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Denoising of magnetotelluric data based on Hilbert-Huang transform |
CHEN Jun1,2( ), YAN Liang-Jun1,2( ), ZHOU Lei1,2 |
1. Key Laboratory of oil and Gas Resources and Exploration Technology of Ministry of Education, Yangtze University, Wuhan 430100, China 2. Cooperative Innovation Center of Unconventional Oil and Gas, Wuhan 430100, China |
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Abstract Near-field effects are liable to rise in magnetotelluric signals due to noise, which seriously affects the quality of the collected signals. The widely used remote reference method-Robust-still has some shortcomings in suppressing near-field interference. In this paper, after being verified using numerical simulation in terms of denoising effects, the Hilbert-Huang transform (HHT) was applied to a magnetotelluric signal with serious near-field interference, achieving remarkable effects. Meanwhile, the polarization distribution of the electric and magnetic fields was calculated using the distribution function of polarization directions. It was found that the distribution function was closer to a Gaussian distribution function, also verifying the effectiveness of the HHT in suppressing near-field interference.
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Received: 26 January 2021
Published: 21 December 2021
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Corresponding Authors:
YAN Liang-Jun
E-mail: 201972168@yangtzeu.edu.cn;yljemlab@163.com
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EMD process
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Analog empirical mode decomposition
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In the process of EMD decomposition with noise a—the signal witn triangle wave; b~f—IMF1~IMF5; g—the residual signal
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Compare the separated noise (b) with the actual noise (a)
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Dead band apparent resistivity and phase curves corresponding to non denoised time series
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Polarization direction response function without denoising
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Hilbert time spectrum of IMF with more noise frequency content
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Recalculated apparent resistivity and phase after denoising
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Polarization direction response function after denoising
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