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本文详细阐释应用逻辑信息法进行多金属矿床矿化规模的定量评价和预测原理,并对建立逻辑信息法预测模型方法、步骤进行讨论.然后以汇水盆地划分出香花岭地区多金属矿床中26个地质体(矿床、矿点)作为统计单元,经通判研究选出与这些地质体矿化规模有关的47个标志(变量).并从25个统计单元中筛选出21个单元作为模型单元,同时根据逻辑信息法选择变异序列的原则,从47个变量中筛选出41个变量,建立2个多矿种的逻辑信息法定量模型,对该区不同的单元矿化程度进行定量评价和预测研究.定量地预测该区的Ⅰ级成矿远景区(小型矿区)1个,Ⅱ级成矿远景区(中型矿区)6个,Ⅲ级成矿远景区(矿点)3个,为确定该区的成矿靶区提供了可靠的依据.
This paper explains in detail the quantitative evaluation and prediction principle of the mineralization scale of the polymetallic deposit by using logical information method and discusses the methods and steps of establishing the prediction model of the logical information method.And then, Geological bodies (ore deposits and ore spots) were selected as statistical units, and 47 signs (variables) related to the mineralization scale of these geologic bodies were selected through contingency research and 21 units were selected from 25 statistical units as model units At the same time, 41 variables were selected from 47 variables according to the principle of logical information method to select mutation sequence. Two quantitative models of logic information method for multi-minerals were established, and the quantitative evaluation and prediction of the degree of unit mineralization in this area were carried out. A quantitative prediction is made for the prediction of 1 grade ore prospecting area (small scale mining area), 6 grade Ⅱ ore prospecting area (medium scale mining area) and 3 grade ore prospecting area (ore spot) in this area. In order to confirm this Area of the metallogenic target provides a reliable basis.