储量估算中特高品位识别与处理方法研究  

Study on Identification and Handling of Extra-high grade Value in Reserve Estimation

作　　者：任萌[1] 胡乃联[1] 李国清[1] 杨桦[1] 

机构地区：[1]北京科技大学金属矿山高效开采与安全教育部重点实验室,北京100083

出　　处：《矿业研究与开发》2014年第3期112-117,共6页Mining Research and Development

基　　金：国家自然科学基金项目(51104010);中央高校基本科研业务费专项资金资助(FRF-SD-12-001A)

摘　　要：特高品位对贵重金属矿和有色金属矿的储量估算有重大影响,为了满足地质统计学方法估算时对数据正态分布的要求,需要对特高品位进行识别和数据预处理。以某大型钼矿地质勘探数据作为研究背景,对传统方法(TM)、经典数理统计方法(CMSM)、影响系数法(ICM)和估计领域法(ENM)等4种特高品位识别与处理方法进行对比分析研究,发现估计邻域法识别与处理特高品位的结果最优,为了满足储量估算的要求,又对估计领域法进行了改进。研究结果表明,采用改进后的估计领域法(ENM)对该大型钼矿进行特高品位识别与处理,其结果最优,最接近于标准正态分布,因而其储量估算的精度也最高。The extra-high grade affects the reserve estimation of the precious metal ore and the non-ferrous metal ore seriously. Thus, the extra-high grade identification and data preprocessing were necessary to achieve a normal distribution when estimating with the geological statistics method. The commonly used estimating methods included the Traditional Method （TM）, the Classical Mathematical Statistics Method （CMSM）, the Influence Coefficient Method （ICM） and the Estimate Neighborhood Method （ENM）. After analysis and comparison on the four methods using the geophysical data of a large molybdenum ore, it was found that the ENM worked best. And some improvement was undertaken on the ENM to satisfy the requirement of the reserve estimation. Identification and preprocess on the extra-high grade of the large molybdenum ore showed that the advanced ENM had obtained the best calculation result, which was the closest to the standard normal distribution, with the highest precision of the reserve estimation.

关 键 词：储量估算 特高品位 估计领域法 地质统计学 对数正态克里格法 

分 类 号：TD98[矿业工程—选矿]