应用逻辑信息法对某超基性岩带含矿性的预测

本区研究程度较低,区内已知岩体16个,其中仅一个岩体具工业价值镍矿。作者借用国内其它地质条件可对应的少数含矿岩体作为模型,用所需模型较少的逻辑信息法进行统计,研究时引进了含矿度(H),求得了储量与含矿度间的回归方程,并用此方程预测得15个岩体的镍资源量。

APPLICATION OF LOGIC INFORMATION METHOD (LIM) FOR Ni RESOURCE ASSESSMENT IN A ULTRABASIC ROCK BELT

LIM is suitable for areas of low level geologic study. In our studied area among16 ultrabasic rock units only one was found to have Ni mineralization. Modelswere set up on the basis of similar Ni deposits in other area, and were used toassess the remain 15 units in this area. A new concept, degree of mineralization(H) was proposed. It is a parameter to measure the degree of useful mineralcontents in a geological unit. Its value ranges in (0, 1), which can be calculatedfrom the objective weights. According to the data obtained from various units inthe modeled area, regression equation has been established between reserves and H,and was to predict Ni resources in the 15 rock units.