文章摘要
基于地质统计学的关宝山铁矿品位模型基础储量估算
Basic Reserves Estimation of the Guanbaoshan Iron Ore Grade Model Based on Geostatistics
投稿时间:2016-03-17  
DOI:10.16018/j.cnki.cn32-1650/n.201603009
中文关键词: 地质数据库  地质构造模型  矿体实体模型  实验半变异函数  数学模型  交叉验证  距离幂次反比法
英文关键词: geological database  geological structure model  physical model of ore body  experimental semivariogram  mathematical model  cross validation  distance power inverse ratio method
基金项目:
作者单位
王瑜 鞍钢集团矿业设计研究院, 辽宁 鞍山 114004 
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中文摘要:
      以鞍钢集团所属关宝山铁矿为例,运用地质统计学相关原理建立地质数据库、地质构造模型、矿体实体模型和实验半变异函数、拟合实验半变异函数的数学模型,然后进行交叉验证,证明估计的无偏性。结果表明:在数据不充足的情况下,地质统计学在矿床品位估计方面可以作为对“距离幂次反比法”的一种补充。
英文摘要:
      Take Guanbaoshan iron mine which belongs to Ansteel as an example, the mathematical model of geological database, geological structure model, physical model of ore body, experimental semivariogram, and fitting experimental semi variation function are established by using the theory of geological statistics. Then cross validation is carried out to prove the unbiasedness of estimator. The results show that in the case of insufficient data, the geological statistics can be used as a supplement to the "distance power inverse ratio method".
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