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现代矿业 ›› 2011, Vol. 27 ›› Issue (11): 9-12+16.

• 采选工程 • 上一篇    下一篇

克里格资源储量估算法的影响因素分析及评价

陈道贵,李建锋,徐彦泽   

  1. 五矿勘查开发有限公司
  • 出版日期:2011-11-15 发布日期:2011-11-17

Analysis and Evaluation on Influence Factors of Kriging Estimation

Chen Daogui,Li Jianfeng,Xu Yanze   

  1. Minmetals Exploration & Development Co.,Ltd.
  • Online:2011-11-15 Published:2011-11-17

摘要: 资源、储量风险是影响矿业投资风险性的主要因素之一,因此提高储量估算的精确度,是降低投资风险的有力手段。在提高矿产资源/储量估计的可信、可靠度方面,克里格法已被国内外先进矿山普通使用和认可。从克里格方差计算理论解答式出发,分析了影响克里格估计的因素,提出了一套评价克里格方差影响因素权重的流程和方法。以某金矿为例,采用层次分析法构建了克里格方差影响评价模型和判断矩阵,并用MATLAB算法进行了相应的解算,得出了各影响因素的权重。多个矿山的储量估计实践证明,通过对关键影响因素的优化调控,能从本质上提高资源、储量估计精度。

关键词: 矿业软件, 资源、储量估计, 克里格方差, 影响因素分析, 层次分析法

Abstract: Resources/reserves risk is one primary impact factor of mining industry investment risk,therefore,improving the accuracy of reserves estimation is a powerful means to reduce the investment risk.On repect of enhancing credible / reliable precision of mineral resources/reserves estimation,Kriging had been used and recognized widely by advanced mines both at home and abroad.Based on the Kringing variance's computation theory equation,the impact factors of Kriging estimation were analyzed,a set of process and method of Kringing variance influence facotrs weighing evaluation was proposed.Took a gold mine as a example,Kriging variance influence evaluation model and judgment matrix were constructed by adopt analytical hierarchy process,and calculation was done by using MATLAB method,each weight of influence factors was obtained.Reserves estimation practice of many mines proved,through the optimized regulation of key influence factors,resources/reserves estimation precision could increased essentially.

Key words: Mining software, Resources/reserves estimation, Kringing variance, Influence factors analysis, AHP