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选别开采中采样方法最佳化的经济问题,可以用地质统计学方法进行分析。选别开采要求按照边界品位划分矿化块段。在理想的情况下,品位值超过边界品位的所有块段应划归矿石,而其余块段则应划归废石。由于通过采样所得到的资料有限,某些块段可能划分得不正确,因此造成损失。这种损失代表一种机遇成本(opportunity cost)。采样最佳化的条件是:改善采样资料所需采样成本的增加超过机遇成本的相应减少。本文提出了这个问题的数学解法,并附有实用图解。将岩心采样与冲击钻探采样作了对比,将均匀采样密度与两阶段可变采样密度作了对比。
The economic problems of optimizing the sampling method in the selective mining can be analyzed by geostatistics. Separation of mining requirements in accordance with the boundary grade mineralization block section. Ideally, all blocks with grade values above the boundary grade should be assigned to ores, while the remaining blocks should be classified as waste rock. Due to the limited information available through sampling, some blocks may be incorrectly partitioned, resulting in losses. This loss represents an opportunity cost. The conditions for sampling optimization are: Sampling costs needed to improve sampling data increase more than the corresponding reduction in opportunity costs. This paper presents a mathematical solution to this problem, with practical illustrations. Comparisons of core sampling and percussion drilling sampling were made to compare the uniform sampling density to the two-stage variable sampling density.