and interlayer oxidation zone on the stacked uranium reservoir thickness map, and comprehensively calculate the condition matching degree score according to different types of ore-controlling factors to predict the space of uranium ore enrichment areas;

[0028] The expression for the condition matching degree is:

[0029] Z = ∑C i W i ;

[0030] In the formula, C i is the evaluation score corresponding to the i-th type of ore-controlling factor, W i is the weight coefficient corresponding to the i-th type of ore-controlling factor, Z is the condition matching degree, and the types of ore-controlling factors include uranium reservoir thickness, sand content rate, reduced geological body thickness, and oxidation zone position;

[0031] S35. Preset a matching degree threshold, delineate uranium ore enrichment target areas where the condition matching degree is greater than the matching degree threshold, and classify them into three types of target areas according to the ore-forming potential;

[0032] Among them, the first-class target area is Z ≥ L1; the second-class target area is L2 ≤ Z < L1; the third-class target area is Z < L2; in the formula, both L1 and L2 are set condition matching degree delineation and determination scores, and L2 < L1.

[0033] On the basis of the above technical solutions, preferably, in step S4, according to the basic rock and rich ore body distribution maps, characterize the spatial configuration relationship between the basic rock and the rich ore body, and use microscopic observation and chemical trace analysis to determine the relationship between the formation and enrichment of uranium minerals and the intrusion of basic rock hydrothermal fluids, including the following sub-steps:

[0034] S41. Import the basic rock distribution map and rich ore body distribution map into a planar drawing software and stack them;

[0035] S42 characterizes the spatial configuration relationship between rich ore bodies and basic rocks, including the relative positions, distribution characteristics, and correlations of rich ore bodies and basic rocks in the plane;

[0036] S43, extending outward along the boundary of the basic rock mass, to obtain sand body samples at different spatial locations around the basic rock intrusion;

[0037] S44. Microscopic analysis of sand body samples was conducted using scanning electron microscopy to obtain the microscopic occurrence locations of uranium ore, pitchblende and uranium ore. The dissolution of ferrodolomite and dolomite and siderite was identified by observing altered minerals, which determined that the precipitation of uranium minerals was caused by the intrusion of hydrothermal fluids into the basic rocks.

[0038] S45. Using geochemical testing instruments to analyze trace elements in minerals, if uranium ore and uranium ore have similar rare earth element distribution patterns, and the rare earth element parameter points of both are in high salinity fluid regions and the temperature is below 350℃, then it can be concluded that uranium ore and uranium ore were formed in a low-temperature, high-salinity hydrothermal environment, and the intrusion of hydrothermal fluids into basic rocks caused the enrichment of uranium.

[0039] Based on the above technical solutions, preferably, step S5, which involves obtaining the genetic relationship between basic rocks and rich ore bodies by using mineral microstructure analysis and geochemical trace element analysis based on the spatial configuration relationship between basic rocks and rich ore bodies and the relationship between uranium mineral formation and enrichment and hydrothermal fluid intrusion of basic rocks, includes the following sub-steps:

[0040] S51. Import the distribution maps of basic rocks and rich ore bodies into the planar drawing software and overlay them.

[0041] S52 characterizes the spatial configuration relationship between rich ore bodies and basic rocks, including the relative positions, distribution characteristics, and correlations of rich ore bodies and basic rocks in the plane;

[0042] S53, through analysis of mineral microstructure and geochemical trace element analysis, determined the genetic relationship between the rich ore body and the basic rocks, and confirmed that hydrothermal activity related to the intrusion of the basic rocks participated in uranium mineralization, further enriching uranium and forming the rich ore body, thus obtaining the genetic relationship between the basic rocks and the rich ore body.

[0043] Based on the above technical solutions, preferably, in step S6, according to the spatial prediction of uranium mineralization and combined with the genetic relationship between basic rocks and rich ore bodies, the spatial distribution correlation of the development locations of basic rocks and rich ore bodies in the study area is obtained. This includes: based on the spatial prediction of uranium mineralization and combined with the genetic relationship between basic rocks and rich ore bodies, analyzing the spatial distribution correlation of the development locations of basic rocks and rich ore bodies in the study area, and obtaining that there may not necessarily be ore bodies near diabase, but industrial uranium ore bodies exist near basic rocks.

[0044] Based on the above technical solutions, preferably, step S6 involves spatial prediction of the distribution of rich ore bodies, including: according to the spatial prediction of uranium mineralization, the intrusion of basic rocks into uranium-bearing rock series and its vicinity causes further enrichment of the original ore bodies; using planar drawing software, the thickness contour lines of basic rocks are overlaid on the uranium mineralization spatial prediction map with a thickness of 0m; and the color and thickness of the contour lines are set; and the spatial prediction of the distribution of rich ore bodies is performed near the hydrothermal fluid activity range of the basic rocks.

[0045] The spatial location method for rich uranium ore bodies in sandstone-type uranium deposits intruded by basic rocks in this invention has the following advantages over existing technologies:

[0046] (1) By using the distribution of basic rocks as an indicator for finding rich minerals, and combining different ore-controlling factors such as uranium reservoirs, reducing geological bodies and redox zones, the spatial distribution of uranium mineralization bodies is predicted. Based on the spatial prediction of mineralization bodies, the spatial location of rich mineralization bodies is located within the range of hydrothermal fluid activity of basic rocks, which improves the accuracy and efficiency of uranium rich mineralization body exploration.

[0047] (2) By comprehensively analyzing the spatial configuration relationship between uranium reservoirs, reducing geological bodies, interlayer oxidation zones and uranium mineralization, and combining quantitative evaluation models, we can achieve accurate prediction of uranium enrichment areas and improve the exploration efficiency of sandstone-type uranium deposits.

[0048] (3) By verifying the spatial configuration relationship between the rich ore body and the basic rock through microscopic observation, geochemical testing and verification, the spatial consistency between the predicted target area and the actual ore body is improved, thereby increasing the accuracy and efficiency of uranium rich ore body exploration. Attached Figure Description

[0049] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 This is a flowchart of the method of the present invention;

[0051] Figure 2 This is a distribution map of different ore-controlling factors in the southern Songliao Basin region, as presented in this invention. Figure 2 Figure a shows the distribution of uranium ore layers and uranium mineralization in the southern Songliao Basin. Figure 2 Figure b shows the distribution of reduced geological bodies and uranium mineralization in the southern Songliao Basin. Figure 2 Figure c shows the distribution of interlayer oxidation zones and uranium mineralization in the southern Songliao Basin.

[0052] Figure 3This is a distribution map of the thickness of basic rocks and the thickness of industrial ore layers in the southern Songliao Basin, as presented in this invention. Figure 3 Figure a shows the thickness distribution of basic rocks in the southern Songliao Basin. Figure 3 Figure b shows the thickness distribution of industrial ore layers in the southern Songliao Basin.

[0053] Figure 4 This is a diagram showing the relationship between different ore-controlling factors and the spatial configuration of uranium mineralization in the southern Songliao Basin region, as presented in this invention. Figure 4 Figure a shows the spatial configuration of uranium ore layers and uranium mineralization in the southern Songliao Basin. Figure 4 Figure b shows the spatial configuration of reduced geological bodies and uranium mineralization in the southern Songliao Basin. Figure 4 Figure c shows the spatial configuration of interlayer oxidation zones and uranium mineralization in the southern Songliao Basin.

[0054] Figure 5 This is a line graph showing the relationship between different key ore-controlling factors and uranium mineralization probability in the southern Songliao Basin region, as presented in this invention. Figure 5 Figure a shows a line graph illustrating the relationship between uranium reservoir thickness and the probability of uranium mineralization. Figure 5 Figure b in the middle is a line graph showing the relationship between the thickness of dark mudstone and the probability of uranium mineralization. Figure 5 Figure c shows a line graph of the ratio of oxidized sand bodies and the probability of uranium mineralization.

[0055] Figure 6 This is a spatial prediction map of uranium mineralization in the southern Songliao Basin, as presented in this invention.

[0056] Figure 7 This is a diagram showing the relationship between the thickness of basic rocks and the spatial configuration of uranium mineralization in the southern Songliao Basin region, as presented in this invention.

[0057] Figure 8 This is a uranium mineral occurrence diagram of the Yaojia Formation in the southern Songliao Basin, according to the present invention.

[0058] Figure 9 This invention presents a comparison diagram of rare earth elements in gray sandstones of different grades near diabase and gray sandstones far from basic rocks in the southern Songliao Basin, and a rare earth element distribution curve of uranium minerals.

[0059] Figure 10 This is a spatial prediction map of rich ore bodies in the southern Songliao Basin, as presented in this invention. Detailed Implementation

[0060] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0061] like Figure 1 As shown, the present invention provides a method for spatially locating rich ore bodies in sandstone-type uranium deposits intruded by basic rocks, comprising the following steps:

[0062] This embodiment uses key ore-controlling factors such as uranium reservoirs, reducing geological bodies, and interlayer oxidation zones to characterize the spatial distribution characteristics of basic rocks and rich ore bodies. It analyzes the relationship between uranium mineral formation and enrichment and basic rock intrusion, summarizes the genetic connections between basic rocks and rich ore bodies, and predicts rich ore bodies based on the spatial distribution prediction of uranium mineralization, thereby improving the accuracy and efficiency of uranium rich ore body exploration. The example is the lacustrine extension systems tract of the Yaojia Formation in the southern Songliao Basin.

[0063] S1, obtain field core logging and borehole data, and establish a stratigraphic framework for uranium-bearing rock series.

[0064] Step S1 includes: based on field core logging, identifying and distinguishing sand bodies of different colors and reducing geological bodies by means of basic rock characteristics; collecting borehole data in the study area, including well logging, well logging, seismic and paleontological data; establishing sequence stratigraphic boundaries and marker beds in the study area based on the borehole data, and establishing a stratigraphic framework for uranium-bearing rock series.

[0065] It should be noted that core observation is used to identify basic rocks, distinguish sand body types, and differentiate reduced geological bodies, providing fundamental data for stratigraphic division. This involves observing core color, mineral composition, structure, and alteration phenomena; distinguishing sand bodies of different colors; the color of a sand body is often related to its composition, depositional environment, and subsequent alteration. Different colored sand bodies represent different depositional stages or environments, and their control over uranium mineralization also varies. Red / brown sand bodies indicate oxidizing environments, while gray / grayish-green sand bodies indicate reducing environments. Sand body grain size can be determined by sieving or laser particle size analyzer to differentiate between high-energy and low-energy depositional environments.

[0066] Furthermore, reducing geological bodies are one of the important factors in the uranium mineralization process. Geologists identify reducing geological bodies through core logging, including geochemical and lithological indicators. Geochemical indicators include high organic matter content, sulfide enrichment, and anomalies of reducing elements, while lithological indicators include dark mudstone, retained sediments, or organic-containing siltstone.

[0067] In addition, well logging data from each borehole is obtained, such as vertical lithological variations, natural gamma ray logging, resistivity logging, and spontaneous potential logging. Well logging data can reflect the physical properties of the formation, such as porosity, permeability, and water-bearing capacity, and play an important auxiliary role in stratigraphic division and identification of uranium-bearing rock series. Seismic data is used to identify regional unconformities based on seismic reflection interfaces and to divide sedimentary system tracts through seismic facies analysis. Paleontological data of the study area is collected, which can reflect the age of the strata and the sedimentary environment.

[0068] A time-sequential stratigraphic framework was constructed to clarify the vertical distribution of uranium-bearing strata and establish sequence stratigraphic boundaries and marker beds in the study area. Sequence stratigraphic boundaries are crucial for stratigraphic division, while marker beds are stratigraphic units with specific lithological, lithofacies, or paleontological characteristics, making them easy to identify and trace. Based on the establishment of sequence stratigraphic boundaries and marker beds, the strata in the study area were divided. Lithological correlation was conducted laterally using well logging lithology columnar sections, based on sand body thickness, color, and sedimentary sequences. Well logging curves were compared by matching gamma-ray curve morphology with adjacent borehole strata. Paleontological constraints were established by combining fossil assemblages to define stratigraphic ages. By integrating borehole, well logging, and seismic data, a three-dimensional stratigraphic model was constructed. Using sequence boundaries as a framework, the system tracts were delineated to clarify the spatial distribution of uranium-bearing strata. The establishment of this stratigraphic framework clearly demonstrates the spatial distribution patterns of uranium-bearing strata, providing a foundation for subsequent spatial location prediction of uranium-rich ore bodies.

[0069] S2. Based on the stratigraphic framework of uranium-bearing rocks, data statistics were performed on different ore-controlling factors, including the thickness of reduced geological bodies, uranium reservoir thickness, basic rock thickness, oxidized sandstone thickness, uranium mineralization thickness, and rich ore body thickness. Uranium reservoir thickness map and distribution maps of reduced geological bodies, interlayer oxidation zones, uranium mineralization, basic rocks, and rich ore bodies were drawn respectively.

[0070] In step S2, data statistics are performed on different ore-controlling factors based on the stratigraphic framework of uranium-bearing rock series. This includes the total thickness of the strata at the target strata of each borehole, the thickness of dark fine-grained sediments and retained sediments of reduced geological bodies, the thickness of uranium reservoirs and their ratio to strata, the thickness of oxidized sandstones and their ratio to sand bodies, the thickness of basic rocks, the thickness of uranium mineralization, and the thickness of rich ore bodies.

[0071] It should be noted that the total thickness of the strata at each borehole's target stratum is calculated to obtain the vertical extension of the entire uranium-bearing strata. The thicknesses of dark fine-grained sediments and retained sediments within the reduced geological bodies are separately calculated, serving as important indicators for assessing uranium mineralization potential. The thickness of uranium reservoirs is calculated, and their ratio to the total strata thickness is determined, reflecting the scale and intensity of uranium mineralization. The thickness of oxidized sandstone is calculated, and its ratio to the total strata thickness is determined, reflecting the spatial distribution of uranium mineralization. The thickness of basic rocks is calculated to assess their alteration effect on uranium mineralization; hydrothermal activity associated with basic rock intrusions often leads to further uranium enrichment, therefore, the thickness of basic rocks is an important basis for predicting the distribution of rich ore bodies. The total thickness of uranium mineralization and the thickness of rich ore bodies are separately calculated, reflecting the degree of uranium mineralization enrichment.

[0072] Step S2 also includes dividing uranium mineralization of different enrichment levels into industrial layers, mineralized layers, and off-surface mineralization during the statistical process; the industrial layer is defined as a rich ore body, and the classification range is uranium grade U≥0.01% and uranium content ≥1kg / m². 2 The mineralized layer is defined as having a uranium grade U ≥ 0.01% and a uranium content < 1 kg / m². 2 The classification range for off-the-table minerals is defined as uranium grade 0.005% ≤ U < 0.01%.

[0073] Step S2 includes the following sub-steps:

[0074] S21. Based on the stratigraphic framework of uranium-bearing rock series, the data of different ore-controlling factors were statistically analyzed. The statistical results of different ore-controlling factors were imported into the geographic 3D painting software, and the locations of each borehole in the study area and the corresponding ore-controlling factor data, uranium mineralization thickness and rich ore body thickness were projected respectively.

[0075] S22. Using geographic 3D painting software, contour maps were generated for each data point of the ore-controlling factors, the thickness of uranium mineralization, and the thickness of rich ore bodies. The borehole locations, ore-controlling factor data, uranium mineralization thickness, rich ore body thickness, and the corresponding generated contour maps were then imported into the planar drawing software.

[0076] S23. Based on the planar drawing software, the ore-controlling factor data, uranium mineralization thickness and rich ore body thickness within the same value range are divided, delineated and connected, and different colors are assigned to the closed intervals of different value ranges.

[0077] S24. Based on the thickness of the oxidized sandstone, the percentage content of the oxidized sandstone body is calculated, and the different value ranges of the percentage content of the oxidized sandstone body are divided and marked with colors using a planar drawing tool to obtain the zoning map of the interlayer oxidation zone.

[0078] The formula for calculating the percentage content of oxidized sand is: Y L =Y c / G*100%, where YL Y represents the percentage content of oxidized sand. c G represents the thickness of the oxidized sandstone, and G represents the total thickness of the sand body.

[0079] The interlayer oxidation zone is divided into an oxidation zone, a transition zone, and a reduction zone, wherein the oxidation zone contains 60% oxidized sand. <Y L The percentage of oxidized sand in the transition zone is 0% ≤ Y L ≤60%; the percentage of oxidized sand in the reduction zone is Y L =0%.

[0080] It should be noted that the statistical results were imported into a 3D geographic mapping software, borehole coordinates were loaded, and the ore-controlling parameters, uranium mineralization, and rich ore body thickness of each borehole were labeled. The borehole attribute table was then linked to ensure a one-to-one correspondence between data and spatial location. The gridding function of the 3D geographic mapping software was used to generate contour maps of parameters such as uranium reservoir thickness and basic rock thickness using Kriging interpolation. These contour maps and borehole location data were exported to a planar mapping software, where intervals were divided according to the range of ore-controlling parameters, and different intervals were assigned gradient colors. Closed intervals of contour lines were manually connected in the planar mapping software and filled with corresponding colors. Based on the thickness of the oxidized sandstone, the percentage content of oxidized sand bodies was calculated, and the calculated percentage content was imported into the planar mapping software. Regions were divided according to zoning standards and filled with colors, and borehole location and uranium mineralization data were overlaid, with zoning boundaries marked. This process achieved spatial visualization of multiple ore-controlling factors, providing a quantitative basis for uranium mineralization prediction.

[0081] like Figure 2 and Figure 3 As shown, the division of the interlayer oxidation zone in the Yaojia Formation lacustrine extension systems tract is based on the percentage content of oxidized sand bodies calculated from the thickness of the oxidized sandstone. The interlayer oxidation zone is divided into oxidation zone, transition zone, and reduction zone. The oxidation zone is further divided into fully oxidized subzones and partially oxidized subzones. The percentage content of oxidized sand bodies in the fully oxidized subzone is Y. L =100%, the percentage content of oxidized sand bodies in the partial oxidation subzone is 60% ≤ Y L <100%, the percentage of oxidized sand in the transition zone is 0%≤Y L ≤60%; the percentage of oxidized sand in the reduction zone is Y L =0%, the criteria for delineating this interlayer oxidation zone are not entirely the same in different regions.

[0082] Based on the statistical results, this embodiment draws uranium reservoir thickness maps and distribution maps of reduced geological bodies, interlayer oxidation zones, uranium mineralization, basic rocks, and rich ore bodies. This can intuitively show the spatial distribution patterns of various ore-controlling factors, providing an important basis for subsequent spatial location prediction of uranium rich ore bodies.

[0083] S3, based on the uranium reservoir thickness map and the distribution maps of reduced geological bodies, interlayer oxidation zones and uranium mineralization, characterizes the spatial configuration relationship between uranium mineralization and uranium reservoirs, reduced geological bodies and interlayer oxidation zones, and predicts the spatial distribution of uranium mineralization.

[0084] like Figure 4-6 As shown, step S3 includes the following steps:

[0085] S31. Import the uranium reservoir thickness map, the distribution map of reduced geological bodies, the zoning map of interlayer oxidation zones, and the uranium mineralization distribution map into the planar drawing software, and overlay them in the order of uranium reservoir thickness map, distribution map of reduced geological bodies, zoning map of interlayer oxidation zones, and uranium mineralization distribution map.

[0086] S32 characterizes the spatial configuration relationship between uranium mineralization and uranium reservoirs, reducing geological bodies, and interlayer oxidation zones. This includes the relative positions, distribution characteristics, and correlations of uranium mineralization, uranium reservoirs, reducing geological bodies, and interlayer oxidation zones on the plane. Based on the contour lines drawn on CorelDRAW software for uranium reservoir thickness (dividing the uranium reservoir thickness from 0 to 100 into ten intervals), the number of uranium mineralization sites in each interval is counted. The mineralization probability of each interval is obtained by dividing the number of mineralized wells in each interval by the total number of mineralized wells and multiplying by 100. The statistical results are then presented as a line graph, which can be used to determine the favorable mineralization intervals.

[0087] S33, overlay the sand content line, dark fine-grained sediment thickness contour line and retained sediment thickness contour line on the uranium reservoir thickness map respectively, and overlay the boundary line between the oxidation zone and the transition zone in the interlayer oxidation zone, and the boundary line between the transition zone and the reduction zone on the uranium reservoir thickness map respectively.

[0088] S34. On the superimposed uranium reservoir thickness map, the contour lines corresponding to the ore-controlling factors of uranium reservoir, reduced geological body and interlayer oxidation zone are marked with color and thickness. Based on different types of ore-controlling factors, the condition fit score is calculated comprehensively to predict the space of uranium enrichment area.

[0089] The expression for conditional fit is:

[0090] Z=∑C i W i ;

[0091] In the formula, C i W represents the evaluation score corresponding to the i-th type of ore-controlling factor. i is the weighting coefficient corresponding to the i-th ore-controlling factor, and Z is the conditional fit. The types of ore-controlling factors include uranium reservoir thickness, sand content, thickness of reducing geological bodies, and location of oxidation zones.

[0092] S35. Set a preset matching degree threshold to delineate uranium ore enrichment target areas where the condition matching degree is greater than the matching degree threshold, and classify them into three types of target areas according to the ore-forming potential.

[0093] Among them, the first-level target area is Z≥L1; the second-level target area is L2≤Z<L1; the third-level target area is Z<L2; where L1 and L2 are both set condition matching degree delineation judgment scores, and L2<L1.

[0094] It should be noted that in the plane drawing software, create a new work area and import the following maps in sequence: uranium reservoir thickness map, reduced geological body distribution map, interlayer oxidation zone zoning map, and uranium mineralization distribution map. Adjust the layer transparency to ensure that the multi-factor superposition is visible; associate uranium mineralization with the uranium reservoir, and observe whether the industrial layer of uranium mineralization is concentrated in the high-permeability sand body area where the uranium reservoir thickness > 60m; associate uranium mineralization with the reduced geological body, analyze the superposition rate of uranium mineralization and the area where the thickness of dark fine-grained sediments > 5m, associate uranium mineralization with the interlayer oxidation zone, and uranium mineralization is concentrated at the junction of the oxidation zone and the transition zone; the superposition of ore-controlling factor isolines includes uranium reservoir sand content rate line, dark fine-grained sediment thickness isoline, retention sediment thickness isoline, oxidation zone boundary line and transition zone boundary line. Superimpose the above isolines on the uranium reservoir thickness map, and distinguish the ore-controlling factor types by color / line type. Among them, the evaluation score for a uranium reservoir thickness > 60m is 3 points, the evaluation score for a uranium reservoir thickness between 40m and 60m is 2 points, and the evaluation score for a uranium reservoir thickness less than 40m is 1 point; the evaluation score for a sand content rate ≥ 80% is 3 points, the evaluation score for a sand content rate between 60 - 80% is 2 points, and the evaluation score for a sand content rate less than 60% is 1 point; the evaluation score for a reduced geological body thickness ≥ 5m is 3 points, the evaluation score for a reduced geological body thickness between 3 - 5m is 2 points, and the evaluation score for a reduced geological body thickness less than 3m is 1 point; the evaluation score for the position of the oxidation zone in the transition zone is 3 points, the evaluation score for the position of the oxidation zone in the oxidation zone is 1 point, and the evaluation score for the position of the oxidation zone in the reduction zone is 0 points. In the plane drawing software, enclose the area according to the Z value range, fill in the corresponding color, superimpose the known ore points to verify the reliability of the target area, correct the boundary, predict the space of the uranium ore enrichment area, display the distribution of the third-level target area, and record the Z value, ore-controlling factor score and area of each target area.

[0095] In this embodiment, by comprehensively analyzing the spatial configuration relationship between the uranium reservoir, reduced geological body, interlayer oxidation zone and uranium mineralization, combined with the quantitative evaluation model, the accurate prediction of the uranium ore enrichment area is realized, and the exploration efficiency of sandstone-type uranium ore is improved.

[0096] S4. According to the basic rock and rich ore body distribution map, characterize the spatial configuration relationship between the basic rock and the rich ore body, and use mineral microscopic feature analysis and geochemical trace element analysis to determine the relationship between the formation and enrichment of uranium minerals and the intrusion of basic rock hydrothermal fluids.

[0097] [[ID= Figure 7 As shown, step S4 includes the following sub-steps:

[0098] S41. Import the distribution maps of basic rocks and rich ore bodies into the planar drawing software and overlay them.

[0099] S42 characterizes the spatial configuration relationship between rich ore bodies and basic rocks, including the relative positions, distribution characteristics, and correlations of rich ore bodies and basic rocks in the plane;

[0100] S43, extending outward along the boundary of the basic rock mass, to obtain sand body samples at different spatial locations around the basic rock intrusion;

[0101] S44. Microscopic analysis of sand body samples was conducted using scanning electron microscopy to obtain the microscopic occurrence locations of uranium ore, pitchblende and uranium ore. The dissolution of ferrodolomite and dolomite and siderite was identified by observing altered minerals, which determined that the precipitation of uranium minerals was caused by the intrusion of hydrothermal fluids into the basic rocks.

[0102] S45. Using geochemical testing instruments to analyze trace elements in minerals, if uranium ore and uranium ore have similar rare earth element distribution patterns, and the rare earth element parameter points of both are in high salinity fluid regions and the temperature is below 350℃, then it can be concluded that uranium ore and uranium ore were formed in a low-temperature, high-salinity hydrothermal environment, and the intrusion of hydrothermal fluids into basic rocks caused the enrichment of uranium.

[0103] It should be noted that by sampling sand bodies near basic rocks, preparing thin sections, and conducting microscopic analysis of minerals using scanning electron microscopy, the uranium minerals in the Qianjiadian uranium deposit mainly include uranium ore, pitchblende, and uraninite. The formation of uraninite indicates that hydrothermal activity caused the re-enrichment of uranium. Among them, uranium ore is encased by pitchblende, and pitchblende is encased by uranium ore. Therefore, the progression from uranium ore to pitchblende and then to uranium ore indicates that hydrothermal activity related to the intrusion of basic rocks caused the precipitation of uranium minerals, suggesting its participation in uranium mineralization. Microscopic observation also revealed hydrothermal alteration in the uranium reservoirs in contact with basic rocks, including pyrite veins, dolomite, scheelite, sphalerite, galena, chalcopyrite, and uranium ore. These minerals tend to decrease in number as the distance from the basic rock mass increases. Trace element analysis of the minerals using geochemical testing instruments showed that uranium ore and uranium ore have similar rare earth element distribution patterns. The rare earth element parameters of both are located in high salinity fluid regions at temperatures below 350°C, suggesting that uranium ore and uranium ore were formed in a low-temperature, high-salinity hydrothermal environment, and that hydrothermal activity related to the intrusion of basic rocks caused the enrichment of uranium.

[0104] Among them, the intrusion of basic rocks provides heat and fluids, and hydrothermal fluids infiltrate along fractures or sand bodies, precipitating uranium minerals in the redox transition zone, driving uranium activation and migration. It is found that rich ore bodies are concentrated within the range of influence of hydrothermal activity of basic rocks. This is verified by microscopic observation, geochemical testing and spatial configuration relationship between rich ore bodies and basic rocks, which improves the spatial consistency between the predicted target area and the actual ore body, and improves the accuracy and efficiency of uranium rich ore body exploration.

[0105] like Figure 8 and Figure 9 As shown in Figure S5, based on the spatial configuration relationship between basic rocks and rich ore bodies and the relationship between the formation and enrichment of uranium minerals and the hydrothermal fluid intrusion of basic rocks, the genetic relationship between basic rocks and rich ore bodies was obtained by using mineral microstructure analysis and geochemical trace element analysis.

[0106] Step S5 in this embodiment includes the following sub-steps:

[0107] S51. Import the distribution maps of basic rocks and rich ore bodies into the planar drawing software and overlay them.

[0108] S52 characterizes the spatial configuration relationship between rich ore bodies and basic rocks, including the relative positions, distribution characteristics, and correlations of rich ore bodies and basic rocks in the plane;

[0109] S53, through analysis of mineral microstructure and geochemical trace element analysis, determined the genetic relationship between the rich ore body and the basic rocks, and confirmed that hydrothermal activity related to the intrusion of the basic rocks participated in uranium mineralization, further enriching uranium and forming the rich ore body, thus obtaining the genetic relationship between the basic rocks and the rich ore body.

[0110] It should be noted that the distribution maps of basic rocks and rich ore bodies are imported into the planar drawing software. The distribution map of basic rocks annotates the planar distribution and thickness of the diabase intrusion; the distribution map of rich ore bodies shows the spatial location and thickness of the industrial uranium ore bodies. The relative positions of the rich ore bodies and basic rocks are analyzed, the distance between the center point of the rich ore body and the nearest basic rock body is calculated, a mineralization probability line graph is generated, and distribution patterns are identified. Among these, the rich ore bodies exhibit an arc-shaped distribution along the intrusion direction of the basic rocks, and the intersections or bifurcations of the basic rock bodies are often concentrated areas of rich ore bodies. Furthermore, the correlation index analysis between the rich ore bodies and basic rocks is performed using… Spatial autocorrelation analysis verifies the spatial clustering of rich ore bodies and basic rocks. Mineral microstructure analysis and geochemical trace element analysis are used to establish the genetic correlation between rich ore bodies and basic rocks. The intrusion of basic rocks provides a heat source, which promotes the activation and migration of uranium in the surrounding rocks. Hydrothermal fluids migrate along permeable sand bodies or faults, precipitating uranium minerals in the redox transition zone. Hydrothermal alteration dissolves primary uranium minerals. Multiple hydrothermal activities in the basic rocks lead to uranium re-enrichment, forming high-grade industrial ore bodies. This system verifies the direct causal relationship between hydrothermal activity in basic rocks and uranium enrichment, providing theoretical guidance and technical support for the exploration of similar deposits.

[0111] It should be noted that when comparing grey sandstones with different grades near diabase with grey sandstones far from the diabase vein, the rare earth element contents of high-grade mineralized grey sandstones, low-grade mineralized grey sandstones, and non-mineralized grey sandstones are all depleted, and the degree of depletion decreases in sequence ( Figure 9 A, B, C). The depletion of rare earth elements in the sandstone is attributed to the diabase vein. Therefore, it is indicated that uranium mineralization, especially high-grade uranium mineralization (rich ore bodies), may be attributed to the diabase vein.

[0112] S6. According to the spatial prediction of uranium mineralization, combining the genetic relationship between basic rocks and rich ore bodies, the association between the development positions of basic rocks and rich ore bodies in the study area in terms of spatial distribution is obtained, and the spatial distribution of rich ore bodies is predicted.

[0113] As Figure 10 shown, step S6 in this embodiment includes, according to the spatial prediction of uranium mineralization, combining the genetic relationship between basic rocks and rich ore bodies, analyzing the association between the development positions of basic rocks and rich ore bodies in the study area in terms of spatial distribution, obtaining that there may not be an ore body near the diabase, but industrial uranium ore bodies exist near the basic rocks, and according to the spatial prediction of uranium mineralization, the intrusion of basic rocks into the uranium-bearing rock series and its vicinity causes the further enrichment of the original ore bodies. The 0m isopach of the basic rocks is superimposed on the uranium mineralization spatial prediction map through plane drawing software, and the color and thickness of its isopachs are set, and the spatial distribution of rich ore bodies is predicted near the range of hydrothermal fluid activities of the basic rocks.

[0114] It should be noted that the first-level, second-level, and third-level target areas included in the imported uranium mineralization spatial prediction map, the imported basic rock distribution map, and the basic rock thickness isopach data are used to create a new project in the plane drawing software. The layers are superimposed in the following order: the uranium mineralization spatial prediction map, the basic rock thickness isopach map, and the basic rock distribution map. Combining the spatial association analysis between basic rocks and rich ore bodies, the spatial distribution of rich ore bodies is predicted. The 0m isopach of the basic rocks is marked as the hydrothermal activity boundary. The rich ore body prediction area, the first-level prediction area is Z≥L1 and is located within the hydrothermal activity area, the second-level prediction area is L2≤Z<L1 and partially overlaps the hydrothermal area, and the third-level prediction area is Z<L2 and is adjacent to the edge of the hydrothermal area.

[0115] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for spatially locating rich ore bodies in sandstone-type uranium deposits intruded by basic rocks, characterized in that, Includes the following steps: S1, obtain field core logging and borehole data, and establish a stratigraphic framework for uranium-bearing rock series; S2. Based on the stratigraphic framework of uranium-bearing rocks, data statistics were performed on different ore-controlling factors, including the thickness of reducing geological bodies, uranium reservoir thickness, basic rock thickness, oxidized sandstone thickness, uranium mineralization thickness, and rich ore body thickness. Uranium reservoir thickness map and distribution maps of reducing geological bodies, interlayer oxidation zones, uranium mineralization, basic rocks, and rich ore bodies were drawn respectively. S3. Based on the uranium reservoir thickness map and the distribution maps of reduced geological bodies, interlayer oxidation zones and uranium mineralization, characterize the spatial configuration relationship between uranium mineralization and uranium reservoirs, reduced geological bodies and interlayer oxidation zones, and predict the spatial distribution of uranium mineralization. S4. Based on the distribution map of basic rocks and rich ore bodies, the spatial configuration relationship between basic rocks and rich ore bodies is characterized. Mineral microstructure analysis and geochemical trace element analysis are used to determine the relationship between uranium mineral formation and enrichment and hydrothermal fluid intrusion of basic rocks. S5. Based on the spatial configuration relationship between basic rocks and rich ore bodies and the relationship between the formation and enrichment of uranium minerals and the intrusion of hydrothermal fluids into basic rocks, the genetic relationship between basic rocks and rich ore bodies was obtained by using mineral microstructure analysis and geochemical trace element analysis. S6. Based on the spatial prediction of uranium mineralization and combined with the genetic relationship between basic rocks and rich ore bodies, the spatial distribution of the development locations of basic rocks and rich ore bodies in the study area was obtained, and the spatial distribution of rich ore bodies was predicted.

2. The spatial location method for rich ore bodies in sandstone-type uranium deposits intruded by basic rocks as described in claim 1, characterized in that, The step S1, which involves obtaining field core logging and borehole data to establish a stratigraphic framework for uranium-bearing rock series, includes: identifying and distinguishing sand bodies of different colors and reducing geological bodies based on the characteristics of basic rocks through field core logging; collecting borehole data in the study area, including logging, well logging, seismic, and paleontological data; and establishing sequence stratigraphic boundaries and marker beds in the study area based on the borehole data, thereby establishing a stratigraphic framework for uranium-bearing rock series.

3. The spatial location method for rich uranium ore bodies in sandstone-type uranium deposits intruded by basic rocks as described in claim 1, characterized in that, Step S2 describes the statistical analysis of different ore-controlling factors based on the stratigraphic framework of uranium-bearing rocks, including: the total thickness of the strata at the target strata of each borehole, the thickness of dark fine-grained sediments and retained sediments in reduced geological bodies, the thickness of uranium reservoirs and their ratio to strata, the thickness of oxidized sandstones and their ratio to sand bodies, the thickness of basic rocks, the thickness of uranium mineralization, and the thickness of rich ore bodies.

4. The spatial location method for rich ore bodies in sandstone-type uranium deposits intruded by basic rocks as described in claim 3, characterized in that: Step S2 also includes dividing uranium mineralization of different enrichment levels into industrial layers, mineralized layers, and off-surface mineralization during the statistical process; the industrial layer is defined as a rich ore body, and the classification range is uranium grade U≥0.01% and uranium content ≥1kg / m². 2 The mineralized layer is defined as having a uranium grade U ≥ 0.01% and a uranium content < 1 kg / m². 2 The classification range for off-the-table minerals is defined as uranium grade 0.005% ≤ U < 0.01%.

5. The spatial location method for rich ore bodies in sandstone-type uranium deposits intruded by basic rocks as described in claim 4, characterized in that: Step S2 involves statistically analyzing data on different ore-controlling factors based on the stratigraphic framework of uranium-bearing rocks. These ore-controlling factors include the thickness of reducing geological bodies, uranium reservoirs, basic rocks, oxidized sandstone, uranium mineralization, and rich ore bodies. This includes plotting uranium reservoir thickness maps and distribution maps of reducing geological bodies, interlayer oxidation zones, uranium mineralization, basic rocks, and rich ore bodies. The steps include the following sub-steps: S21. Based on the stratigraphic framework of uranium-bearing rock series, the data of different ore-controlling factors were statistically analyzed. The statistical results of different ore-controlling factors were imported into the geographic 3D painting software, and the locations of each borehole in the study area and the corresponding ore-controlling factor data, uranium mineralization thickness and rich ore body thickness were projected respectively. S22. Use 3D geological drawing software to generate contour maps for each data of ore-controlling factors, uranium mineralization thickness, and thickness of rich ore bodies respectively, and import the borehole positions, ore-controlling factor data, uranium mineralization thickness, thickness of rich ore bodies, and the corresponding generated contour maps into the plane drawing software; S23. According to the plane drawing software, divide, delineate, and connect the ore-controlling factor data, uranium mineralization thickness, and thickness of rich ore bodies in the same value range interval, and assign different color fills to the closed intervals of different value ranges; S24. Calculate the percentage content of oxidized sand bodies based on the thickness of oxidized sandstone, and divide and color-mark different value range intervals of the percentage content of oxidized sand bodies based on the plane drawing tool to obtain the zoning map of the interlayer oxidation zone; The formula for calculating the percentage content of oxidized sand is: Y L =Y c / G*100%, where Y L Y represents the percentage content of oxidized sand. c G represents the thickness of the oxidized sandstone, and G represents 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 oxidation zone contains 60% oxidized sand. <Y L The percentage of oxidized sand in the transition zone is 0% ≤ Y L ≤60%; the percentage of oxidized sand in the reduction zone is Y L =0%.

6. The spatial location method for rich ore bodies in sandstone-type uranium deposits intruded by basic rocks as described in claim 5, characterized in that, In step S3, according to the uranium reservoir thickness map, reduced geological body distribution map, interlayer oxidation zone zoning map, and uranium mineralization distribution map, characterizing the spatial configuration relationship between uranium mineralization and uranium reservoir, reduced geological body, and interlayer oxidation zone, and predicting the uranium mineralization space includes the following steps: S31. Import the uranium reservoir thickness map, reduced geological body distribution map, interlayer oxidation zone zoning map, and uranium mineralization distribution map into the plane drawing software, and stack them in sequence according to the uranium reservoir thickness map, reduced geological body distribution map, interlayer oxidation zone zoning map, and uranium mineralization distribution map; S32. Characterize the spatial configuration relationship between uranium mineralization and uranium reservoir, reduced geological body, and interlayer oxidation zone, including the relative positions, distribution characteristics, and correlation relationships of uranium mineralization with uranium reservoir, reduced geological body, and interlayer oxidation zone on the plane; S33. Stack the uranium reservoir sand content rate line, dark fine-grained sediment thickness contour line, and retention sediment thickness contour line on the uranium reservoir thickness map respectively, and stack the demarcation lines between the oxidation zone and transition zone, and between the transition zone and reduction zone in the interlayer oxidation zone on the uranium reservoir thickness map respectively; S34. On the stacked uranium reservoir thickness map, mark the contour lines of the ore-controlling factors corresponding to the uranium reservoir, reduced geological body, and interlayer oxidation zone with colors and thicknesses, and comprehensively calculate the condition matching degree score according to different types of ore-controlling factors to predict the space of uranium ore enrichment areas; The expression of the condition matching degree is: Z=∑C i IN i ; In the formula, C i W represents the evaluation score corresponding to the i-th type of ore-controlling factor. i is the weighting coefficient corresponding to the i-th ore-controlling factor, and Z is the conditional fit. The types of ore-controlling factors include uranium reservoir thickness, sand content, thickness of reducing geological bodies, and location of oxidation zones. S35. Preset a matching degree threshold, delineate the uranium ore enrichment target areas where the condition matching degree is greater than the matching degree threshold, and divide them into three types of target areas according to the ore-forming potential; Among them, the first-level target area is Z≥L1; the second-level target area is L2≤Z<L1; the third-level target area is Z<L2; where L1 and L2 are both set condition matching degree delineation and determination scores, and L2<L1.

7. The spatial location method for rich uranium ore bodies in sandstone-type uranium deposits intruded by basic rocks as described in claim 6, characterized in that: In step S4, according to the basic rock and rich ore body distribution map, characterizing the spatial configuration relationship between the basic rock and the rich ore body, and using microscopic observation and chemical trace analysis to determine the relationship between the formation and enrichment of uranium minerals and the intrusion of basic rock hydrothermal fluids includes the following sub-steps: S41. Import the basic rock distribution map and rich ore body distribution map into the plane drawing software and stack them; S42. Characterize the spatial configuration relationship between the rich ore body and the basic rock, including the relative positions, distribution characteristics, and correlation relationships of the rich ore body and the basic rock on the plane; S43. Extend outward along the boundary of the basic rock mass to obtain sand body samples at different spatial positions around the basic rock intrusion body; S44. Microscopic analysis of sand body samples was conducted using scanning electron microscopy to obtain the microscopic occurrence locations of uranium ore, pitchblende and uranium ore. The dissolution of ferrodolomite and dolomite and siderite was identified by observing altered minerals, which determined that the precipitation of uranium minerals was caused by the intrusion of hydrothermal fluids into the basic rocks. S45. Using geochemical testing instruments to analyze trace elements in minerals, if uranium ore and uranium ore have similar rare earth element distribution patterns, and the rare earth element parameter points of both are in high salinity fluid regions and the temperature is below 350℃, then it can be concluded that uranium ore and uranium ore were formed in a low-temperature, high-salinity hydrothermal environment, and the intrusion of hydrothermal fluids into basic rocks caused the enrichment of uranium.

8. The spatial location method for rich uranium ore bodies in sandstone-type uranium deposits intruded by basic rocks as described in claim 7, characterized in that: Step S5, based on the spatial configuration relationship between basic rocks and rich ore bodies and the relationship between uranium mineral formation and enrichment and hydrothermal fluid intrusion into basic rocks, employs mineral microstructure analysis and geochemical trace element analysis to obtain the genetic relationship between basic rocks and rich ore bodies, including the following sub-steps: S51. Import the distribution maps of basic rocks and rich ore bodies into the planar drawing software and overlay them. S52 characterizes the spatial configuration relationship between rich ore bodies and basic rocks, including the relative positions, distribution characteristics, and correlations of rich ore bodies and basic rocks in the plane; S53, through analysis of mineral microstructure and geochemical trace element analysis, determined the genetic relationship between the rich ore body and the basic rocks, and confirmed that hydrothermal activity related to the intrusion of the basic rocks participated in uranium mineralization, further enriching uranium and forming the rich ore body, thus obtaining the genetic relationship between the basic rocks and the rich ore body.

9. The spatial location method for rich uranium ore bodies in sandstone-type uranium deposits intruded by basic rocks as described in claim 8, characterized in that: In step S6, based on the spatial prediction of uranium mineralization and the genetic relationship between basic rocks and rich ore bodies, the spatial distribution of the development locations of basic rocks and rich ore bodies in the study area is obtained. This includes: based on the spatial prediction of uranium mineralization and the genetic relationship between basic rocks and rich ore bodies, the spatial distribution of the development locations of basic rocks and rich ore bodies in the study area is analyzed, and it is found that there may not be ore bodies near diabase, but industrial uranium ore bodies exist near basic rocks.

10. The spatial location method for rich uranium ore bodies in sandstone-type uranium deposits intruded by basic rocks as described in claim 9, characterized in that: Step S6 involves spatial prediction of the distribution of rich ore bodies, including: based on the spatial prediction of uranium mineralization, the intrusion of basic rocks into uranium-bearing rock series and its vicinity causes further enrichment of the original ore bodies; using planar drawing software, the thickness contour lines of basic rocks are overlaid on the spatial prediction map of uranium mineralization with a thickness of 0m; and the color and thickness of the contour lines are set; and the spatial prediction of the distribution of rich ore bodies is carried out near the hydrothermal fluid activity range of basic rocks.

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