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

发布时间：2018-05-27 09:18

本文选题：三维地质建模 + 多源数据融合　；参考：《岩石学报》2017年03期

【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。
[Abstract]:Mineral resources are the fundamental material guarantee for human survival and social progress. In recent years, with the increasing depletion of surface mineral resources and shallow mineral resources, the prediction of deep mineral resources using new techniques and methods has become the main research direction of geological exploration. The 3D geological modeling technology, which is based on digitization, 3D visualization and mineral quantitative prediction, provides a powerful tool for the future prediction and prospecting of mineral resources. Based on the research of modern metallogenic prediction theory, the 3D geological modeling technology is used to establish the geological, geophysical, geochemical, drilling and other 3D models of Xiayuandong mining area in the Qinghang metallogenic belt, which reveals the tectonic geological characteristics in the area. Geochemical anomalies and strata rock mass elements are characterized, and the genesis and distribution characteristics of ore bodies are discussed. On this basis, the method of weight of evidence is used to fuse the geological, geophysical, geochemical and other multi-source information in the study area, and the fault buffer zone and geochemical anomalies are used. The sedimentary rocks and strata of the Donggangling formation are used as evidence factors to calculate the posteriori probability of ore-forming in unit volume, to carry out the three-dimensional metallogenic prediction, and to delineate the ferromanganese ore, the sphalerite, and the sphalerite. It is estimated that the total reserves of mineral resources in the prediction area are 88710 tons. The results show that comprehensive analysis of geology, geophysics, geochemistry and borehole data for 3D geological spatial positioning and quantitative prediction can effectively identify the abnormal ore-induced information and delineate the prospecting areas. This method can be applied to other mines.
【作者单位】：中山大学;国家超级计算广州中心;广东省地质过程与矿产资源探查重点实验室;
【基金】：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) 高校基本科研业务费中山大学科研助手计划联合资助
【分类号】：P618.4

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