矿床工业指标优化时的品位统计分析及方案法结果的预测  

APPLICATION OF GRADE STATISTICAL ANALYSIS AND THE PREDICTION RESULTS OBTAINED BY SCHEME METHOD TO OPTIMIZATION OF DEPOSIT INDUSTRIAL INDEX

作　　者：池顺都[1] 刘治国[1] 朱建东[1] 

机构地区：[1]中国地质大学资源学院,武汉430074

出　　处：《地质与勘探》2003年第2期81-84,共4页Geology and Exploration

摘　　要：在进行矿床工业指标优化研究中,品位的统计分析,可以了解品位值的统计分布特征,决定研究单元的划分。同时还可以预测用方案法得出的矿体平均品位、矿石储量的增长和金属储量增长的大致结果。从而提高方案法的预见性,减少进行方案试算的次数。During the study of optimization of deposit industrial index, the results of grade statistical analysis can provide information on the statistical distribution characteristics of grade, and help decide how to plot study unit. These results are also useful in predicting the approximate results of average grade, the increasing of ore reserves and the increasing of metal reserves obtained from the scheme method. Thus, the predictability of the scheme method is enhanced, and the times of scheme test can be decreased.

关 键 词：矿床工业指标 品位 统计分析 矿石储量 

分 类 号：P624.6[天文地球—地质矿产勘探]