中文摘要:在详细分析各种勘查资料、综合利用地质科研成果的基础上开展预测与评价，查明研究区内矿产资源总量及其质量状况，对科学地指导进一步的矿产普查、勘探和深部评价工作，合理开发矿产资源，保证矿产资源的可持续利用，无疑具有十分重要的意义。矿产资源预测与定量评价是涉及多层次、多因素的综合决策问题，已经发展和应用了许多方法和技术来进行这方面的研究。随着计算机技术和信息处理技术的发展，近来矿产资源定量评价向综合化、模式化、定量化、可视化、动态化、系统化转移。文章根据实例分析，研究了矿产资源预测及质量评价的某些方法。在已有的成矿地质模型基础上，利用信息量法和逻辑矢量长度法等方法筛选与成矿密切相关的地质变量。根据它们对成矿的贡献，建立成矿有利度预测模型并依此圈出有利成矿区。运用丰度法、吉波夫法和逆推法等方法估算预测区的资源总量，以各成矿区的成矿有利度和面积为权将资源总量进行分配。经保矿系数校正后，圈定远景区并对预测资源迸行质量评价。
Abstract:The prediction and quantitative assessment of mineral resources make up a comprehensive decision- making problem which involves multi-levels and multi-factors, and a lot of methods and technological means have been developed and employed to carry out the research in this respect. Along with the development of computer technology and information-processing technology, the quantitative assessing technology for mineral resources has some new trends recently, such as integration, modeling, quantification, visualization, dynamic analysis, and systematization. Following case studies, this paper has conducted the research on the methods and processes of resources prediction and qualitative evaluation. Using the methods of Information Quality and Logistic Analysis, the authors selected some geological variables closely related to mineralization on the basis of the metallogenetic model. In the light of the different contribution degrees of the geological variables to mineralization, the predicting model of metallogenetic favorable degree was constructed and some favorable minerogenetic areas or zones were delineated in the district. The total resource amount in the predicted district was estimated by such methods as Abundance, Gibboff and Conversion, and was allotted to corresponding favorable areas according to their metallogenetic favorable degrees and areas. With the correction of the ore-preserving coefficients, some prosperous sectors were olrtained in the favorable areas. By qualitative evaluation of predicted resources in the prospect areas ,the useful resources were confirmed.
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基金项目:国家自然科学基金项目（编号：40002024）、教育部科学技术重点项目(编号：99003)、国土资源部矿产资源定量预测与勘查评价实验室和非传统矿产资源开放研究实验室及CNPC储层重点实验室资助
引用文本：
肖 斌，潘懋，赵鹏大，王京贵，隆盛银.2001.矿产资源定量评价在火山岩铀资源中的应用研究[J].矿床地质,20(3):285~291.2001.The Application of the lVf.neral Quantitative Evaluation Methods to the Study of Igneous-rock Uranium Resources[J].Mineral Deposits20(3):285~291
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