地质统计学在多金属矿床储量计算中的应用研究

借助国际矿业软件Surpac建立了矿床地质数据库,筛选出矿体内钻孔样品数据并对其进行组合.根据组合样的统计分布特征,应用地质统计学理论建立了品位参数变异规律的数学模型,采用加权多项式回归法自动拟合求得实验变异函数,经交叉验证,优选出理想的实验变异函数参数值.根据理想的实验变异函数参数值,采用普通克立格法对矿体金属元素品位进行了估值,运用估值结果分别按各金属元素和中段进行了储量计算,并与矿山实际勘探获得的储量进行了对比.结果表明,所建模型可靠,计算结果准确,可用于辅助地质及采矿工程师进行资源评估、采矿设计及计划编制等工作.

APPLICATION OF GEOSTATISTICS IN POLYMETALLIC DEPOSIT RESERVES CALCULATION

International mine software Surpac is applied to establish geologic database. Sample data inside drilling cores are filtrated and composited. Based on statistical characteristic of combinatorial sample, geostatistics is applied to establish a mathematical model of variation of grade parameters. Experimental variance function is obtained by applying weighted polynomial reduction in computer. Ideal parameter values of experimental variance function are determined via cross validation. Ordinary Kriging estimation of metal element grade is realized according to these values, and reserves are calculated according to metal elements and sub - level respectively. Comparing results with actual reserves of the mine, established model is reliable and the results are correct. The method can help assistant geologists and mining engineers to do their works of reserve estimation, mining design and planning.