Magnetotelluric data de-noising based on wavelet transform and independent component analysis
Cao Xiaoling1,2,3, Liu Kaiyuan4, Yan Liangjun1,2
1. Key Laboratory of Exploration Technology for Oil and Gas Resources in Ministry of Education, Yangtze University, Wuhan, Hubei 430100, China; 2. Hubei Cooperation Innovation Center of Unconventional Oil and Gas, Wuhan, Hubei, 430100, China; 3. School of Information and Mathematics, Yangtze University, Jingzhou, Hubei 434023, China; 4. Geophysical Prospecting Company, Chuanqing Drilling Engineering Limited Company, CNPC, Chengdu, Sichuan 610213, China
Abstract：A de-noising method for magnetotelluric data with independent component analysis based on wavelet analysis is presented.Simulation experiments on synthetic signals show that the de-noising stability of the proposed method is better than the conventional wavelet-threshold de-noising method.Tests on real magnetotelluric data demonstrate that this method can effectively remove noise except at the extreme-low frequency band.So the proposed method provides a guarantee for the subsequent data processing quality.
曹小玲, 刘开元, 严良俊. 大地电磁的小波变换—独立分量分析去噪[J]. 石油地球物理勘探, 2018, 53(1): 206-213.
Cao Xiaoling, Liu Kaiyuan, Yan Liangjun. Magnetotelluric data de-noising based on wavelet transform and independent component analysis. Oil Geophysical Prospecting, 2018, 53(1): 206-213.
程正璞,胡祥云,李烨等.民丰凹陷大地电磁探测研究.石油地球物理勘探,2016,51(2):391-403.Cheng Zhengpu,Hu Xiangyun,Li Ye et al.A magnetotelluric survey in Minfeng Sag.OGP,2016,51(2):391-403.
[3]
严良俊,胡文宝,陈清礼等.远参考MT方法及其在南方强干扰地区的应用.石油天然气学报,1998,18(4):34-38.Yan Liangjun,Hu Wenbao,Chen Qingli et al.Application of remote reference MT to noisy area.Journal of Oil and Gas,1998,18(4):34-38
[4]
蔡剑华,龚玉蓉,王先春.基于Hilbert-Huang变换的大地电磁测深数据处理.石油地球物理勘探,2009,44(5):617-621,629.Cai Jianhua,Gong Yurong,Wang Xianchun.Magnetotelluric data processing based on Hilbert-Huang transform in oil and gas exploration.OGP,2009,44(5):617-621,629.
[5]
张全胜,王家映.大地电磁测深资料的去噪方法.石油地球物理勘探,2004,49(增刊1):17-23.Zhang Quansheng,Wang Jiaying.The method of de-noising for magnetotelluric data.OGP,2004,49(S1):17-23.
[6]
蔡剑华,王先春.EMD在大地电磁信号分析中的问题及解决方法.石油地球物理勘探,2016,51(1):204-210.Cai Jianhua,Wang Xianchun.Problems and solutions of EMD in magnetotelluric signal analysis.OGP,2016,51(1):204-210.
[7]
汤井田,李晋,肖晓等.数学形态滤波与大地电磁噪声压制.地球物理学报,2012,55(5):1784-1793.Tang Jingtian,Li Jin,Xiao Xiao et al.Mathematical morphology filtering and noise suppression of magnetotelluric sounding data.Chinese Journal of Geophy-sics,2012,55(5):1784-1793.
[8]
Trad D O,Travassos J M.Wavelet filtering of magnetotelluric data.Geophysics,2000,65(2):482-491.
[9]
Manoj C,Nagarajan N.The application of artificial neural networks to magnetotelluric time-series analysis.Geophysical Journal of the Royal Astronomical Society,2010,153(2):409-423.
[10]
Weckmann U,Magunia A,Ritter O.Effective noise se-paration for magnetotelluric single site data processing using a frequency domain selection scheme.Geophysical Journal International,2005,161(3):635-652.
[11]
何兰芳,王绪本,何展翔等.MT时间序列的小波去噪分析.地震地质,2001,23(2):222-226.He Lanfang,Wang Xuben,He Zhanxiang et al.Wavelet-based denoising of MT time series.Seismology & Geology,2001,23(2):222-226.
蔡剑华,肖晓.基于小波自适应阈值去噪的MT信号处理方法.地球物理学进展,2015,30(6):2433-2439.Cai Jianhua,Xiao Xiao.Method of processing magnetotelluric signal based on the adaptive threshold wavelet.Progress in Geophysics,2015,30(6):2433-2439.
[14]
王书明,王家映.大地电磁信号统计特征分析.地震学报,2004,26(6):669-674.Wang Shuming,Wang Jiaying.Analysis on statistic characteristics of magnetotelluric signal.Acta Seismologica Sinica,2004,26(6):669-674.
[15]
王书明,王家映.关于大地电磁信号非最小相位性的讨论.地球物理学进展,2004,19(2):216-221.Wang Shuming,Wang Jiaying.Discussion on the non-minimum phase of magnetotelluric signals.Progress in Geophysics,2004,19(2):216-221.
[16]
Rinen A,Oja E.A fast fixed-point algorithm for independent component analysis.MIT Press,USA,1997,1483-1492.
[17]
Hyvarinen A,Oja E.Independent component analysis:algorithms and applications.Neural Networks,2000,13(4):411-430.
[18]
杨福生,洪波.独立分量分析的原理与应用.北京:清华大学出版社,2006,97-101.
[19]
海韦里恩,卡尔胡恩,奥亚.独立成分分析.北京:电子工业出版社,2014,138-152.
[20]
盛骤,谢式千.概率论与数理统计及其应用.北京:高等教育出版社,2004,87.
[21]
余先川,胡丹.盲源分离理论与应用.北京:科学出版社,2011,35-42,51-104.
[22]
陈艳,何英,朱小会.基于小波变换的独立分量分析及其在图像分离中的应用.现代电子技术,2007,30(24):131-134.Chen Yan,He Ying,Zhu Xiaohui.ICA based wavelet transform and its application to image separation.Modern Electronics Technique,2007,30(24):131-134.
