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基于地质统计学的资源储量估算参数优选研究 被引量:9

Parameter Optimization for Geostatistical Ore-reserve Estimation
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摘要 借助DIMINE矿业软件,综合运用普通克里格法和距离幂次反比法建立了某矿床钻孔数据库、矿体模型和品位块段模型,采用空间多扇区逐步搜索法获得组合样Au品位的实验变异函数,选择球状模拟进行拟合获取理论变异函数参数。针对不同储量估算方法、椭球体搜索方式、搜索距离和有无次级分块等条件,采用正交试验方法,优选6种资源储量估算方案进行估值,获得不同方案的Au品级-矿石量和Au品级-Au品位分布曲线。结果表明:采用各向异性距离能反映品位分布的各向异性;有次级分块估算的矿石量更准确;根据变程进行椭球体分次搜索可有效避免品位均化。研究成果可为基于地质统计学的矿床资源储量估算方法提供指导。 Based on the study of ordinary Kriging and two kinds of distance power inverse ratio method, a mineral drillhole database, orebody modeling and block modeling were all constructed for a mineral deposit using mining software of DIMINE. The experimental variograms of Au-grade of composite samples were calculated by gradual search method for multi-sector space, to which spherical module was used to be fitted, resulting in the theoretical variogram. Six kinds of mineral reserves estimation were selected for evaluation by orthogonal tests in terms of different reserve estimation methods, ellipsoid methods, ellipsoidal distance and sub-blocking. As a result, curves of Au ratings-ore tonnage and Au ratings-Au grade of different reserve estimation were obtained. After comparison and analysis of the results, it is concluded that: anisotropic distance can be used to reflect the anisotropy of metal grade distribution, more accurate ore tonnage estimation can be obtained by using sub-blocking, and grade homogenization can be avoided by using search ellipsoid based on process change. This research result can provide guidance for geostatistical ore-reserve estimation.
出处 《矿冶工程》 CAS CSCD 北大核心 2015年第2期23-28,共6页 Mining and Metallurgical Engineering
基金 国家高技术研究发展计划(863计划)项目(2011AA060407) 国家自然科学基金项目(51374242) 中国博士后科学基金资助项目(2012M511417) 中国矿业大学煤炭资源与安全开采国家重点实验室开放研究基金资助项目(11KF02)
关键词 地质统计学 DIMINE 各向异性 搜索椭球体 资源储量估算 geostatistics DIMINE anisotropy search ellipsoid mineral reserve estimation
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