Quantitative Prediction for Deep Mineral Exploration

Zhao Pengda , Cheng Qiuming , Xia Qinglin
{"title":"Quantitative Prediction for Deep Mineral Exploration","authors":"Zhao Pengda ,&nbsp;Cheng Qiuming ,&nbsp;Xia Qinglin","doi":"10.1016/S1002-0705(08)60063-1","DOIUrl":null,"url":null,"abstract":"<div><p>On reviewing the characteristics of deep mineral exploration, this article elaborates on the necessity of employing quantitative prediction to reduce uncertainty. This is caused by complexity of mineral deposit formational environments and mineralization systems as increase of exploration depth and incompleteness of geo-information from limited direct observation. The authors wish to share the idea of “seeking difference” principle in addition to the “similar analogy” principle in deep mineral exploration, especially the focus is on the new ores in depth either in an area with discovered shallow mineral deposits or in new areas where there are no sufficient mineral deposit models to be compared. An on-going research project, involving Sn and Cu mineral deposit quantitative prediction in the Gejiu area of Yunnan Province, China, was briefly introduced to demonstrate how the “three-component” (geoanomaly-mineralization diversity-mineral deposit spectrum) theory and non-linear methods series in conjunction with advanced GIS technology, can be applied in multi-scale and multi-task deep mineral prospecting and quantitative mineral resource assessment.</p></div>","PeriodicalId":100762,"journal":{"name":"Journal of China University of Geosciences","volume":"19 4","pages":"Pages 309-318"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1002-0705(08)60063-1","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of China University of Geosciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1002070508600631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

On reviewing the characteristics of deep mineral exploration, this article elaborates on the necessity of employing quantitative prediction to reduce uncertainty. This is caused by complexity of mineral deposit formational environments and mineralization systems as increase of exploration depth and incompleteness of geo-information from limited direct observation. The authors wish to share the idea of “seeking difference” principle in addition to the “similar analogy” principle in deep mineral exploration, especially the focus is on the new ores in depth either in an area with discovered shallow mineral deposits or in new areas where there are no sufficient mineral deposit models to be compared. An on-going research project, involving Sn and Cu mineral deposit quantitative prediction in the Gejiu area of Yunnan Province, China, was briefly introduced to demonstrate how the “three-component” (geoanomaly-mineralization diversity-mineral deposit spectrum) theory and non-linear methods series in conjunction with advanced GIS technology, can be applied in multi-scale and multi-task deep mineral prospecting and quantitative mineral resource assessment.

深部矿产勘查的定量预测
在回顾深部矿产勘查特点的基础上,阐述了采用定量预测减少不确定性的必要性。这是由于随着勘探深度的增加,矿床形成环境和成矿系统的复杂性以及有限的直接观测所获得的地质信息的不完整性造成的。作者希望在深部矿产勘探中,除了“相似类比”原则外,还分享“求异”原则的思想,特别是重点关注已发现浅部矿床的地区或没有足够矿床模型可供比较的新地区的深部新矿石。简要介绍了正在进行的云南个旧地区锡、铜矿床定量预测研究项目,以展示“三分量”(地质异常矿化多样性矿床谱)理论和非线性方法系列如何结合先进的GIS技术,可应用于多尺度、多任务的深部找矿和矿产资源定量评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信