基于地质统计学方法的某铁矿资源量估算

摘要

Ore-body reserves are the important basis of mine construction and production. At present,the traditional re-serves estimation methods cannot meet the requirements of modern mine management. Based on the three-dimensional geolog-ical model of ore-body,geostatistics method is an optimal estimation scientific method of block models by analyzing the varia-tion characteristics of ore grade via the theory of regionalized variable. Taking a large iron deposit in Kyrgyzstan as the research object,firstly,the geological data-based and 3D model of ore-body are established;then,the grade-space variogram is obtained by analyzing the grade distribution characteristics of samples; finally,the Kriging interpolation method is adopted to estimate the grade of ore-body,and also the reserves. The research results show that compared with the traditional reserves estimation method,geostatistics method based on the three-dimensional geological model of ore-body and variogram can estimate reserves more scientifically,efficiently and accurately,which is conduced to realize the three-dimensional visualization of mine informa-tion and dynamic management of mine resources reserves.%矿体资源量是矿山生产建设的重要依据，目前，传统的资源量估算方法已经难以满足现代矿山管理的需求。建立在矿体三维地质模型基础上的地质统计学方法是一种运用区域化变量理论研究矿体品位的变化特征对块体模型进行最优估值的科学方法。以吉尔吉斯斯坦某大型铁矿为研究对象，首先建立地质数据库及矿体三维地质模型；然后通过分析样品品位分布特征，建立品位-空间变异函数；最后对矿体采用克里格插值法进行品位估值并计算资源量。结果表明，相对于传统资源量估算方法而言，地质统计学方法以矿山三维模型及变异函数为基础，能够更科学、高效、准确地估算资源量，有助于实现矿山信息的三维可视化及资源储量的动态管理。