基于原生晕三维数据体模型的深部矿产预测

Deep mineral resources prediction based on primary halo geochemistry using 3D data modelling technique

三维原生晕矿产预测方法可以作为原生晕地球化学的有效补充。探讨了基于原生晕的地球化学深部矿产预测方法,通过三维建模技术构建了一种三维原生晕矿产预测方法,应用该方法在湖北铜绿山铜铁矿圈定了22个预测靶位,部分靶位已在矿区的实际勘探中得到验证。三维原生晕数据体模型可以在深部矿产预测中取得较好的效果。

This work discussed the use of primary halo gechemistry in deep mineral exploration. A 3D primary halo exploration method was built by three dimensional modeling technique. With this method, 22 prospecting targets were delineated in Tonglvshan copperiron deposit of Hubei Province, and some targets have been verified in practical exploration. It is suggested that 3D data volume model based on primary halo geochemistry is effective in deep mineral exploration.