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江西桃山罗布里南部地区三维地质建模与成矿预测
引用本文:周邓, 曾广亮, 王洪荣, 赵陟君, 王乐. 江西桃山罗布里南部地区三维地质建模与成矿预测[J]. 地质通报, 2022, 41(12): 2256-2264. doi: 10.12097/j.issn.1671-2552.2022.12.015
作者姓名:周邓  曾广亮  王洪荣  赵陟君  王乐
作者单位:1.东华理工大学江西省数字国土重点实验室, 江西 南昌 330013; 2.江西省核工业地质调查院, 江西 南昌 330038
基金项目:江西省数字国土重点实验室开放基金项目《江西省桃山矿田罗布里南部三维地质建模研究》(编号: DLLJ201912)和江西省财政出资地质勘查项目《江西省宁都县温水岭铀矿普查项目》(编号: 20210044)
摘    要:三维地质建模技术是中国"玻璃地球"战略的支撑技术之一, 对推动国家资源的可持续发展具有重要的现实意义。基于3Dmine建模平台和前人研究成果, 以钻孔、勘探线剖面等资料为依据, 初步建立了桃山罗布里南部地区的地质数据库和三维地质模型。基于Visualstat地质统计模块, 分析样品点文件, 确定长轴、次轴与短轴参数, 寻求实验半变异函数, 再通过验证与模拟确定变异函数。最后, 利用克里格法对空块模型赋值, 建立了基于三维建模的罗布里南部地区三维预测体系, 探讨了"立方体预测模型"找矿方法的可行性, 初步把建模区变量类型划分为矿体赋存岩体变量、碎裂蚀变带变量和铀克里格品位估值变量, 并且分别对这3类主要变量进行立方体单元的划分与提取。最终用数理统计的方法计算, 圈定了找矿靶区位置, 预测成矿概率为65.60%。

关 键 词:三维地质建模   3Dmine建模平台   Visualstat地质统计   成矿预测   找矿靶区   江西
收稿时间:2020-08-28
修稿时间:2020-09-28

Three dimensional geological modeling and metallogenic prediction in the south of Luobuli,Taoshan, Jiangxi Province
ZHOU Deng, ZENG Guangliang, WANG Hongrong, ZHAO Zhijun, WANG Le. Three dimensional geological modeling and metallogenic prediction in the south of Luobuli, Taoshan, Jiangxi Province[J]. Geological Bulletin of China, 2022, 41(12): 2256-2264. doi: 10.12097/j.issn.1671-2552.2022.12.015
Authors:ZHOU Deng  ZENG Guangliang  WANG Hongrong  ZHAO Zhijun  WANG Le
Affiliation:1.Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, Nanchang 330013, Jiangxi, China; 2.Jiangxi Institute of Nuclear Industry Geology, Nanchang 330038, Jiangxi, China
Abstract: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%.
Keywords:the 3D geological modeling  3Dmine modeling platform  the geological statistics of Visualsta  metallogenic prediction  prospecting target area  Jiangxi Province
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