煤炭储量分级的不确定性及其度量

Uncertainties and measurement of coal reserve classification

传统的煤炭储量分级方法人为地根据地质条件和煤层条件确定级别,存在较大的不确定性。本文对传统储量分级过程中的不确定性进行分析,基于钻孔分布的空间邻近关系,构建了控制程度误差指数来度量分级的不确定性,从而更科学地划分储量级别,并以吕家坨煤矿为研究区进行验证,结果表明这种方法更趋合理。

Traditional reserve classification was classified by geological conditions and seam conditions, so there remained more uncertainties. In the paper, uncertainties of traditional reserve classification were analyzed, and based on spatial neighborhood relation, control degree error index was constructed to measure the uncertainties of reserve classification. Through this method, reserve classification could be more scientific, which was verified by example of Lvjiatuo mine. The result was proved to be more reasonable, deserved popularization.