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全国重要矿产资源潜力评价一些基本预测理论方法的进展
引用本文:肖克炎,娄德波,孙莉,李景朝,叶天竺.全国重要矿产资源潜力评价一些基本预测理论方法的进展[J].吉林大学学报(地球科学版),2013,43(4):1073-1082.
作者姓名:肖克炎  娄德波  孙莉  李景朝  叶天竺
作者单位:1.中国地质科学院矿产资源研究所,北京100037; 2.长江大学地球物理与石油资源学院,湖北 荆州434000; 3.中国地质调查局发展研究中心,北京100037
基金项目:中国地质调查局地质大调查项目,中央公益性科研院所基本科研业务费专项资金项目
摘    要:全国25种重要矿产资源潜力评价工作是迄今为止投入最多的矿产预测评价工作,采用的技术方法是基于矿床模型的综合地质信息预测方法。预测工作针对矿产预测的基本问题,如地质工作的不平衡性、三维预测、定量预测与定性预测结合、地物化遥综合预测等问题进行有益探索,提出了新的解决方案。以矿产预测类型为纲,开展建造构造编图,将建造与成矿环境结合;通过矿产预测类型的成矿模式、预测要素研究构建定量预测模型;通过成矿地质体地质参数法预测实现二维到三维的定量预测。

关 键 词:预测问题  矿床模型  三维预测  地质参数  定量预测  矿产资源  
收稿时间:2012-11-09

Some Progresses of Mineral Prediction Theory and Method in Important Mineral Resource Potential Assessment of China
Xiao Keyan,Lou Debo,Sun Li,Li Jingchao,Ye Tianzhu.Some Progresses of Mineral Prediction Theory and Method in Important Mineral Resource Potential Assessment of China[J].Journal of Jilin Unviersity:Earth Science Edition,2013,43(4):1073-1082.
Authors:Xiao Keyan  Lou Debo  Sun Li  Li Jingchao  Ye Tianzhu
Institution:1.Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing100037,China;
2.Geophysics and Oil Resource Institute,Yangtze University, Jingzhou434000,Hubei,China;
3.Centre of Development and Research,CGS,Beijing100037,China
Abstract:The mineral potential assessment of 25 important mineral resources has been the most important prediction by far in China. In this projection, methods of deposit model and integrated geological information are used to predict mineral resource potential. Some methods are put forward to solve some difficulties in mineral prediction such as lack of unbalance of geological works, 3D prediction, integration of qualitative prediction with quantitative prediction, as well as data integration of geology, geophysics, geochemistry and remote sensing. During the prediction work, we put forward some methods as followings. Firstly, sedimentary formation is linked with metallgenitic settings by using type of mineral prediction to compile Formation-Tectonic map. Secondly, the quantitative prediction model can be founded by studies on deposit model and prediction factors. Thirdly, the transformation from 2D to 3D is completed by using geological parameter volume method to estimate resources.
Keywords:prediction difficulties  deposit model  3D prediction  geological parameter  quantitative prediction  mineral resource
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