西藏甲玛铜多金属矿储量估算的新方法

西藏甲玛铜多金属矿的钻孔分析数据多呈条带状分布,采用协同克里格法对这种条带状数据进行插值时,易出现端点数据权值偏大的情况。笔者介绍了协同克里格算法的相关理论,以此为基础,对端点数据的权值进行校正,使越远的数据点权值越小,并且给出了校正算法的程序代码。以2012年甲玛矿区勘探工程的Cu含量数据为例,分别进行了协同克里格法插值和权值校正的协同克里格法插值,实验结果表明,权值校正的协同克里格法能取得更为良好的效果,对于西藏甲玛铜多金属矿的地质属性、储量估算等空间数据建模具有重要意义。

A new resource estimation method for the Jiama polymetallic copper deposit in Tibet

The analytical data of drill holes from the Jiama polymetallic copper deposit exhibit striped distribution. When Cokriging is used for these striped data, the outlying data in the stripe frequently receive higher weights than all other data. This paper first intro?duced the relevant theory of Cokriging algorithm, then corrected the weight of outlying data in the stripe based on Cokriging algorithm with the purpose of making outlying data receive smaller weights, and finally presented the program of the correction algorithm. With the grade data of Cu in the Jiama ore district obtained in 2012 as an example, the authors calculated Cokriging and Cokriging of weight cor?rection respectively. The results show that the Cokriging of weight correction can achieve the better effect and hence it is important for the modeling of geological properties, reserves estimation and spatial data of the Jiama polymetallic copper deposit in Tibet.