一种条带状铜多金属矿储量估算插值方法

目前铜多金属矿的钻孔分析数据多呈条带状分布，并且多金属之间相互影响，采用传统的协同克里格法对该类条带状分布的数据进行插值分析时，易出现端点数据权值偏大的现象，即条带状效应。对此，以协同克里格法为基础，提出了一种铜多金属矿储量估算插值方法，即权值校正的协同克里格插值方法。首先对原始钻孔数据进行统计分析、特异值处理以及样品组合处理，并对产生条带状效应的权值系数进行分析；然后采用拟牛顿法对协同克里格法插值得到的权值进行校正。以2012年西藏甲玛矿区勘探工程的铜多金属矿床钻孔品位数据为例进行储量估算，即以Cu品位为主区域化变量，Ag品位为协同区域化变量，计算了各自的试验变差函数和交差试验变差函数，并对协同克里格法以及权值校正的协同克里格法的插值效果进行了分析。结果表明，权值校正的协同克里格法插值效果较优，对于铜多金属矿的地质属性分析、储量估算具有一定的参考价值。

A Interpolation Method for Reserves Estimation of Banded Cu-polymetallic Deposit

At present，the drilling analysis data of Cu-polymetallic ore present as a ribbon，with the interaction of multi-metal.When using the classical Co-Kriging method to conduct interpolation analysis of the data distribute as a ribbon，it is apt to occur that the weight of endpoint data become too large，called as banded effect.In order to reduce the effect of banded effect in the process of data interpolation，based on the Co-Kriging method，a interpolation method for reserves estimation of the banned Cu-polymetallic deposit is proposed，that is the Co-Kriging method with calibration weights.Firstly，the original drilling data is processed by statistical analysis，specific values and composite samples，the weight coefficients with banned effect are analyzed in detail; then，the Quasi-Newton method is adopted to calibrate the weight values obtained by the Co-Kriging method.Taking the drilling grade data of 2012 Tibet Jiama copper polymetallic exploration engineering as an example，the reserves of the copper polymetallic deposit is estimated，in particular，Cu grade is regarded as the main regionalized variable and Ag grade is regarded as the synergy regionalized variable to calculate the experimental variation function and cross experimental variation function of Cu and Ag respectively.Besides that，the interpolation results of the Co-Kriging method and Co-Kriging method with calibration weights are analyzed.The research results show that the performance of the Co-Kriging method with calibration weights is superior to the classical Co-Kriging method，and it has some reference for geological attribute analysis and reserve estimation of Cu-polymetallic deposit.