矿床地质:2023,Vol.>>Issue(1):55-65

基于短波红外光谱技术的蚀变矿物大数据定量预测方法探索——以福建上杭县紫金山金铜矿床为例
紫金矿业集团股份有限公司, 福建 龙岩 364200;中国地质大学(北京)
, 北京 100083;澳大利亚X光管有限公司, 珀斯 6102;南京优译谱技术有限公司, 江苏 南京 210016
Quantitative prediction of big data of altered minerals based on short-wave infrared spectroscopy: A case study of Zijinshan gold-copper deposit, Shanghang County, Fujian Province
LAI XiaoDan,ZHANG JinZhang,LI Jing,YANG Kai,QI JinPing,JIANG JiaoJiao
(Zijin Mining Group Co. Ltd., Longyan 364200, Fujian, China;China University of Geosciences, Beijing 100083, China;Australian X-ray Tube PTY Ltd., Perth 6102, Australian;Nanjing Youyipu Technology Co. Ltd., Nanjing 210016, Jiangsu, China)
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投稿时间:2021-10-29   修订日期:2022-10-30      网络发布日期:2023-03-07
中文摘要:福建上杭县紫金山矿田是中国发现并保存较完整的浅成热液-斑岩铜金多金属成矿系统。紫金山超大型高硫型金铜矿是该矿田的核心组成部分,通过十多年基于短波红外光谱技术的勘查找矿应用示范,累积形成覆盖整个矿田的百万级短波红外光谱大数据库。文中通过对紫金山金铜矿床明矾石、叶腊石、高岭石类和云母族矿物的短波红外光谱数据的进行模拟计算,其结果与实际测得矿物全定量分析结果具备良好的相关性,能实现光谱的传统定性解译有效转化为定量解译,进而构建典型蚀变矿物的三维模型,实现与查明了厘米级精度的矿物三维空间分布规律,对紫金山金铜矿床的深部找矿预测具有重大指导意义。
Abstract:Zijinshan orefield in Shanghang, Fujian Province, is a super-large epithermal-porphyry Cu-Au polymetallic metallogenic system with good preservation discovered in China. Zijinshan super-large high-sulfur gold-copper deposit is the core part of the Zijinshan orefield. Through more than ten years of demonstration of exploration and prospecting based on short-wave infrared spectroscopy technology, a database containing massive amounts of short-wave infrared spectra data covering the whole orefield was built. In this article the typical altered minerals of alunite, pyrophyllite, kaolinite and sericite group in Zijinshan gold-copper deposit were calculated by using quantitative method simulation, and it showed a good correlation between its results and actual measured mineral quantitative analysis results. It can effectively transform the traditional qualitative interpretation into quantitative interpretation of spectra, and then construct a three-dimensional model of typical altered minerals, and clarify and realize the three-dimensional spatial distribution law of minerals with centimeter-level accuracy, which is of great significance for the deep prospecting prediction in Zijinshan gold-copper deposit.
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基金项目:本文得到国家重大科学仪器开发专项“岩心光谱扫描仪立体填图矿产勘查应用研究”(编号:2012YQ05025007)资助
引用文本:
赖晓丹,张锦章,李晶,杨凯,祁进平,蒋姣姣.2023.基于短波红外光谱技术的蚀变矿物大数据定量预测方法探索——以福建上杭县紫金山金铜矿床为例[J].矿床地质,42(1):55~65
LAI XiaoDan,ZHANG JinZhang,LI Jing,YANG Kai,QI JinPing,JIANG JiaoJiao.2023.Quantitative prediction of big data of altered minerals based on short-wave infrared spectroscopy: A case study of Zijinshan gold-copper deposit, Shanghang County, Fujian Province[J].Mineral Deposits42(1):55~65
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