| 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 |
| |
| 引用本文： | 赖晓丹,张锦章,李晶,杨凯,祁进平,蒋姣姣.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,2023,42(1):55-65. |
| |
| 作者姓名： | 赖晓丹 张锦章 李晶 杨凯 祁进平 蒋姣姣 |
| |
| 作者单位： | 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 |
| |
| 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 |
| |
| 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。
|
| 关 键 词： | 地质学 短波红外 大数据 定量预测 紫金山 金铜矿 |
| 收稿时间： | 2021/10/29 0:00:00 |
| 修稿时间： | 2022/10/30 0:00:00 |
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.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 Deposits,2023,42(1):55-65. |
| |
| Authors: | LAI XiaoDan ZHANG JinZhang LI Jing YANG Kai QI JinPing JIANG JiaoJiao |
| |
| Institution: | 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 |
| |
| 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. |
| |
| Keywords: | geology short-wave infrared spectroscopy big data quantitative prediction Zijinshan gold-copper deposit |
|
| 点击此处可从《矿床地质》浏览原始摘要信息 |
| 点击此处可从《矿床地质》下载免费的PDF全文 |
|
