Quantitative analysis of geological ore-controlling factors and stereoscopic quantitative prediction of concealed ore bodies

被引:0
|
作者
Xian-cheng Mao
Yan-hong Zou
Xiao-qin Lu
Xiang-bin Wu
Ta-gen Dai
机构
[1] Central South University,School of Geoscience and Environmental Engineering
[2] Central South University,Key Laboratory of Metallogenic Prediction of Non
来源
Journal of Central South University of Technology | 2009年 / 16卷
关键词
geological ore-controlling factor; concealed ore body; stereoscopic prediction;
D O I
暂无
中图分类号
学科分类号
摘要
To address the issues for assessing and prospecting the replaceable resource of crisis mines, a geological ore-controlling field model and a mineralization distribution field model were proposed from the viewpoint of field analysis. By dint of solving the field models through transferring the continuous models into the discrete ones, the relationship between the geological ore-controlling effect field and the mineralization distribution field was analyzed, and the quantitative and located parameters were extracted for describing the geological factors controlling mineralization enrichment. The method was applied to the 3-dimensional localization and quantitative prediction for concealed ore bodies in the depths and margins of the Dachang mine in Guangxi, China, and the 3-dimensional distribution models of mineralization indexes and ore-controlling factors such as magmatic rocks, strata, faults, lithology and folds were built. With the methods of statistical analysis and the non-linear programming, the quantitative index set of the geological ore-controlling factors was obtained. In addition, the stereoscopic located and quantitative prediction models were set up by exploring the relationship between the mineralization indexes and the geological ore-controlling factors. So far, some concealed ore bodies with the resource volume of a medium-sized mineral deposit are found in the deep parts of the Dachang Mine by means of the deep prospecting drills following the prediction results, from which the effectiveness of the predication models and results is proved.
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页码:987 / 993
页数:6
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