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A 3D geological modeling technology using multivariate geoscience information for exploration of sandstone-type uranium deposits |
SUN Dong-Hua1,2,3( ), CHEN Wei1,2,3, CHENG Sha-Sha1,2,3, SHI Lian-Cheng1,2,3, ZHANG Jun-Wei1,2,3, QI Ping1,2,3, YANG Yu-Qin1,2,3 |
1. Airborne Survey and Remote Sensing Center of Nuclear Industry, Shijiazhuang 050002, China 2. Hebei Provincial Key Laboratory of Aerial Detection and Remote Sensing Technology, Shijiazhuang 050002, China 3. CNNC Key Laboratory for Geophysical Exploration Technology Center of Uranium Resource, Shijiazhuang 050002, China |
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Abstract Three-dimensional (3D) geological modeling is regarded as an effective technical method for locating deep-seated minerals. However, its application in deep metallogenic prediction of sandstone-type uranium deposits remains limited. Focusing on the Hadatu-Saihan Gaobi area in the Erlian Basin, this study developed a 3D geological model for deep metallogenic prediction by integrating geological, geophysical, and remote sensing data. Given the characteristics of multivariate geoscience information, this study proposed a layered 3D implicit modeling method. Specifically, for modeling at depths less than 1 000 m, geological and drilling data, along with ground electromagnetic survey results, were primarily used. In contrast, for modeling at depths exceeding 1 000 m, the results from 3D joint gravity and magnetic inversion were utilized. The resulting 3D geological model reveals that primary strata in the study area include the Neogene-Paleogene, Lower Cretaceous, Permian, Carboniferous, and Neoproterozoic strata, with prominent rock masses comprising granites and intermediate-basic rocks. The elevated and slightly elevated fields of aeroradiometric uranium content around the known uranium deposit are associated with the migration, deposition, and enrichment of uranium-bearing materials, as well as fault-related tectonic movements. Through three-dimensional metallogenic prediction based on metallogenic condition analysis, three metallogenic prospect areas with geological characteristics similar to the known uranium deposit were identified. This study provides a novel philosophy for the interpretation of aeroradiometric data and the exploration of deep uranium deposits in basins.
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Received: 21 December 2023
Published: 22 July 2025
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Previous work locations in the study area 1—geological profile; 2—seismic profile; 3—controlled source audio-frequency magnetotelluric (CSAMT) profile; 4—borehole; 5—uranium deposit; 6—residential area
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3D geological model of the study area (with z-axis-stretched 10 times, the same below) a—preliminary 3D geological model; b—final 3D geological model
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Schematic diagram of the gradual approximation process of aeromagnetic forward modeling simulation a—measured result; b, c—intermediate forward modeling results after continuous adjustments; d—final forward modeling result
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The results of 3D joint gravity and magnetic inversion a—density; b—susceptibility
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3D visualization diagram of major geological layers (bodies)
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Airborne radiometric survey results and 3D geological model
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3D metallogenic prediction map of the study area
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