| 广东省仁化县书楼丘铀矿床三维地质建模及成矿预测 |
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| 引用本文： | 俞嘉嘉.广东省仁化县书楼丘铀矿床三维地质建模及成矿预测[J].地质与勘探,2021,57(2):305-314. |
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| 作者姓名： | 俞嘉嘉 |
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| 作者单位： | 核工业北京地质研究院，北京； 东华理工大学核资源与环境国家重点实验室，江西南昌 |
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| 基金项目： | 中核集团“华南富大铀矿空间定位条件与远景预测研究”（编号：地D2002）和
“典型矿床深部及外围三维定量预测技术研究”（编号：地LTD1602-4）联合资
助。 |
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| 摘 要： | 综合地质、地球化学等资料进行多元信息成矿预测是目前深部固体矿产主要工作方法。广东仁化县书楼丘铀矿床位于诸广南铀矿田北部,是诸广南铀矿田重要的组成之一。本次为了拓宽书楼丘矿床深部找矿思路,探讨其找矿潜力,在前人研究和勘探基础上,总结了矿床综合信息找矿模型,以三维定量预测研究理论基础,根据矿床成矿条件和找矿标志特征,提取地质、化探、钻探资料的成矿有利信息,并利用COCAD软件构建了地形-地表、岩体、构造、矿体等地质模型,对信息进行综合成矿有利分析,运用信息量法进行研究区深部矿产资源预测,共圈定了3片靶区。
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| 关 键 词： | 地质建模 三维预测 信息量法 书楼丘矿床 仁化县 广东 |
| 收稿时间： | 2020/5/16 0:00:00 |
| 修稿时间： | 2020/10/22 0:00:00 |
3D geological modeling and metallogenic prediction of the Shulouqiu uranium deposit in Renhua County, Guangdong Province |
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| Yu Jiajia.3D geological modeling and metallogenic prediction of the Shulouqiu uranium deposit in Renhua County, Guangdong Province[J].Geology and Prospecting,2021,57(2):305-314. |
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| Authors: | Yu Jiajia |
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| Institution: | Beijing Resources Institute of Uranium Geology, Beijing; Key Laboratory of Nuclear Resources and Environment, Nanchang, Jiangxi |
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| Abstract: | Multi-information mineralization prediction based on geological, geochemical and others data is the main working method for deep solid minerals. In order to broaden the prospecting ideas in the depth of Shulouqiu deposit and discusses its prospecting potential, on the basis of previous research and exploration, the comprehensive information prospecting model for ore deposits is summarized.This work builds on the theory of 3D quantitative prediction, metallogenic conditions and characteristics of prospecting marks, to extract favorable information of mineralization from geological, geochemical and drilling data.Using the GOCAD software, geological models are constructed, which characterize the surface-topography, rock mass, structure, and orebody, respectively. The favorable information of mineralization is analyzed, mineral resources at depth are predicted using the information value method, and three target areas are delineated in the study area. |
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| Keywords: | geological modeling 3D prediction information value method Shulouqiu uranium deposit Renhua Guangdong Province |
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