摘要
Abstract
This paper focuses on the Pb-Zn-Ag polymetallic deposits in the Huashan area,Guangxi,systematically integrating regional geological,geophysical,and geochemical data to reveal a metallogenic dynamic mechanism dominated by fault-controlled mineralization,driven by magmatic hydrothermal activity,and synergized by stratigraphic lithology.By fusing multi-source information including structure,alteration,lithology,and element distribution,a high-precision three-dimensional geological model was constructed,and machine learning algorithms were introduced to achieve intelligent identification of concealed ore body spatial distribution.The prediction results were verified by drilling,effectively guiding the discovery of new target areas and significantly improving deep exploration efficiency.This study provides a complete pathway from mechanism understanding to technology implementation for polymetallic deposit exploration in complex structural settings.关键词
成矿动力学/三维建模/机器学习/深部找矿Key words
metallogenic dynamics/3D modeling/machine learning/deep prospecting分类
天文与地球科学
