Magnetotelluric noise elimination for oil and gas exploration based on CEEMDAN and ICA
CAO Xiaoling1,2, TANG Xingong1, JIANG Tao3
1. Key Laboratory of Exploration Technologies for Oil and Gas Resources(Yangtze University), Ministry of Education, Wuhan, Hubei 430100, China; 2. School of Information and Mathematics, Yangtze University, Jingzhou, Hubei 434023, China; 3. School of Electronic Information, Yangtze University, Jingzhou, Hubei 434023, China
Abstract：The noise in magnetotelluric signals seriously affects the observation results of magnetotelluric exploration, which leads to serious deviations in subsequent inversion and interpretation and affects the effect of oil and gas exploration. Therefore, this paper presents a denoising method based on complete ensemble empirical mode decomposition (CEEMD) with adaptive noise (CEEMDAN) and independent component analysis (ICA). This method effectively combines the CEEMDAN method in EMD with the ICA method in blind source separation (BSS). Firstly, the improved endpoint detection technology is used to identify the noisy signal segments in the electromagnetic signal. Then, the extracted noisy signal segments are decomposed by CEEMDAN, and the representative components of the intrinsic mode function (IMF) are extracted and processed by ICA to eliminate the noise. After that, the obtained independent components are used for the reverse reconstruction of useful MT signals. Finally, the MT signal without noise pollution is spliced with the useful MT signals after denoising to obtain the final complete denoised MT signal. The results of experiments on synthetic signals and measured MT signals show that the noise in MT signals can be effectively eliminated by this method.
曹小玲, 唐新功, 蒋涛. 基于CEEMDAN和ICA的油气勘探大地电磁噪声消除方法[J]. 石油地球物理勘探, 2023, 58(3): 740-750.
CAO Xiaoling, TANG Xingong, JIANG Tao. Magnetotelluric noise elimination for oil and gas exploration based on CEEMDAN and ICA. Oil Geophysical Prospecting, 2023, 58(3): 740-750.
BERDICHEVSKY M N,DIMITRIEV V I.Basic Principles of Interpretation of Magnetotelluric Soun-ding Curves[M].Geoelectric & Geothermal Studies,1976,163-221.
[2]
KAUFMAN A A,KELLER G V.The Magnetotelluric Sounding Method[M].Elsevier Scientific Pub.Co.,Amsterdam,1981.
[3]
CAI J.A combinatorial filtering method for magnetotelluric data series with strong interference[J].Arabian Journal of Geosciences,2016,9(13):628.
[4]
CHEN R,HE Z,HE L,et al.Random noise and coherent interference estimation of MT instrument [C].2008 International Conference on Computer and Electrical Engineering,2008,368-372.
[5]
SIMS W E,BOSTICK F X,SMITH H W.The estimation of magnetotelluric impedance tensor elements from measured data[J].Geophysics,1971,36(5):938-942.
[6]
EGBERT G D.Robust multiple-station magnetotelluric data processing[J].Geophysical Journal International,1997,130(2):475-496.
[7]
SHALIVAHAN,BHATTACHARYA B B.How remote can the far remote reference site for magnetotelluric measurements be?[J].Journal of Geophysical Research:Solid Earth,2002,107(B6):ETG 1-1-ETG 1-7.
[8]
ESCALAS M,QUERALT P,LEDO J,et al.Polarisation analysis of magnetotelluric time series using a wavelet-based scheme:a method for detection and characterisation of cultural noise sources[J].Physics of the Earth and Planetary Interiors,2013,218:31-50.
[9]
TARY J B,HERRERA R H,HAN J,et al.Spectral estimation:What is new? What is next?[J].Reviews of Geophysics,2014,52(4):723-749.
[10]
CHEN J,HEINCKE B,JEGEN M,et al.Using empirical mode decomposition to process marine magnetotelluric data[J].Geophysical Journal International,2012,190(1):293-309.
[11]
NEUKIRCH M,GARCIA X.Nonstationary magnetotelluric data processing with instantaneous parameter[J].Journal of Geophysical Research:Solid Earth,2014,119(3):1634-1654.
[12]
WANG H,CAMPANYÀ J,CHENG J,et al.Synthesis of natural electric and magnetic time-series using inter-station transfer functions and time-series from a neighboring site (STIN):applications for processing MT data[J].Journal of Geophysical Research:Solid Earth,2017,122(8):5835-5851.
[13]
李晋,燕欢,汤井田,等.基于匹配追踪和遗传算法的大地电磁噪声压制[J].地球物理学报,2018,61(7):3086-3101.LI Jin,YAN Huan,TANG Jingtian,et al.Magnetotelluric noise suppression based on matching pursuit and genetic algorithm[J].Chinese Journal of Geophysics,2018,61(7):3086-3101.
[14]
曹小玲,严良俊,陈清礼,等.盲源分离算法在大地电磁信号去噪中的应用[J].物探化探计算技术,2017,39(4):456-464.CAO Xiaoling,YAN Liangjun,CHEN Qingli,et al.An application of blind source separation algorithm for denoising in magnetotelluric signal[J].Computing Techniques for Geophysical and Geochemical Exploration,2017,39(4):456-464.
[15]
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[J].Oil Geophy-sical Prospecting,2018,53(1):206-213.
[16]
CAO X,YAN L.Power line interference noise elimination method based on independent component ana-lysis in wavelet domain for magnetotelluric signal[J].Geosystem Engineering,2018,21(5):251-261.
[17]
HUANG N E,SHEN Z,LONG S R,et al.The empiri-cal mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London.Series A:Mathematical,Physical and Engineering Sciences,1998,454(1971):903-995.
[18]
WU Z,HUANG N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):1-41.
[19]
TORRES M E,COLOMINAS M A,SCHLOTTHAUER G,et al.A complete ensemble empirical mode decomposition with adaptive noise [C].2011 IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP),2011,4144-4147.
[20]
JUTTEN C,HERAULT J.Blind separation of sources,part I:an adaptive algorithm based on neuromimetic architecture[J].Signal Processing,1991,24(1):1-10.
[21]
WANG S,WANG J.Analysis on statistic characteristics of magnetotelluric signal[J].Acta Seismologica Sinica,2004,17(6):735-740.
[22]
王书明,王家映.关于大地电磁信号非最小相位性的讨论[J].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[J].Progress in Geophysics,2004,19(2):216-221.
[23]
周媛媛,常莹,陈浩,等.基于参考台的盲源分离法在抑制地磁场近场噪音中的应用研究[J].地球物理学报,2019,62(2):572-586.ZHOU Yuanyuan,CHANG Ying,CHEN Hao,et al.Application of reference-based blind source separation method in the reduction of near-field noise of geomagnetic measurements[J].Chinese Journal of Geophy-sics,2019,62(2):572-586.
[24]
COMON P,JUTTEN C.Handbook of Blind Source Separation:Independent Component Analysis and Applications[M].Academic Press,Oxford,2010,208-220.
[25]
曹小玲,严良俊,蒋涛.基于DWT-EEMD的盲源分离算法在MT工频干扰消除中的应用[J].煤田地质与勘探,2018,46(2):164-172.CAO Xiaoling,YAN Liangjun,JIANG Tao.Application of blind source separation algorithm based on DWT-EEMD in removal of power line interference for MT[J].Coal Geology & Exploration,2018,46(2):164-172.
[26]
李晋,汤井田,王玲,等.基于信号子空间增强和端点检测的大地电磁噪声压制[J].物理学报,2014,63(1):019101.LI Jin,TANG Jingtian,WANG Ling,et al.Noise suppression for magnetotelluric sounding data based on signal subspace enhancement and endpoint detection[J].Acta Physica Sinica,2014,63(1):019101.
