ZHOU Deng, ZENG Guangliang, WANG Hongrong, ZHAO Zhijun, WANG Le. 2022: Three dimensional geological modeling and metallogenic prediction in the south of Luobuli, Taoshan, Jiangxi Province. Geological Bulletin of China, 41(12): 2256-2264. DOI: 10.12097/j.issn.1671-2552.2022.12.015
    Citation: ZHOU Deng, ZENG Guangliang, WANG Hongrong, ZHAO Zhijun, WANG Le. 2022: Three dimensional geological modeling and metallogenic prediction in the south of Luobuli, Taoshan, Jiangxi Province. Geological Bulletin of China, 41(12): 2256-2264. DOI: 10.12097/j.issn.1671-2552.2022.12.015

    Three dimensional geological modeling and metallogenic prediction in the south of Luobuli, Taoshan, Jiangxi Province

    • The 3D geological modeling technology is one of the supporting technologies of the Glass Earth in Chinese strategy, which has important practical significance to promote the sustainable development of national resources. Based on the 3Dmine modeling platform and previous research results, the geological database and three-dimensional geological model of the south of Luobuli in Taoshan are preliminarily established based on the data of drilling and exploration line profile. Based on the geostatistics module of visualstat, the parameters of major axis, minor axis and short axis are determined by analyzing the sample point file, and the semi variogram of experiment is sought, and then the variation function is determined through verification and simulation. Finally, the Kriging method is used to evaluate the empty block model, and the three-dimensional prediction system based on three-dimensional modeling is established in the south of Luobuli. The feasibility of the "cube prediction model" prospecting method is discussed. The variable types in the modeling area are preliminarily divided into three types: ore body occurrence variable, fracture alteration zone variable and uranium Kriging grade estimation variable. The variables are used to partition and extract the cube elements. Finally, the location of prospecting target area is delineated by mathematical statistics method, and the predicted metallogenic probability is 65.60%.
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