信息不对称条件下的矿产资源三维预测评价——以陕西小秦岭金矿田为例

发布时间：2018-06-06 10:45

本文选题：金矿 + 信息不对称　；参考：《金属矿山》2017年08期

【摘要】：三维实体建模是三维矿产定量预测的前提,三维模型的准确性、合理性是三维定量预测的基本要求,而信息不对称问题对于三维实体建模精度及后续预测评价带来了极大的不确定性。以陕西小秦岭金矿田为例,以地质-地球物理综合解译剖面为依据,采用Surpac面元建模法降低三维实体模型的不确定性。在综合分析研究区成矿条件、成矿规律的基础上,建立了地质找矿模型,提取了成矿有利信息,圈定了13个成矿有利靶区,并采用找矿概率法估算出了Au资源量914.6 t。研究表明:虽然信息不对称问题普遍存在,但基于地质-地球物理综合解译剖面,通过面元建模法可较大程度地降低不确定性,有助于对区内深部矿产资源进行高精度三维预测评价。
[Abstract]:3D solid modeling is the premise of 3D mineral quantitative prediction. The accuracy and rationality of 3D model are the basic requirements of 3D quantitative prediction. The information asymmetry problem brings great uncertainty to the accuracy of 3D solid modeling and subsequent prediction evaluation. Taking the Xiaoqinling gold ore field in Shaanxi as an example, the uncertainty of 3D solid model is reduced by using Surpac panel modeling method based on the comprehensive interpretation profile of geology and geophysics. On the basis of comprehensive analysis of metallogenic conditions and metallogenic rules in the study area, a geological prospecting model was established, favorable ore-forming information was extracted, 13 favorable ore-forming targets were delineated, and the amount of au resources estimated by the method of prospecting probability was 914.6 t. The results show that although the problem of information asymmetry is widespread, the uncertainty can be greatly reduced by using the method of panel modeling based on the comprehensive interpretation of the section by geological and geophysical methods. It is helpful for high precision 3D prediction and evaluation of deep mineral resources in this area.
【作者单位】：中国地质大学(北京)地球科学与资源学院;北京市国土资源信息开发研究重点实验室;
【基金】：国家重点基础研究发展计划(“973”计划)项目(编号:2012CB416605) 国家重点研发计划项目(编号:2017YFC0601502)
【分类号】：P618.51

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