摘要
矿床在形成后常被构造改造,但现有三维成矿预测中对其关注较少。笔者选择胶东半岛大尹格庄构造蚀变岩型金矿为研究对象,采用基于不规则三角网(TIN)的构造复原方法还原被断裂错断的矿体与控矿断裂的三维结构,开展复原前后的矿化空间/控矿因素对比分析并实现深边部三维成矿预测。结果表明,构造复原方法消除了断裂和矿体被错断产生的空间距离及倾角变化;复原后的矿化分布具有更强的空间自相关性,被错断区域的矿化分布由分散变为连续。此外,相同参数下,复原后的预测模型比复原前模型具有更高的性能,说明对复原后的矿化分布和控矿指标之间的关联关系表达更加显著。因此,顾及构造改造的三维成矿预测有利于预测结果的准确性,可为大尹格庄矿床深部找矿工作提供可靠参考。
Mineral deposits are often deformed after mineralization,which is,however,less concerned in the current three−dimensional(3D)prospectivity modeling.This paper selected the Dayingezhuang structural altered rock type gold deposit as a case study and used a structural restoration method based on triangular irregular network(TIN)to reconstruct 3D orebody and ore−controlling fault,analyzed and compared the mineralization structure and ore−controlling factors before and after restoration and finally completed the 3D mineral prospectivity at depth.The results show that the structural restoration method can eliminate the variation of spatial distance and dip angle of fault and orebody caused by deformation.The reconstructed mineralization distribution has a stronger spatial autocorrelation feature that is shown as the change of scattered mineralization distribution to spatially continuous at the offset parts.In addition,the reconstructed prediction model has higher performance than that without restoration under the same parameters,indicating that the correlation between the mineralization distribution and ore control factors is more significant.Therefore,the three−dimensional metallo-genic prediction modeling with integration of structural reconstruction has improved the propectivity accuracy and can provide a reliable reference for deep prospecting in the Dayingezhuang deposit.
作者
毛先成
王春锬
刘占坤
陈进
邓浩
王金利
MAO Xiancheng;WANG Chuntan;LIU Zhankun;CHEN Jin;DENG Hao;WANG Jinli(Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education,School of Geosciences and Info−Physics,Central South University,Changsha 410083,Hunan,China;Key Laboratory of Non−Ferrous Resources and Geological Hazard Detection,Changsha 410083,Hunan,China)
出处
《西北地质》
CAS
CSCD
北大核心
2023年第5期72-84,共13页
Northwestern Geology
基金
国家自然科学基金重点项目“矿床时空结构定量表征与智能理解”(42030809)资助。
