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岩浆侵位过程的反演及其在矿体定位预测中的应用--以安徽铜陵凤凰山矿田为例
引用本文:杨中宝,丁美青,银霞.岩浆侵位过程的反演及其在矿体定位预测中的应用--以安徽铜陵凤凰山矿田为例[J].世界地质,2003,22(4):339-343.
作者姓名:杨中宝  丁美青  银霞
作者单位:中南大学地学与环境工程学院,长沙,410083
摘    要:岩浆侵位过程是一个复杂的物理化学过程,控制着岩体和矿床的空间分布。凤凰山矿田位于铜陵矿集区,经过多年的开采,后备储量严重不足,急需扩大远景储量。采用三维流体动力学模型与流体势相结合,对矿田内的新屋里岩体侵位过程进行反演。结果表明,凤凰山矿田已知矿床均产于流体势梯度急剧变化带内。相思树、横山岭预测单元从地表向地下不仅同处于流体势梯度最大变化带内,还位于有利的成矿构造环境,具有良好的成矿远景。

关 键 词:岩浆侵位  凤凰山矿田  反演  流体动力学  定位预测  流体势
文章编号:1004-5589(2003)04-0339-05

Magmatic Emplacement Process Inversion and Its Application to Location Prediction of Orebody--Taking Fenghuangshan orefield of Anhui for example
Zhongbao Yang,Meiqing Ding,Xia Yin College of Geoscience and Environmental Engineering,Central South University,Changsha, China.Magmatic Emplacement Process Inversion and Its Application to Location Prediction of Orebody--Taking Fenghuangshan orefield of Anhui for example[J].World Geology,2003,22(4):339-343.
Authors:Zhongbao Yang  Meiqing Ding  Xia Yin College of Geoscience and Environmental Engineering  Central South University  Changsha  China
Institution:Zhongbao Yang,Meiqing Ding,Xia Yin College of Geoscience and Environmental Engineering,Central South University,Changsha,410083 China
Abstract:Magmatic emplacement is a complex physical chemical process which controls spatial distribution of rock body and deposit. Fenghuangshan orefield is located in the Tongling mineralization district. Exploited for many years, the mine is severely deficient in reserves and is badly in need of expanding prospective reserves. Based on three--dimensional hydrodynamical model and fluid potential, magmatic emplacement process inversion of Xinwuli rock body in the orefield has been carried out, which shows that all the discovered deposits in Fenghuangshan orefield corresponded to fields of fluid potential varied intensely. The units of Xiangsishu and Hengshanling, not only sited the field but also have preferable metallogenic structure and ideal metallogenic prostect.
Keywords:magmatic emplacement  Fenghuangshan orefield  inversion  hydrokinetics  location prediction  fluid potential  
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