区域矿产定量评价的矿床综合信息评价模型  

Integrated information evaluation model for regional mineral resources quantitative assessment

作　　者：肖克炎[1] 程松林 娄德波[1] 孙莉[1] 

机构地区：[1]中国地质科学院矿产资源研究所,北京100037 [2]新疆地勘局第六地质大队,新疆哈密839000

出　　处：《地质通报》2010年第10期1430-1444,共15页Geological Bulletin of China

基　　金：中国地质调查局项目<全国重要矿产总量预测>(编号:1212010733806);中央公益性科研院所基本科研业务费专项资金项目<东天山铜镍硫化物矿产资源潜力评价方法研究>(编号:K0908)资助

摘　　要：控制矿床生成的地质要素和识别矿床存在的勘查信息对区域矿产预测评价是至关重要的。矿床综合信息评价模型要从传统的矿床模型出发,将其总结和转化为区域预测评价的控矿关键预测要素,研究识别矿床存在的物、化、遥勘查信息,开展矿床品位-吨位统计特征研究,形成预测评价的要素集,进行矿产预测。Geological factors that control ore-forming and exploration information that identifies deposit are very important for regional mineral prediction and assessment. Based on traditional metallgentic model, critical ore-forming factors were summarized. We researched and identified geophysical, geochemical, remote sensing information of deposit, and conducted statistical characteristics of grade-tonnage. Therefore we had a series of factors and thus could be used for resource prediction.

关 键 词：矿床 模型 定量预测 要素 

分 类 号：P612[天文地球—矿床学]