The Research And Practice Of Solid Mineral Reserves Estimation Based On Geostatistics

In recent years, with Geostatistics deeply studied and widely used in China,It has been made great progress in the solid mineral reserves estimation , conditional simulation and numerical analysis,and has been widely used in the field of agricultural, meteorological, environmental , oil and gas and so on.In the solid mineral reserves estimation,it has developed into the industry standard for estimating reserves, and has also produced excellent research results and a large number of mature softwares.In this paper, It first introduced the contents of the Geostatistics, and its advantages to traditional methods of calculating mine reserves and classical probability and statistics .Then it introduced regional variables, variogram and the theoretical model, variation curve, structural analysis, ordinary Kriging method and so on.In the part of resorce estimation,it divided the body of Jiama deposit into many units of calculation.Considered each unit,it selected appropriate method of estimation for each unit.To the No.1 unit,it introduced how to use Kring method to estimate the reserves. Including data analysis, data pre-processing, specific value processing, data visualization, variogram, Kriging estimation, reserves calculation and so on. In this section,it included not only the essence of the thinking of the Kriging(Including: variogram analysis, Kriging valuation, etc),but also gave a detailed example. Combined with the Cu deposit, it selected the appropriate algorithm,calculated variation function,drew the figures of variation function in each direction, selected the parameters of block models.Then under the MATLAB platform,it estimated the reserves of Cu and Mo.Finally, the result of reserves calculation is reliable by contrasting it with the result of reserves calculation with SD software.In addition, combined with the deposit,this paper gave the figure of the spatial distribution of drill holes, the spatial form of the mine, the figure of three-dimensional simulation of the terrain and so on under the MATLAB.