摘要
热液型矿床中的含矿热液是矿床形成的先决条件,构造是含矿热液的通道,也为成矿提供有利空间。地层是决定热液型矿床的重要条件,它不仅影响矿物的沉淀,也影响成矿作用方式、矿体规模和矿石物质成分。以云南个旧新山勘查区为例,总结了该勘查区的成矿模型,提出了一种基于正反演联合预测的新方法。致矿地质异常的正演通过构建应力场-热力场-流体渗流场的耦合模型来分析地质过程和成矿机制。矿致地质异常的反演则通过对与成矿有关的岩浆、构造、地层采用"立方体模型"定量化分析,利用证据权法确定了研究区的有利成矿远景区。最后,通过统计正演和反演得到的远景区的公共部分进行靶区选定。研究结果表明,正反演技术在成矿预测中应用能加深对成矿过程和成矿空间的认知,提高成矿预测的精度,对寻找深部矿体具有指导意义。
Ore-bearing hydrothermal solution is a prerequisite for the formation of hydrothermal type deposits,and structure acts as the conduit of ore-bearing hydrothermal solution which provides favorable space for the mineralization.Strata affect not only the precipitation of minerals but also mineralization modes,orebody scale and ore components,which are an important factor for hydrothermal type deposits.Taken the Xinshan exploration area as an example,this study summarized the metallogenic model,and proposed a new method based on forward and inverse forecasting.The forward of ore-generating geological anomalies is done by constructing stress-thermalfluid percolation coupling process to analyze the geological evolution process and metallogenic mechanism.The inverse of ore-generating geological anomalies is realized by building magma,structure and stratum and then quantitative analysis by the theory of ″Cube prediction model″.We determined ore prospective areas by the weights of evidence method,and delineated prospecting target areas through the superposition of ore prospective areas obtained by forward and inverse.The results show that the application of the forward and inverse methods can enhance the cognition of mineralization processes and mineralization space,and improve the accuracy of metallogenic prediction,which have guiding significance for discovering deep orebodies.
出处
《地质学刊》
CAS
2015年第3期481-490,共10页
Journal of Geology
基金
国土资源部公益性行业科研专项经费项目"我国找矿科研基地规范与关键技术应用示范"(201011002)
"找矿科研基地三维数字矿山建模技术应用示范"(201011002-10)
关键词
三维建模
致矿地质异常
矿致地质异常
正反演技术
隐伏矿体预测
云南个旧
three-dimensional modeling
ore-generating geological anomaly
forward and inverse technology
prediction of concealed orebodies
Gejiu in Yunnan Province
