| 成矿区三维可视化与立体定量预测——以钦-杭成矿带庞西垌地区下园垌铅锌矿区为例 |
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| 引用本文： | 高乐,卢宇彤,虞鹏鹏,肖凡.成矿区三维可视化与立体定量预测——以钦-杭成矿带庞西垌地区下园垌铅锌矿区为例[J].岩石学报,2017,33(3):767-778. |
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| 作者姓名： | 高乐 卢宇彤 虞鹏鹏 肖凡 |
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| 作者单位： | 中山大学, 广州 510275;国家超级计算广州中心, 广州 510006;广东省地质过程与矿产资源探查重点实验室, 广州 510275,中山大学, 广州 510275;国家超级计算广州中心, 广州 510006,中山大学, 广州 510275;广东省地质过程与矿产资源探查重点实验室, 广州 510275,中山大学, 广州 510275;广东省地质过程与矿产资源探查重点实验室, 广州 510275 |
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| 基金项目： | 本文受国家重点研发计划项目（2016YFC0600506）、国家自然科学基金项目（41273040）、中国地质调查局项目（12120113067600）和高校基本科研业务费中山大学科研助手计划联合资助. |
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| 摘 要： | 矿产资源是人类生存与社会进步的根本物质保障。近年来,随着地表矿、浅部矿产资源的日益枯竭,采用新技术、新方法的深部矿产资源预测成为地质勘查的主要研究方向。基于数字化、三维可视化及矿产定量预测为主的三维地质建模技术,为当前矿产资源远景预测与找矿工作提供了有力的工具。本文在现代成矿预测理论研究基础上,运用三维地质建模技术建立了钦杭成矿带下园垌矿区地质、地球物理、地球化学、钻孔等三维模型,揭示了区内构造地质特征、地球化学异常表征及地层岩体要素,据此探讨了矿床的成因及矿体分布特征。并在此基础上,采用证据权方法对研究区地质、地球物理、地球化学等多源信息进行融合,运用断裂缓冲区、地球化学异常、东岗岭组沉积岩地层等为证据因子来计算单位体积成矿后验概率,进行立体成矿预测,并圈定出铁锰矿、方铅闪锌矿、铅锌银综合矿等3处找矿有利靶区及估算出预测区内矿产资源储量总量为88710吨。研究结果表明:综合分析地质、地球物理、地球化学及钻孔数据进行矿区的三维地质空间定位、定量预测研究,可以有效的识别矿致异常信息,圈定找矿远景区,为成矿预测研究领域提供了新方向,可以将此方法应用至其他矿山。
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| 关 键 词： | 三维地质建模 多源数据融合 证据权方法 成矿预测 钦杭成矿带 |
| 收稿时间： | 2016/6/13 0:00:00 |
| 修稿时间： | 2016/11/10 0:00:00 |
Three-dimensional visualization and quantitative prediction for mine: A case study in Xiayuandong Pb-Zn ore deposits, Pangxidong region, southern part of Qin-Hang metallogenic belt, China |
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| GAO Le,LU YuTong,Yu PengPeng and XIAO Fan.Three-dimensional visualization and quantitative prediction for mine: A case study in Xiayuandong Pb-Zn ore deposits, Pangxidong region, southern part of Qin-Hang metallogenic belt, China[J].Acta Petrologica Sinica,2017,33(3):767-778. |
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| Authors: | GAO Le LU YuTong Yu PengPeng and XIAO Fan |
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| Institution: | Sun Yat-sen University, Guangzhou 510275, China;National Supercomputer Center in Guangzhou, Guangzhou 510006, China;Guangdong Provincial Key Lab of Geological Process and Mineral Resource Survey, Guangzhou 510275, China,Sun Yat-sen University, Guangzhou 510275, China;National Supercomputer Center in Guangzhou, Guangzhou 510006, China,Sun Yat-sen University, Guangzhou 510275, China;Guangdong Provincial Key Lab of Geological Process and Mineral Resource Survey, Guangzhou 510275, China and Sun Yat-sen University, Guangzhou 510275, China;Guangdong Provincial Key Lab of Geological Process and Mineral Resource Survey, Guangzhou 510275, China |
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| Abstract: | Mineral resources are the material basis of human survival and the progress of human society. In recent years, with the reduction of shallow deposits, applying new technique and method to search for deposit become an important research direction. The three-dimensional geological modeling technology which based on digital, three-dimensional visualization and quantitative prediction of mineral provides a powerful tool for the current mineral ore prediction and exploration work. Based on the foundation of modern metallogenic prediction theory, this paper builds a three-dimensional geological model of the Pangxidong region, Qin-Hang metallogenic belt, which includes geology, geophysics, geochemistry, drilling and other geological characteristics. The model reveals the structure, geochemical anomaly characterization and formation rock elements, thus explores the genesis and distribution of ore deposits. Based on the previous geology, geophysics, geochemistry information, the weights-of-evidence method is used to calculate the prospecting posterior probability, make three-dimensional mineralization forecast and divide prospecting targets and estimates the target area of minerals. The fracture buffer area, geochemical anomaly and Donggangling sedimentary rock formation are used as evidence factors in the calculation. Three metallogenic targets including Fe-Mn ore, Pb-Zn ore and Pb-Zn-Ag ore were delineated, and the prediction of mineral resources is 88710 ton. The research results showed that a comprehensive analysis of geological, geophysical, geochemical and drilling data could help to locate the mineral ore body in the three-dimensional and make the quantitative mineral prediction. The method could effectively identify anomalies caused by mineral ore body and delineate of mineralization prospective areas which provides a new direction of the mineralization prediction research. This effective method could be easily applied to other mining areas. |
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| Keywords: | 3D modeling Multisensory data fusion Weights-of-evidence method Metallogenic prediction Qin-Hang metallogenic belt |
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