Sandstone type uranium mine exploration method, device, equipment and system

By constructing a deep geological-geophysical model and fusing multi-source data, the problem of insufficient deep exploration capability in sandstone-type uranium deposit exploration has been solved, achieving efficient and accurate three-dimensional exploration and improving the success rate and efficiency of mineral exploration.

CN122018036APending Publication Date: 2026-05-12NUCLEAR IND 208 BRIGADE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NUCLEAR IND 208 BRIGADE
Filing Date
2026-03-12
Publication Date
2026-05-12

AI Technical Summary

Technical Problem

Existing sandstone-type uranium exploration technologies lack the ability to detect deep three-dimensional geological structures and mineralization spatial distribution, and lack effective fusion of multi-scale and multi-source data and three-dimensional visualization modeling, resulting in low exploration efficiency and low mineral discovery success rate.

Method used

By constructing a deep geological-geophysical model and employing multi-source data fusion technology, an integrated exploration from the surface to the depths and from the macroscopic to the microscopic is achieved. By integrating data from GIS analysis, geochemical measurements, radioactive gamma spectroscopy measurements, nano-uranium mineral phase identification, and fluid transport patterns, a three-dimensional uranium mineralization physical model is constructed.

Benefits of technology

It improved the reliability of exploration results and the success rate of mineral exploration, achieved high-precision spatial positioning of deep uranium ore bodies, reduced the blindness of drilling deployment and exploration risks, and improved exploration efficiency and accuracy.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a sandstone type uranium mine exploration method, device, equipment and system, and relates to the technical field of geological exploration. The method comprises the following steps: analyzing geological data of a target area through a GIS (Geographic Information System), screening ore-forming favorable target area sampling points, collecting sampling point samples, carrying out coupling analysis to obtain a surface uranium abnormal area, and integrating and constructing a three-dimensional geology-geophysical model of the surface uranium abnormal area through a data inversion method. And deploying a drilling point based on the model, collecting a core sample, a formation water sample and a gas sample of the drilling point, constructing a three-dimensional uranium mineralization physical model according to a multivariate data fusion technology, and determining the content of the sandstone type uranium ore in the target area by using a geological block method according to the three-dimensional uranium mineralization physical model. By constructing the deep geology-geophysical model, integrated uranium ore exploration from the earth surface to the deep part and from the macroscopic area to the microscopic area is realized, and the exploration precision and exploration efficiency of the sandstone type uranium ore are improved.
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Description

Technical Field

[0001] This invention relates to the field of geological exploration technology, and in particular to a method, apparatus, equipment and system for exploring sandstone-type uranium deposits. Background Technology

[0002] In the exploration of sandstone-type uranium deposits, traditional exploration methods mainly rely on surface or near-surface soil sampling and geophysical measurements (such as radiometric gamma spectroscopy) to delineate anomaly areas. Currently, the industry generally adopts the approach of first conducting surface geochemical and geophysical surveys to delineate the target area, and then deploying relatively sparse boreholes for verification and deep exploration.

[0003] The research paper "Application of 3D Geological Modeling in the Exploration of a Sandstone-Type Uranium Deposit in the Ordos Basin" (Uranium Geology, 2022) points out that traditional 2D exploration methods are insufficient to effectively characterize the spatial morphology of deep ore bodies and their relationship with ore-controlling structures. This leads to significant uncertainty in the prediction of deep uranium ore bodies, resulting in a strong reliance on experience and a degree of uncertainty in drilling deployment. Furthermore, in practical exploration scenarios, data from different stages are often poorly integrated, making it difficult to construct a unified geological model from micro to macro and from the surface to the depths.

[0004] Based on the current exploration status of sandstone-type uranium deposits, it is evident that the fundamental deficiency of existing sandstone-type uranium exploration technologies lies in their insufficient ability to detect deep three-dimensional geological structures and the spatial distribution of mineralization. Furthermore, they lack a technical system for effectively integrating multi-scale, multi-source data and performing three-dimensional visualization modeling and quantitative prediction. This results in low exploration efficiency, limited prospecting capabilities, and a low success rate. Therefore, it is necessary to propose a novel and systematic sandstone-type uranium deposit exploration scheme to address these issues. Summary of the Invention

[0005] In view of this, the present invention provides a method, apparatus, equipment and system for sandstone-type uranium exploration. By constructing a deep geological-geophysical model, a data-driven, multi-scale collaborative exploration system is formed to realize integrated sandstone-type uranium exploration from the surface to the depths and from the macroscopic to the microscopic, thereby improving the accuracy and efficiency of deep prospecting for sandstone-type uranium deposits.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: A method for exploring sandstone-type uranium deposits includes the following steps: S1. Collection and Screening Steps: Obtain geological data of the target area and use GIS analysis technology to screen sampling points in favorable mineralization target areas; S2. Sample testing steps: Collect soil samples from sampling points in favorable mineralization target areas, and test the soil samples to obtain geochemical measurement data and radioactive gamma spectroscopy measurement data; S3. Coupled analysis step: Couple the geochemical measurement data with the radioactive gamma spectroscopy measurement data to obtain the surface uranium anomaly region; the surface uranium anomaly region is the overlapping area of ​​the uranium content anomaly region obtained by the coupled analysis and the gamma spectroscopy uranium anomaly region. S4. Inversion Modeling Steps: Collect stratigraphic lithology data, reservoir distribution and structural data at different depths in the surface uranium anomaly area, and integrate and construct a three-dimensional geological-geophysical model of the surface uranium anomaly area through data inversion method; S5. Targeted Sampling Steps: Based on the three-dimensional geological-geophysical model, borehole points are deployed. Core samples, formation water samples, and gas samples are collected from the borehole points using continuous coring and measurement-while-drilling techniques. The core samples are analyzed to obtain nano-uranium mineral phase identification and characterization data. The formation water samples are analyzed using geochemical tracer analysis to obtain mineralization genesis and fluid migration patterns data. The gas samples are analyzed to obtain sample analysis data. S6. Integration and Modeling Steps: Based on multi-source data fusion technology, geochemical measurement data, radioactive gamma spectroscopy measurement data, sample analysis data, nano-uranium mineral phase identification and characterization data, and mineralization genesis and fluid transport law data are integrated to construct a three-dimensional uranium mineralization physical model. S7. Resource estimation steps: Based on the three-dimensional uranium mineralization physical model, the content of sandstone-type uranium deposits in the target area is confirmed using the geological block method.

[0007] In the above method, the geological data of the target area in S1 may include: regional basic geological map data, basin evolution and sedimentary structure data, mineralized formation characteristic data, tectonic development characteristic data, hydrogeological data, and geophysical and geochemical basic data.

[0008] In the above method, optionally, in S4: The acquisition methods for stratigraphic lithology data, reservoir distribution and structural data at different depths in surface uranium anomaly zones include: seismic exploration, controlled-source audio-frequency magnetotelluric sounding and borehole geophysical logging. The data inversion method employs a three-dimensional gravity, magnetoelectric and electrical joint inversion algorithm based on the finite element method.

[0009] In the above method, optionally, the nano-uranium mineral phase identification and characterization data in S5 includes: the phase type, crystal structure and embedding characteristics of uranium minerals.

[0010] Optionally, geochemical tracer analysis in S5, as described above, includes: Isotope tracing technology was used to trace and analyze uranium isotopes in formation water to obtain data on mineralization genesis and fluid migration patterns. The data on mineralization genesis and fluid migration patterns include data on the source of mineralizing fluids and the migration path of mineralizing fluids.

[0011] Optionally, in S6, a three-dimensional uranium mineralization physical model is constructed based on Petrel software; the three-dimensional uranium mineralization physical model includes the three-dimensional morphology, grade distribution, and thickness variation characteristics of the mineralized body.

[0012] A sandstone-type uranium deposit exploration device, operated according to a sandstone-type uranium deposit exploration method as described in any of the preceding claims, includes: a soil sampling component, a slide rail, a sliding support, and a drive component; the soil sampling component includes a trolley and a controller. A slide rail is fixedly installed on the handcart, and a sliding bracket is installed on the slide rail. A drive component is fixedly installed on the sliding bracket, and a controller is used to control the rotation of the output shaft of the drive component.

[0013] Optionally, the soil sampling assembly in the above-mentioned device may also include a sleeve, a rotating shaft, a propulsion drill bit, and a spiral blade; The output shaft of the drive unit is fixedly connected to one end of the rotation center shaft of the rotating shaft, and the other end of the rotation center shaft of the rotating shaft is coaxially fixedly connected to the feed drill bit. The rotating shaft is coaxially fixedly connected to the spiral blade. The rotating shaft is fitted with a sleeve, one end of which is detachably connected to the drive unit. The inner wall of the sleeve is clearance-fitted with the outer edge of the spiral blade.

[0014] A sandstone-type uranium deposit exploration device includes: a processor, a memory, and a computer program, wherein the processor and the memory are electrically connected; A computer program for performing a sandstone-type uranium deposit exploration method as described in any of the preceding items; Memory, used to store computer programs; A processor is used to call and execute computer programs stored in memory.

[0015] A sandstone-type uranium deposit exploration system, used to implement a sandstone-type uranium deposit exploration method as described above, comprising: a collection and screening module, a sample detection module, a coupling analysis module, an inversion modeling module, a targeted sampling module, an integrated modeling module, and a resource estimation module connected in sequence; The collection and screening module is used to acquire geological data of the target area and use GIS analysis technology to screen sampling points in favorable mineralization target areas; The sample testing module is used to collect soil samples from sampling points in favorable mineralization target areas, and to test the soil samples to obtain geochemical measurement data and radioactive gamma spectroscopy measurement data. The coupling analysis module is used to perform coupling analysis between geochemical measurement data and radioactive gamma-ray spectroscopy measurement data to obtain surface uranium anomaly regions; the surface uranium anomaly regions are the overlapping areas of uranium content anomaly regions obtained by coupling analysis and gamma-ray spectroscopy uranium anomaly regions. The inversion modeling module is used to collect stratigraphic lithology data, reservoir distribution and structural data at different depths in the surface uranium anomaly zone, and integrate them to construct a three-dimensional geological-geophysical model of the surface uranium anomaly zone through data inversion method; The targeted sampling module is used to deploy boreholes based on a three-dimensional geological-geophysical model. It collects core samples, formation water samples, and gas samples from the boreholes using continuous coring and measurement-while-drilling techniques. The core samples are analyzed to obtain nano-uranium mineral phase identification and characterization data. The formation water samples are analyzed using geochemical tracer analysis to obtain mineralization genesis and fluid migration data. The gas samples are analyzed to obtain sample analysis data. The integrated modeling module is used to integrate geochemical measurement data, radioactive gamma spectroscopy measurement data, sample analysis data, nano-uranium mineral phase identification and characterization data, and mineralization genesis and fluid migration law data based on multi-source data fusion technology to construct a three-dimensional uranium mineralization physical model; The resource estimation module is used to determine the sandstone-type uranium deposit content in the target area using the geological block method based on a three-dimensional uranium mineralization physical model.

[0016] As can be seen from the above technical solution, compared with the prior art, the present invention provides a method, apparatus, equipment and system for sandstone-type uranium deposit exploration, which has the following beneficial effects: (1) Reliable and efficient exploration: This invention constructs an integrated exploration system of surface-deep-microscopic. It uses a three-dimensional mineralization model constructed by multi-source data fusion to estimate resource quantity, enabling resource evaluation to shift from traditional empirical estimation to quantitative calculation based on a refined three-dimensional model. This achieves the analysis from macroscopic morphology to microscopic genesis, from ore body location to mineralization mechanism, thereby improving the reliability of exploration results and the success rate of mineral exploration. (2) Scientific and comprehensive prediction: This invention establishes a regional metallogenic geological background knowledge base by integrating multi-dimensional and multi-type geological data, which provides data support for GIS intelligent screening and improves the scientificity and comprehensiveness of the prediction of metallogenic favorable areas; (3) Accurate and well-founded exploration: This invention combines the application of multiple geophysical methods with joint inversion based on finite element method, realizes the complementarity and constraint of geological information at different depths, constructs a high-precision and high-resolution three-dimensional structural model, and provides geophysical basis for the spatial positioning of deep uranium ore bodies. (4) Exploration visualization: This invention achieves high-precision three-dimensional visualization representation of deep geological structure, sand body distribution and ore-controlling structure through three-dimensional joint inversion and modeling of multi-source geophysical data. It changes the ambiguity and limitations of traditional two-dimensional inference, improves the accuracy of spatial positioning of deep uranium ore bodies, and reduces the blindness of drilling deployment and exploration risks. (5) Simple and easy to operate: The device of the present invention has a simple structure and is easy to move, realizing semi-automation of soil sampling. The sampling depth and rotation speed can be precisely controlled by the controller, ensuring the standardization and consistency of sample collection and further improving the efficiency of field work. Attached Figure Description

[0017] 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 embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0018] Figure 1 This is a flowchart of a sandstone-type uranium deposit exploration method disclosed in this invention; Figure 2 This is a flowchart illustrating the steps of a sandstone-type uranium deposit exploration method disclosed in an embodiment of the present invention; Figure 3 This is a structural diagram of a sandstone-type uranium deposit exploration device disclosed in an embodiment of the present invention; Figure 4 This is a side view of a sandstone-type uranium deposit exploration device disclosed in an embodiment of the present invention; Figure 5 This is a frontal sectional view of the sleeve in a sandstone-type uranium deposit exploration device disclosed in an embodiment of the present invention; Among them, 1-handcart, 2-slide rail, 3-sliding bracket, 4-DC motor, 5-rotating shaft, 6-spiral blade, 7-sleeve, 8-conical propulsion drill bit. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] In this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0021] See Figure 1 As shown, to solve the problem of sandstone-type uranium deposit exploration and achieve integrated exploration from the surface to the depths and from the macroscopic to the microscopic, this invention discloses a sandstone-type uranium deposit exploration method, including the following steps: S1. Collection and Screening Steps: Obtain geological data of the target area and use GIS analysis technology to screen sampling points in favorable mineralization target areas.

[0022] S2. Sample testing steps: Collect soil samples from sampling points in favorable mineralization target areas, and test the soil samples to obtain geochemical measurement data and radioactive gamma-ray spectroscopy measurement data.

[0023] S3. Coupling analysis steps: Coupling analysis is performed on geochemical measurement data and radiometric gamma-ray spectroscopy measurement data to obtain the surface uranium anomaly region; the surface uranium anomaly region is the overlapping area of ​​the uranium content anomaly region obtained by coupling analysis and the gamma-ray spectroscopy uranium anomaly region.

[0024] S4. Inversion Modeling Steps: Collect stratigraphic lithology data, reservoir distribution and structural data at different depths in the surface uranium anomaly area, and integrate them to construct a three-dimensional geological-geophysical model of the surface uranium anomaly area through data inversion method.

[0025] S5. Targeted Sampling Steps: Based on a three-dimensional geological-geophysical model, borehole points are deployed. Core samples, formation water samples, and gas samples are collected from the borehole points using continuous coring and measurement-while-drilling techniques. Core samples are analyzed to obtain nano-uranium mineral phase identification and characterization data. Formation water samples are analyzed using geochemical tracer analysis to obtain mineralization genesis and fluid migration patterns data. Gas samples are analyzed using gas chromatography (GC) to obtain sample analysis data.

[0026] S6. Integration Modeling Steps: Based on multi-source data fusion technology, geochemical measurement data, radioactive gamma spectroscopy measurement data, sample analysis data, nano-uranium mineral phase identification and characterization data, and mineralization genesis and fluid migration law data are integrated to construct a three-dimensional uranium mineralization physical model.

[0027] S7. Resource estimation steps: Based on the three-dimensional uranium mineralization physical model, the content of sandstone-type uranium deposits in the target area is confirmed using the geological block method.

[0028] Furthermore, the geological data for the target area in S1 includes: regional basic geological map data, basin evolution and sedimentary structure data, mineralized formation characteristics data, tectonic development characteristics data, hydrogeological data, and geophysical and geochemical basic data.

[0029] Given the sandstone-type uranium deposit exploration method disclosed in this invention, it is understood that to improve the accuracy and efficiency of deep underground exploration of sandstone-type uranium deposits, this invention constructs an integrated surface-deep-microscopic exploration system. In the scheme disclosed in this invention, geological data of the target area is screened through GIS analysis, and the screening results are coupled with surface geochemical-radioactive data for analysis. This operation overcomes the shortcomings of traditional single methods, such as incomplete information and significant interference from false anomalies, improving the scientific rigor and accuracy of surface anomaly delineation and providing surface evidence for subsequent deep exploration.

[0030] Furthermore, in S4: The acquisition methods for stratigraphic lithology data, reservoir distribution and structural data at different depths in surface uranium anomaly zones include: seismic exploration, controlled-source audio-frequency magnetotelluric sounding and borehole geophysical logging. The data inversion method employs a three-dimensional gravity, magnetoelectric and electrical joint inversion algorithm based on the finite element method.

[0031] Furthermore, the S5 nano-uranium mineral phase identification and characterization data includes: phase type, crystal structure and embedding characteristics of uranium minerals.

[0032] Geochemical tracer analysis includes: using isotope tracing technology to trace and analyze uranium isotopes in formation water to obtain data on mineralization genesis and fluid migration patterns; the data on mineralization genesis and fluid migration patterns includes data on the source of mineralizing fluids and the migration path of mineralizing fluids.

[0033] This invention achieves three-dimensional joint inversion and modeling of multi-source geophysical data through S4-S5, enabling high-precision three-dimensional visualization of the deep geological structure, sand body distribution, and ore-controlling structures of sandstone-type uranium deposits. This changes the ambiguity and limitations of the two-dimensional inference method used in traditional sandstone-type uranium deposit exploration, improves the accuracy of spatial positioning of deep uranium ore bodies, and reduces the blindness of drilling deployment and exploration risks.

[0034] Furthermore, in S6, a three-dimensional uranium mineralization physical model is constructed based on Petrel software; the three-dimensional uranium mineralization physical model includes the three-dimensional morphology of the mineralized body, grade distribution, and thickness variation characteristics.

[0035] This invention combines targeted drilling guided by a deep three-dimensional geological model, nanoscale mineral characterization, and fluid geochemical tracing technology through multi-source data fusion technology. This enables the analysis from macroscopic morphology to microscopic genesis, from ore body location to mineralization mechanism. Finally, based on a three-dimensional mineralization model constructed using three-dimensional modeling software, the resource quantity of the target area is estimated. This shifts resource evaluation from traditional empirical estimation to quantitative calculation based on a refined three-dimensional model, improving the reliability of exploration results and the success rate of mineral exploration.

[0036] Reference Figure 3 and Figure 4 The present invention also discloses a sandstone-type uranium deposit exploration device, which operates using a sandstone-type uranium deposit exploration method as described in any of the preceding claims, comprising: a soil collection component, a slide rail 2, a sliding support 3, and a drive component; the soil collection component includes a handcart 1 and a controller; A slide rail 2 is fixedly installed on the handcart 1. A sliding bracket 3 is installed on the slide rail 2 and can be slidably engaged. A drive component is fixedly installed on the sliding bracket 3. The controller is used to control the rotation of the output shaft of the drive component.

[0037] Furthermore, refer to Figure 5 , combined Figure 3 and Figure 4 The soil collection assembly also includes a sleeve 7, a rotating shaft 5, a propulsion drill bit 8, and a spiral blade 6; The output shaft of the drive unit is fixedly connected to one end of the rotation center shaft of the rotating shaft 5. The other end of the rotation center shaft of the rotating shaft 5 is coaxially fixedly connected to the push drill bit 8. The rotating shaft 5 is coaxially fixedly connected to the spiral blade 6. The rotating shaft 5 is fitted with a sleeve 7. One end of the sleeve 7 is detachably connected to the drive unit. The inner wall of the sleeve 7 is clearance-fitted with the outer edge of the spiral blade 6.

[0038] Furthermore, refer to Figure 3 and Figure 4 The driving component is a DC motor 4.

[0039] The following study investigates the sandstone-type uranium deposit exploration method disclosed in this invention, using a specific region as the exploration target. The region where sandstone-type uranium deposits may exist is marked as the detection area, and references... Figure 2 The area to be tested was surveyed.

[0040] Step 1: Target Sampling Point Screening and Joint Surface Measurement: Collect geological data of the detection area and screen the data using GIS analysis technology to obtain favorable mineralization target sampling points in the detection area. Collect soil samples at a depth of 30 cm from the soil surface of the target sampling points (i.e., favorable mineralization target sampling points) using a soil sampling device. Analyze the soil samples to obtain geochemical measurement data and radioactive gamma spectroscopy measurement data, and perform coupled analysis to obtain the overlapping area of ​​uranium content anomaly and gamma spectral uranium anomaly. This area is the surface uranium anomaly area of ​​the detection area.

[0041] Specifically, the soil collection component includes a handcart 1 and a controller. A slide rail 2 is fixedly connected to the handcart 1 by bolts. A sliding bracket 3 is slidably fitted on the slide rail 2. A DC motor 4 is fixedly connected to the sliding bracket 3 by bolts. The controller is used to control the rotation of the output shaft of the drive component.

[0042] In this embodiment, the driving component is a DC motor 4. A rotating shaft 5 is coaxially fixed to the output shaft of the DC motor 4 by bolts, and a helical blade 6 is coaxially welded to the rotating shaft 5. A sleeve 7 is fitted over the rotating shaft 5, and one end of the sleeve 7 is detachably connected to the DC motor 4. The inner wall of the sleeve 7 is clearance-fitted with the outer edge of the helical blade 6. A tapered feed drill bit 8 is coaxially fixed to the end of the rotating shaft 5 away from the DC motor 4 by bolts.

[0043] Prepare for soil sampling in the testing area. Push the wheelbarrow 1 to the target sampling point and clean away any other impurities (including plant roots, dead leaves, gravel, and man-made debris) from the top 0-5cm of soil at the target sampling point to expose the fresh soil surface below. If the testing area is a cultivated or sandy area, observe the soil texture after cleaning. If the surface sand is loose, gently compact it around the sampling point (to prevent surface sand from slipping in during drilling).

[0044] During soil sampling in the testing area, after compacting the soil at the sampling point, the handcart 1 is tilted vertically so that the conical drill bit 8 is aligned with the center of the cleaned target sampling point. The sleeve 7 is kept perpendicular to the ground to avoid tilting during drilling, which could cause the borehole wall to collapse. A marker is used to mark a depth of 30cm on the outside of the sleeve 7.

[0045] Combination Figure 4 As shown, the DC motor 4 is started by the controller. The output shaft of the DC motor 4 drives the rotating shaft 5, which in turn drives the spiral blade 6, which in turn drives the conical propulsion drill bit 8 to rotate. Then, the sliding bracket 3 is pushed by both hands. At this time, the sliding bracket 3 drives the DC motor 4, which in turn drives the conical propulsion drill bit 8 to drill downward into the soil, and the soil sampling of the detection area officially begins.

[0046] Because the outer edge of the spiral blade 6 is fitted with the inner wall of the sleeve 7, the rotation of the spiral blade 6, along with the downward advance of the conical drill bit 8, can transport the soil upward within the sleeve 7. At the same time, sampling stops when the drilling depth reaches the marked 30cm position.

[0047] After soil sampling in the testing area is completed, the lifting DC motor 4 drives the sliding bracket 3 to slide upward along the slide rail 2, driving the conical advance drill bit 8 to pull out the soil. Then, the handcart 1 is leveled and the sleeve 7 is removed. At this time, soil samples remain in the gap between adjacent spiral blades 6. The soil samples are scraped, collected, and bagged. Then, the cleaned sleeve 7 is installed on the DC motor 4 for easy sampling next time.

[0048] As can be seen from the soil sampling process in the above-mentioned testing area, the design of the spiral blade and sleeve disclosed in the embodiment can not only achieve efficient and low-disturbance soil drilling and lifting, but also effectively maintain the stability of the borehole wall and prevent sample mixing through the sleeve, thus ensuring the original state and representativeness of the soil sample taken.

[0049] Step 2: Deep three-dimensional exploration and 3D modeling: Collect lithology, reservoir distribution and structural data of uranium anomaly zones at different depths in the detection area, and integrate them to construct a 3D geological-geophysical model of the uranium anomaly zone at a depth of 0-2000m using the data inversion method.

[0050] The methods for collecting lithology, reservoir distribution and structural data of uranium anomaly zones at different depths include seismic exploration, controlled-source audio-frequency magnetotelluric sounding and borehole geophysical logging; the data inversion method adopts a three-dimensional gravity, magnetic and electrical joint inversion algorithm based on finite element method to construct a three-dimensional geological-geophysical model.

[0051] Step 3: Targeted Sampling and Comprehensive Analysis: Based on a three-dimensional geological-geophysical model, borehole points are deployed, and continuous coring and measurement-while-drilling techniques are used to collect core, formation water, and gas samples below the borehole points.

[0052] Data on the identification and characterization of nano-uranium mineral phases were obtained from the core samples; geochemical tracer analysis was used to obtain data on the mineralization genesis and fluid migration patterns of the formation water.

[0053] Geochemical tracer analysis utilizes isotope tracing technology to trace and analyze uranium isotopes in formation water, obtaining data on mineralization genesis and fluid migration patterns, including the source and migration path of mineralizing fluids.

[0054] Step 4: Modeling, Evaluation and Target Area Optimization: Multi-source data fusion technology is used to integrate geochemical measurement data, radioactive gamma spectroscopy measurement, sample analysis data, nano-uranium mineral phase identification and characterization data, and mineralization genesis and fluid migration data to construct a three-dimensional uranium mineralization physical model of the detection area and estimate uranium resources using the geological block method.

[0055] The three-dimensional uranium mineralization physical model is constructed based on Petrel software. This model includes the three-dimensional morphology, grade distribution, and thickness variation characteristics of the mineralized body. This embodiment utilizes a three-dimensional mineralization model constructed with professional software such as Petrel to achieve precise characterization and visualization of the ore body's spatial morphology, grade, and thickness, providing an intuitive digital base map for resource estimation, mining scheme design, and subsequent engineering deployment.

[0056] To address the existing problems in sandstone-type uranium deposit exploration, this invention also discloses a sandstone-type uranium deposit exploration device, comprising: a processor, a memory, and a computer program, wherein the processor and the memory are electrically connected; A computer program is used to execute a sandstone-type uranium deposit exploration method as described in any of the preceding items; Memory is used to store computer programs; The processor is used to call and execute computer programs in memory.

[0057] The sandstone-type uranium deposit exploration equipment software-izes and systematizes the exploration method of this invention, realizing automated operation and intelligent decision support of the exploration process, and improving the efficiency and standardization of data processing, model building and result analysis.

[0058] and Figure 1 Corresponding to the method shown, this invention also discloses a sandstone-type uranium deposit exploration system, applied to achieve... Figure 1 The method for exploring sandstone-type uranium deposits includes: a collection and screening module, a sample detection module, a coupling analysis module, an inversion modeling module, a targeted sampling module, an integrated modeling module, and a resource estimation module connected in sequence.

[0059] The collection and screening module is used to obtain geological data of the target area and use GIS analysis technology to screen sampling points in favorable target areas for mineralization.

[0060] The sample testing module is used to collect soil samples from sampling points in favorable mineralization target areas, and to test the soil samples to obtain geochemical measurement data and radioactive gamma spectroscopy measurement data.

[0061] The coupling analysis module is used to perform coupling analysis between geochemical measurement data and radiometric gamma-ray spectroscopy measurement data to obtain surface uranium anomaly regions; the surface uranium anomaly regions are the overlapping areas of uranium content anomaly regions obtained from coupling analysis and gamma-ray spectroscopy uranium anomaly regions.

[0062] The inversion modeling module is used to collect stratigraphic lithology data, reservoir distribution and structural data at different depths in the surface uranium anomaly zone, and integrates them to construct a three-dimensional geological-geophysical model of the surface uranium anomaly zone through data inversion method.

[0063] The targeted sampling module is used to deploy boreholes based on a three-dimensional geological-geophysical model. It collects core samples, formation water samples, and gas samples from the boreholes using continuous coring and measurement-while-drilling techniques. The core samples are analyzed to obtain nano-uranium mineral phase identification and characterization data. The formation water samples are analyzed using geochemical tracer analysis to obtain data on mineralization genesis and fluid migration patterns. The gas samples are analyzed using gas chromatography (GC) to obtain sample analysis data.

[0064] The integrated modeling module is used to integrate geochemical measurement data, radioactive gamma spectroscopy measurement data, sample analysis data, nano-uranium mineral phase identification and characterization data, and mineralization genesis and fluid migration law data based on multi-source data fusion technology to construct a three-dimensional uranium mineralization physical model.

[0065] The resource estimation module is used to determine the sandstone-type uranium deposit content in the target area using the geological block method based on a three-dimensional uranium mineralization physical model.

[0066] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for exploring sandstone-type uranium deposits, characterized in that, Includes the following steps: S1. Collection and Screening Steps: Obtain geological data of the target area and use GIS analysis technology to screen sampling points in favorable mineralization target areas; S2. Sample testing steps: Collect soil samples from sampling points in favorable mineralization target areas, and test the soil samples to obtain geochemical measurement data and radioactive gamma spectroscopy measurement data; S3. Coupled analysis step: Couple the geochemical measurement data with the radioactive gamma spectroscopy measurement data to obtain the surface uranium anomaly region; the surface uranium anomaly region is the overlapping area of ​​the uranium content anomaly region obtained by the coupled analysis and the gamma spectroscopy uranium anomaly region. S4. Inversion Modeling Steps: Collect stratigraphic lithology data, reservoir distribution and structural data at different depths in the surface uranium anomaly area, and integrate and construct a three-dimensional geological-geophysical model of the surface uranium anomaly area through data inversion method; S5. Targeted Sampling Steps: Based on the three-dimensional geological-geophysical model, borehole points are deployed. Core samples, formation water samples, and gas samples are collected from the borehole points using continuous coring and measurement-while-drilling techniques. The core samples are analyzed to obtain nano-uranium mineral phase identification and characterization data. The formation water samples are analyzed using geochemical tracer analysis to obtain mineralization genesis and fluid migration patterns data. The gas samples are analyzed to obtain sample analysis data. S6. Integration and Modeling Steps: Based on multi-source data fusion technology, geochemical measurement data, radioactive gamma spectroscopy measurement data, sample analysis data, nano-uranium mineral phase identification and characterization data, and mineralization genesis and fluid transport law data are integrated to construct a three-dimensional uranium mineralization physical model. S7. Resource estimation steps: Based on the three-dimensional uranium mineralization physical model, the content of sandstone-type uranium deposits in the target area is confirmed using the geological block method.

2. The method for exploring sandstone-type uranium deposits according to claim 1, characterized in that, Geological data for the target area in S1 includes: regional basic geological map data, basin evolution and sedimentary structure data, mineralized formation characteristics data, tectonic development characteristics data, hydrogeological data, and geophysical and geochemical basic data.

3. The method for exploring sandstone-type uranium deposits according to claim 1, characterized in that, In S4: The acquisition methods for stratigraphic lithology data, reservoir distribution and structural data at different depths in surface uranium anomaly zones include: seismic exploration, controlled-source audio-frequency magnetotelluric sounding and borehole geophysical logging. The data inversion method employs a three-dimensional gravity, magnetoelectric and electrical joint inversion algorithm based on the finite element method.

4. The method for exploring sandstone-type uranium deposits according to claim 1, characterized in that, The S5 nano-uranium mineral phase identification and characterization data includes: phase type, crystal structure and embedding characteristics of uranium minerals.

5. The method for exploring sandstone-type uranium deposits according to claim 1, characterized in that, Geochemical tracer analysis in S5 specifically includes: Isotope tracing technology was used to trace and analyze uranium isotopes in formation water to obtain data on mineralization genesis and fluid migration patterns. The data on mineralization genesis and fluid migration patterns include data on the source of mineralizing fluids and the migration path of mineralizing fluids.

6. The method for exploring sandstone-type uranium deposits according to claim 1, characterized in that, In S6, a three-dimensional uranium mineralization physical model is constructed based on Petrel software; the three-dimensional uranium mineralization physical model includes the three-dimensional morphology, grade distribution and thickness variation characteristics of the mineralization body.

7. A sandstone-type uranium deposit exploration apparatus, operating according to any one of claims 1-6, characterized in that, include: Soil collection components, slide rails, sliding supports, and drive components; the soil collection components include a trolley and a controller. A slide rail is fixedly installed on the handcart, and a sliding bracket is installed on the slide rail. A drive component is fixedly installed on the sliding bracket, and a controller is used to control the rotation of the output shaft of the drive component.

8. The sandstone-type uranium deposit exploration device according to claim 7, characterized in that, The soil acquisition assembly also includes a sleeve, a shaft, a propulsion drill bit, and auger blades; The output shaft of the drive unit is fixedly connected to one end of the rotation center shaft of the rotating shaft, and the other end of the rotation center shaft of the rotating shaft is coaxially fixedly connected to the feed drill bit. The rotating shaft is coaxially fixedly connected to the spiral blade. The rotating shaft is fitted with a sleeve, one end of which is detachably connected to the drive unit. The inner wall of the sleeve is clearance-fitted with the outer edge of the spiral blade.

9. A sandstone-type uranium deposit exploration device, characterized in that, include: Processor, memory, and computer program; processor and memory are electrically connected. A computer program for executing a sandstone-type uranium deposit exploration method as described in any one of claims 1-6; Memory, used to store computer programs; A processor is used to call and execute computer programs stored in memory.

10. A sandstone-type uranium deposit exploration system, used to implement a sandstone-type uranium deposit exploration method as described in any one of claims 1-6, characterized in that, include: The modules are sequentially connected: collection and screening module, sample detection module, coupling analysis module, inversion modeling module, targeted sampling module, integrated modeling module, and resource estimation module. The collection and screening module is used to acquire geological data of the target area and use GIS analysis technology to screen sampling points in favorable mineralization target areas; The sample testing module is used to collect soil samples from sampling points in favorable mineralization target areas, and to test the soil samples to obtain geochemical measurement data and radioactive gamma spectroscopy measurement data. The coupling analysis module is used to perform coupling analysis between geochemical measurement data and radioactive gamma-ray spectroscopy measurement data to obtain surface uranium anomaly regions; the surface uranium anomaly regions are the overlapping areas of uranium content anomaly regions obtained by coupling analysis and gamma-ray spectroscopy uranium anomaly regions. The inversion modeling module is used to collect stratigraphic lithology data, reservoir distribution and structural data at different depths in the surface uranium anomaly zone, and integrate them to construct a three-dimensional geological-geophysical model of the surface uranium anomaly zone through data inversion method; The targeted sampling module is used to deploy boreholes based on a three-dimensional geological-geophysical model. It collects core samples, formation water samples, and gas samples from the boreholes using continuous coring and measurement-while-drilling techniques. The core samples are analyzed to obtain nano-uranium mineral phase identification and characterization data. The formation water samples are analyzed using geochemical tracer analysis to obtain mineralization genesis and fluid migration data. The gas samples are analyzed to obtain sample analysis data. The integrated modeling module is used to integrate geochemical measurement data, radioactive gamma spectroscopy measurement data, sample analysis data, nano-uranium mineral phase identification and characterization data, and mineralization genesis and fluid migration law data based on multi-source data fusion technology to construct a three-dimensional uranium mineralization physical model; The resource estimation module is used to determine the sandstone-type uranium deposit content in the target area using the geological block method based on a three-dimensional uranium mineralization physical model.