摘要
在强电磁干扰环境下,采用传统傅里叶变换方法对WEM数据进行处理的效果不佳,得到的预处理数据无法满足后续反演计算的要求.同时,野外采集的WEM信号具有非线性、非平稳特征.本文研究了采取Hilbert-Huang变换(HHT)这种完全局部时频分析手段来处理WEM信号的方法.文中简要介绍了Hilbert-Huang变换的基本原理,通过模拟信号验证了方法的有效性,并以实际数据分析为例,研究了本方法在WEM信号数据处理中的应用.研究结果表明,HHT法能够实现对电磁强干扰高效压制并得到有效信号,极大地改善了WEM信号的处理效果.
Under the environment of strong electromagnetic interference,the WEM data processed by the traditional means of Fourier transform is not effective,and the obtained apparent resistivity and phase data cannot meet the requirements of subsequent inversion calculation.WEM signal collected in the field are non-linear and non-stationary.In this paper,Hilbert-Huang Transform(HHT),a completely local time-frequency analysis method,is proposed to process WEM signals.Then,we briefly introduce the basic realization principles and algorithms of Hilbert-Huang transformation,and confirm its validity by simulations.In addition,the application results of this method in WEM signal processing and noise suppression are given by analyzing the actual data examples.The results indicate that using the HHT method in frequency domain filtering can effectively suppress the noise of WEM signals.Thus,we can extract the electromagnetic signals of known frequencies,and improve signal processing results significantly.
作者
宋腾飞
付长民
SONG Teng-fei;FU Chang-min(Key Laboratory of Shale Gas and Geoengineering,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China;University of Chinese Academy of Sciences,Beijing 100049,China;Academy of Earth Science,Chinese Academy of Sciences,Beijing 100029,China)
出处
《地球物理学进展》
CSCD
北大核心
2020年第5期1978-1985,共8页
Progress in Geophysics
基金
中国科学院战略性先导科技专项(A类)课题“井场数据平台与远程决策系统研制”(XDA14050300)
国家重大科学技术基础设施项目“极低频探地(WEM)工程”资助.
