矿产资源深部矿体定位技术优化研究OA

With the increasing depletion of shallow mineral resources worldwide,it has become an inevitable trend for mineral resource exploration to move deeper(usually referring to depths below 500 meters).However,the deep geological environment is complex,and the geophysical field signals are weak.Traditional positioning techniques face severe challenges such as low resolution and strong ambiguity.This article systematically analyzes the key technical bottlenecks in deep ore body positioning,focusing on exploring the technical optimization path that integrates geological modeling,big data analysis,and intelligent algorithms with high-precision geophysical exploration as the core.By introducing a exploration case of a large porphyry copper mine and combining specific exploration data and inversion formulas,the effectiveness of the optimization scheme of"multi-dimensional data constrained collaborative inversion"was verified.Research has shown that technological optimization significantly improves the accuracy of spatial morphology characterization of deep ore bodies and the reliability of resource estimation,which has important strategic significance for ensuring national mineral resource security.