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1984年,在希腊莫奈(molai)附近发现了一个 Zn-Ag-Pb 矿床,随后即将其定为黑矿型矿床,在伯罗奔尼撤东南部的许多地方,其地质特征与莫奈矿床相似.因为在这些地方,可将有利的地质标志分为存在,缺乏或未知等不同的等级。所以,确有必要根据有用的信息水平来对勘探地质进行分类和排序,对于每一信息水平,根据实际的勘探标志建立一个找矿模型,这样就能对每个地区矿床出现的成矿有利度进行计算.蒙特卡洛模拟可用于计算成矿概率,其输入资料包括每一地区地质标志的定量和定性值.三个信息水平的模型为:A 级由9个标志组成;B 级由12个标志组成;C 级由20个标志组成.在莫奈地区,对上述三个信息水平都进行了试验,其结果超过了期望值,即使是最低的信息水乎也反映了控制矿化的地质趋势.随着信息水平的增加,地质趋势变得更明显,而且亦能获得呈低成矿概率的含 Cu 矿化区与可能含 Zn-Ag-Pb 矿化区的差异性.因此,该模型 A 级和 B 级便可应用于相邻地区.
A Zn-Ag-Pb deposit was found near the molai in Greece in 1984 and was subsequently classified as a black-ore deposit. In many parts of southeastern Peloponene, the geological features are similar to those of the Monet deposit Because in these places, favorable geological markers can be divided into different levels of existence, lack of or unknown. Therefore, it is indeed necessary to classify and prioritize the exploration geology based on the level of useful information, and for each level of information, a prospecting model based on actual exploration signatures would be beneficial to mineralization occurring in each area of the deposit Monte Carlo simulation can be used to calculate the probability of mineralization, the input data include the quantitative and qualitative values of geological markers in each region.The model of the three information levels is: A class consists of 9 signs; B class consists of 12 The C-level is composed of 20 signs, and in the Monet area, all three levels of information above were tested and the results exceeded expectations, even the lowest information almost reflects the geological trend of mineralization control. With the increase of the information level, the geological trend becomes more obvious, and also the difference between the Cu-bearing mineralized zone and the Zn-Ag-Pb mineralized zone, which may have low mineralization probability, can be obtained. Therefore, And Class B can be applied to adjacent areas.