【摘要】 针对矿产资源储量估算因特异值或矿床中存在不同类型的矿化作用而影响到品位和储量的精确估计,文章采用地质统计学中一种非参数方法——指示克立格法,以长江中下游地区出露较好、矿化较强的庐枞盆地罗河矿床为例,借助国际主流矿业软件Surpac和传统地质研究方法,通过地质体三维可视化建模,完成矿床Ⅰ号铁矿体、Ⅱ号铁矿体和零星铁矿体的铁矿品位模型。最后,对传统垂直断面法的估值结果与实验估算结果进行比较可得偏差为2.53%,估算结果较为理想,实现了更合理地获取矿体品位的空间分布特征,提高了金属矿床储量估算结果的准确性和合理性。更多还原

【Abstract】 According to the fact that the outlier and different types of mineralization in the mineral resources reserves estimation will affect the precise estimates of grade and reserves,a nonparametric method of geostatistics-indicator kriging is used.Taking the Luohe deposit,the best exposed and mineralized deposit located in Luzong basin in the middle and lower reaches of Yangtze River,as an example,with the help of the mining software Surpac and traditional geological research method,the iron ore grade model of No.Ⅰore body,No.Ⅱore body and sporadic ore body is established through the geological body three-dimensional visualization modeling.Finally,the reserves estimation results obtained by the traditional vertical section method are compared with the experimental results,and the deviation is 2.53%,which is comparatively ideal.This method can obtain the spatial distribution characteristics of ore body grade more reasonably,and improve the accuracy and rationality of metal deposit reserves estimation results.更多还原