基于MORPAS平台特征分析法找矿靶区预测--以大平梁外围铜钼多金属矿为例

Application of Characteristic Prospecting Target Prediction Based on MORPAS——A Case Study on Cu-Mo Polymetallic Deposit around Dapingliang

通过对帕尔干布拉克地区地质条件和典型矿床研究,综合地质、物探、化探、遥感等找矿信息,建立研究区铜钼多金属矿综合信息找矿模型。选取地层、构造、物化探、遥感等13个预测变量,基于MORPAS平台采用特征分析法对研究区进行成矿预测,圈定了3个A级、2个B级和3个C级找矿靶区。研究结果表明,针对矿产少,矿床类型单一的研究区的找矿预测采用特征分析法是很有效的综合预测分析方法。

An integrated information exploring model is established to obtain metallogenic conditions in Paerganbulake area using the geological,geophysical,geochemical and remote sensing metallogenic information According to this model,13 prediction variables containing stratum,structure,geophysical, geochemical, remote sensing variables have been chosen.Then characteristic analysis method was used to predict target areas in Pareganbulake district on MORPAS system.3 A- order prospecting targets, 2 B-order prospecting targets, 3 C-order prospecting targets were recognized in this study.The results indicate that characteristic analysis method is effective integrated information exploring as a single type of deposit.