基于距离幂次反比(IDW)法进行资源量估算的应用研究

Application of resource estimation based on the Inverse Distance Weighting(IDW) method

资源量估算为矿山开发和中长期规划提供重要的基础数据,资源量的可靠程度对矿山生产组织有着巨大影响。资源量估算的核心问题是如何确定参与估值的样品数据及其权重。传统距离幂次反比法的圈矿及估值过程缺少定量化,可能会影响估值的准确性和可重现性。本文基于矿块指标体系,提出一套改进的IDW估值新方法,通过引入分形分析、边界分析和变异函数分析等技术,来圈定资源量估算的矿化域、确定最终的估算域以及定量化估值关键参数。在刚果(金)绿纱铜钴矿床的探采对比结果显示,采用改进方法估算资源量与实际采出矿量在铜矿石量、金属量、平均品位的差异分别为6.33%、6.74%、0.44%,验证了方法的可靠性。改进的IDW方法为资源量估算提供了新的思路,减少了人为干扰,提高了估值过程的定量化水平,也为块矿指标体系下估值方法及参数的确定提供了统计上的依据。

Resource estimation provides important base for the mine development and the medium-and longterm planning.The reliability of resource estimation has great influence on mine production.The key issues of resource estimation are how to determine the data of sample participating the estimation and their weights.The work flow of the traditional Inverse Distance Weighting(IDW)method is short of quantification and might affect the accuracy and reproducibility of the estimation.In this paper,based on the ore block index system,the mineralization domain delineation, estimation domain determination and quantitating of the key estimationparameters are improved by introducing the fractal analysis, boundary analysis and variogram analysis. The minereconciliation of Luishia Cu-Co deposit D R Congo shows that the difference between the estimated resources andthe actual mined resources in ore tonnage, copper metal and the average grades are 6. 33%, 6. 74% and 0. 44%,respectively, which verifies the reliability of the method. The improved IDW method presents a new idea forresource estimation, reduces human interference and improves the quantification level of the estimation process,and also provides a statistical basis for the determination of the estimation method and parameters under the oreblock index system.