基于Green函数样条插值的煤厚分布与储量计算

Coal Thickness Distribution and Reserves Estimation Based on Green's Function Spline Interpolation

掌握煤矿的煤厚分布情况对储量计算、开采设计和矿区地表变形监测具有重要意义。为此,提出基于Green函数样条插值的煤厚分布与储量计算方法,在钻探数据的基础上,采用Green基函数样条插值,生成区域煤厚与密度格网模型,从而掌握煤厚分布状况。通过累加每个格网的储量能得到指定区域煤炭总储量,列举两个储量计算实例,建立格网模型,绘制煤厚分布等值线图,对比结果表明该方法计算结果可靠,精度高,适用条件更广。

The coal thickness distribution has important significance to reserves estimation, mining design and mine surface deformation monitoring. An algorithm for coal thickness distribution and reserves estimation based on Green＇s function spline interpolation is presented in this paper. Based on the drilling data, Green＇s function spline interpolation algorithm is adopted to build grid models for coal thick and bulk density. Core reserves in a single grid can be calculated precisely. Then total coal reserves can be calculated by adding all the reserves values in the small grids. Two examples for different type of coal mine are listed and coal thickness distribution contour maps are plotted. By comparing the resuits with that of other methods, the reliability and computation high-precision of the proposed method are validated. The presented method possesses a wider range of applicable conditions.