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。
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 func-tion are established by using the theory of geological statistics. Then cross validation is carried out to prove the unbiasedness ofestimator. The results shaw that in the case of insufficient data, the geological statistics can be used as a supplement to the "dis-tanee power inverse ratio method".
出处
《盐城工学院学报(自然科学版)》
CAS
2016年第3期40-45,共6页
Journal of Yancheng Institute of Technology:Natural Science Edition
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
geological database
geological structure model
physical model of ore body
experimental semivariogram
mathemati-cal model
cross validation
distance power inverse ratio method