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金属矿山 ›› 2007, Vol. 37 ›› Issue (10): 78-80+96.

• 地质与测量 • 上一篇    下一篇

基于三维稳健克立格法的品位建模

周智勇,陈建宏,张涛,欧阳海鸥,王斌   

  1. 中南大学
  • 出版日期:2007-10-15 发布日期:2012-02-28
  • 基金资助:

    * 中南大学米塔尔学生创新创业项目(编号:05M010);中南大学研究生教育创新工程立项项目(编号:76230);全国优秀博士论文资助项目(编号:200449)。

Grade Modeling Based on Three-Dimension Robust Kriging Method

Zhou Zhiyong,Chen Jianhong,Zhang Tao,Ouyang Haiou,Wang Bin   

  1. Central South University
  • Online:2007-10-15 Published:2012-02-28

摘要: 针对传统实验变异函数计算公式对特异值及偏离假设分布反应敏感的问题,引入了在三维情况下实验变异函数计算的稳健统计学方法及单纯型拟合算法。通过组合样及矿化空间的变异函数分析,确定了模型数据的各向异性特征,并采用了相应的数据搜索及岩性推估方法。在此基础上,以三维块段建模方式及稳健克立格法建立了某矿山铁元素的品位模型。最后对估值结果与实际矿床进行了比较,其结果表明了所建模型的准确性。

关键词: 三维变异函数, 稳健统计学, 克立格法, 品位建模

Abstract: In view that the traditional test formula of variogram function is sensitive to specificity values and the deflection from distribution assumption, robust statistics method and simplex fitting arithmetic for the test variogram function under three dimension condition are introduced. Through the analysis of the variogram function of the composite sample and mineraization space, the anisotropy characteristic of model data is determined and the corresponding data searching and estimation method for lithology are used. Based on this, the grade model of the iron element of a mine is established by 3D block modeling and robust Kriging method. The comparison of the estimation results and the real deposit condition has proved the accuracy of the model.

Key words: 3D variogram function, Robust statistics, Kriging method, Grad modeling