全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2016 

基于矿床成矿系列的三维成矿预测—以安徽铜陵矿集区为例
3D Metallogenic Prediction Based on Minerogenetic Series: A Case Study in Tongling Mineral District of Anhui

Keywords: 铜陵矿集区,矿床成矿系列,立方块预测模型,信息量,三维成矿预测,Tongling mineral district,minerogenic series,cubic predicting model,information quantity,3D metallogenic prediction

Full-Text   Cite this paper   Add to My Lib

Abstract:

摘要: 为了对安徽铜陵矿集区深部矿产资源进行定量预测评价,并按不同矿床类型实现混合成因预测,以矿床成矿系列为指导开展三维成矿预测很有必要。在前人研究的基础上,总结归纳了研究区两个矿床成矿系列:与燕山期岩浆作用有关的成矿系列和沉积-改造(变质)成矿系列,以及斑岩-矽卡岩-热液型成矿模式,并利用三维可视化技术,对研究区进行了三维地质建模。在此基础上,运用“立方块预测模型”找矿方法,对研究区开展三维成矿预测,根据信息量值结合地质情况圈定了14个找矿远景区。该研究成功地将传统二维成矿预测理论与三维可视化技术结合,将区域矿产预测拓展到三维空间,更有利于区域范围内隐伏矿体的圈定工作,亦为今后的三维成矿预测工作提供了参考。
Abstract: In order to quantitatively predict the underlying mineral resources in Tongling mineral district and implement mixed genesis prediction according to the different deposit types, 3D metallogenic prediction based on minerogenic series is imperative. In this paper, we summarized two minerogenic series on the basis of previous studies, including the minerogenic series related to the Yanshanian magmatism and the sedimentary-reformation(metamorphic) minerogenic series. In addition, we summarized the porphyry-skarn-hydrothermal metallogenic model in the study area. Using 3D visualization technology, the 3D digital mine is modeled. After that,by implementing “cubic predicting model”prospecting method, we carried out a three-dimensional metallogenic prediction in the study area, and delineated 14 predicted targets according to the value of information and geolo-gical condition. Our research combines the traditional two-dimensional regional metallogenic prediction methods with advanced visualization technologies successfully, and extends the prediction of mineral resources within the region to three-dimensional space, makes it more conducive to concealed ore delineation work within the region, and also provides a reference for future three-dimensional prediction

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133