西藏甲玛铜多金属矿储量估算的新方法  

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

作　　者：王琦标 蒋鑫[1] 庹先国[1,2] 毛小波[1] 李怀良[2] 

机构地区：[1]成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川成都610059 [2]西南科技大学核废物与环境安全国防重点学科实验室,四川绵阳621010

出　　处：《物探与化探》2015年第5期1001-1007,共7页Geophysical and Geochemical Exploration

基　　金：国家自然科学基金重大科研仪器设备研制专项(41227802);国家杰出青年基金(41025015)

摘　　要：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。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 introduced 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 correction 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.

关 键 词：储量估算 协同克里格法 条带状分布 权值校正 西藏甲玛铜多金属矿 

分 类 号：P632[天文地球—地质矿产勘探]