人工源电磁法聚类分析处理技术在金属矿区的应用——以冬瓜山铜矿为例  

Application of Clustering Analysis-Based Noise Reduction Techniques in Controlled-Source Electromagnetic Methods in Polymetallic Mining Areas-A case study of the Tong-ling Dong-gua-shan copper mine

作　　者：杨亮 周聪[1,2] 李银航 冯嘉豪 YANG Liang;ZHOU Cong;LI Yin-hang;LI Jia-hao(Engineering Research Center of Nuclear Technology Application,Nanchang 330013,China;Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province(East China Institute of Technology),Nanchang 330013,China;Central South University,School of Earth Science and Information Physics,Changsha 410083,China)

机构地区：[1]核技术应用教育部工程研究中心,江西南昌330013 [2]江西省防震减灾与工程地质灾害探测工程研究中心(东华理工大学),江西南昌330013 [3]中南大学地球科学与信息物理学院,湖南长沙410083

出　　处：《世界有色金属》2024年第10期220-222,共3页World Nonferrous Metals

基　　金：云南省重点研发计划项目(编号:202303AA080006);国家自然科学基金项目(42264006,42130811);核技术应用教育部工程研究中心开放基金项目(HJSJYB2021-18)联合资助。

摘　　要：人工源电磁法是一种重要的金属矿勘探方法。工业文明带来了复杂的噪声,含噪电磁响应信息的提取成为强干扰区电磁勘探的关键问题。本文提出了基于聚类分析的人工源电磁法去噪处理新技术,应用聚类分析对含噪频谱进行分类,以识别出具备人工源特征的功率谱数据,提高响应提取质量。实测数据处理结果表明,相较于常规处理方法,本文算法能够更好的压制噪声,提高人工源电磁法的数据预处理质量。Controlled source electromagnetic method is an important method for metal ore exploration.Industrial civilization brings complex noise,and the extraction of noisy electromagnetic response information has become a key issue in electromagnetic exploration in strong interference areas.This paper proposes a new technique for denoising controlled source electromagnetic method based on clustering analysis.Clustering analysis is applied to classify noisy frequency spectra to identify power spectrum data with controlled source characteristics and improve the quality of response extraction.The results of measured data processing show that compared to conventional processing methods,the algorithm proposed in this paper can better suppress noise and improve the quality of data preprocessing for controlled source electromagnetic method.

关 键 词：广域电磁法 多金属矿 数据去噪 应用 

分 类 号：P631.325[天文地球—地质矿产勘探]