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
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.
孙栋华, 陈伟, 程莎莎, 石连成, 张俊伟, 祁平, 杨玉勤. 砂岩型铀矿勘查多元地学信息三维地质建模技术研究[J]. 物探与化探, 2025, 49(3): 631-641.
SUN Dong-Hua, CHEN Wei, CHENG Sha-Sha, SHI Lian-Cheng, ZHANG Jun-Wei, QI Ping, YANG Yu-Qin. A 3D geological modeling technology using multivariate geoscience information for exploration of sandstone-type uranium deposits. Geophysical and Geochemical Exploration, 2025, 49(3): 631-641.
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