论文部分内容阅读
本文基于三维地质环境,综合白象山矿区积累的地质资料和物探成果,首先开展三维地质建模工作,详细刻画了白象山矿区的三维地质结构;在三维地质模型基础上,利用三维空间分析手段对三维控矿因素进行定量挖掘,提取了多种三维控矿因素;最后采用人工神经网络方法进行三维成矿定位预测。预测结果显示,人工神经网络三维成矿定位预测能很好的定位出已知矿体,同时显示,在已知矿体北部及东部的深边部具有较高的成矿概率,可作为开展进一步找矿勘探的靶区。因此,人工神经网络三维成矿定位预测对于白象山矿区的应用是有效的,可服务于新老矿区的深边部三维成矿定位预测,同时可为隐伏矿、盲矿的成矿预测和优选靶区提供定量、定位新的方法和途径。
Based on the three-dimensional geological environment and the geological data and geophysical results accumulated in the Baixiangshan mining area, the paper firstly carried out three-dimensional geological modeling and detailed the three-dimensional geological structure of the Baixiangshan mining area. Based on the three-dimensional geological model, Three-dimensional ore-controlling factors for quantitative mining, extracted a variety of three-dimensional ore-controlling factors; Finally, artificial neural network method for three-dimensional ore-forming positioning prediction. The prediction results show that the three-dimensional ore-forming localization prediction of ANN can well locate the known ore bodies and show that there is a high probability of mineralization in the northern and eastern parts of the known ore body, Exploration prospecting target area. Therefore, the prediction of three-dimensional ore-forming location by artificial neural network is effective for the application in the Baixiangshan mining area, which can serve for the prediction of the three-dimensional ore-forming location in the deep edge of the old and new mines and for the prediction and optimization of the mineralization of the blind and blind mines Targets provide a quantitative, new method of positioning and ways.