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矿山通常都抱怨出矿品位与勘探的预期值不符。最常见的是采出矿量大于预期量而品位则较低,这可以视为贫化。地质统计学有助于预测用不同采矿方法时品位与矿量两方面可能发生的贫化率。地质统计学常用词汇有块段的品位分布、块段的方差、尺寸效应和信息效应等。所有这些名词对实际工作者来说几乎什么都说明不了。实际上,所有这方面的问题可改用贫化的术语来表述。本文所述内容:举例说明储量是如何随选别回采单元尺寸及所取样品数量的变化而变化的;给出若干表格,以表明在涉及通常遇到的对数正态分布时必将发生的贫化的数据。最后,本文示出在任意分布的情况下应如何进行品位矿量计算。
Mines generally complain that the ore grade does not match the expected value of exploration. The most common is that the amount of ore produced is greater than expected while the grade is lower, which can be considered as depletion. Geostatistics can help predict the likely level of depletion in both grade and mineral volume for different mining methods. Geological statistics commonly used vocabulary has a block of grade distribution, block of variance, size effect and information effects. All of these terms can not be explained to real workers. In fact, all the problems in this area can be expressed in terms of depletion. Described in this paper are examples of how the reserves vary with the size of the separation unit and the number of samples taken; a number of tables are given to show what will happen with the normally encountered lognormal distribution Depleted data. Finally, the paper shows how to calculate the grade ore mass under the random distribution.