| 基于成矿过程数值模拟的隐伏矿双向预测研究 |
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| 引用本文： | 安文通,陈建平,朱鹏飞.基于成矿过程数值模拟的隐伏矿双向预测研究[J].地学前缘,2021,28(3):97-111. |
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| 作者姓名： | 安文通 陈建平 朱鹏飞 |
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| 作者单位： | 中国地质大学(北京)地球科学与资源学院,北京100083;北京市国土资源信息研究开发重点实验室,北京100083;核工业北京地质研究院,北京100029 |
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| 基金项目： | 国家重点研发计划重点专项“深部成矿地质异常定量预测方法与模型”(2017YFC0601502);中核集团龙灿工程(二期)科研项目“二连基地砂岩型铀矿地质数据平台和大数据找矿预测”(地LCEQ03) |
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| 摘 要： | 在三维建模及定量预测的基础上,利用数值模拟开展成矿过程研究,通过数值模拟获取可用于隐伏矿预测的参数,据此建立一套完整的基于矿床学成矿过程研究和矿产勘查学综合信息找矿研究的隐伏矿双向预测评价方法和流程。结合甘肃以地南金矿探讨大比例尺隐伏矿体三维地质建模过程、三维定量预测、成矿过程数值模拟和双向预测评价的方法体系。采用三维定量预测理论和数值模拟双向预测的方法在示范区综合圈定7个预测靶区,在三维定量预测评价过程中分别采用证据权重和信息量的方法计算单元块体的找矿概率,在成矿过程数值模拟过程中分别利用块体的空隙压力值(pp值)和体积应变值(vsr值)圈定有利成矿部位。应用实例表明采用基于成矿过程数值模拟的隐伏矿双向预测方法开展深部隐伏矿的预测评价可有效降低矿产预测过程中的不确定性,实现对矿产资源的“定位-定量-定概率”预测评价。
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| 关 键 词： | 三维定量预测 数值模拟 隐伏矿体 双向预测 |
| 收稿时间： | 2021-01-10 |
A two-way forecasting method based on numerical simulation of mineralization process for the prediction of concealed ore deposits |
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| AN Wentong,CHEN Jianping,ZHU Pengfei.A two-way forecasting method based on numerical simulation of mineralization process for the prediction of concealed ore deposits[J].Earth Science Frontiers,2021,28(3):97-111. |
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| Authors: | AN Wentong CHEN Jianping ZHU Pengfei |
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| Institution: | 1. School of Earth Sciences and Resources,China University of Geosciences (Beijing), Beijing 100083, China2. Beijing Key Laboratory of Land Resources Information Research & Development, Beijing 100083, China3. Beijing Research Institute of Uranium Geology, Beijing 100029, China |
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| Abstract: | In this paper, we propose a two-way forecasting method for locating blind orebodies based on numerical simulation of mineralization process and 3D quantitative predication. The parameters used in predicting blind orebodies were obtained by numerical simulation, and the methodology involves 3D geological modeling of large-scale blind orebodies, 3D quantitative prediction, numerical simulation, and two-way forecast and evaluation. Using this novel forecasting method, we established seven favorable prospective targets in a project test zone of the Yidinan gold deposit in Gansu Province. In the 3D quantitative prediction, we calculated the ore-forming probabilities of prospective blocks using the techniques of weigh of evidence and information value; by numerical simulation of mineralization process, we delineated the metallogenic favorable area based on the simulated distributions of prospective blocks with favorable pore pressures (pp values) and volumetric strain rates (vsr values). These application results show that using the two-way forecasting method can effectively reduce prediction uncertainty in the deep blind orebody prediction and evaluation. |
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| Keywords: | 3D quantitative prediction numerical simulation mineralization process two-way forecasting |
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