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Seismic noise attenuation based on a dip-separated filtering method
HUI LV
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School of Civil Engineering and Architecture, Nanchang Hangkong University, 696 South Fenghe Av., Nanchang 330063, Jiangxi Province, P. R. China.,
JSE 2020, 29(4), 327–342;
Submitted: 9 June 2025 | Revised: 9 June 2025 | Accepted: 9 June 2025 | Published: 9 June 2025
© 2025 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract
Lv, H., 2020. Seismic noise attenuation based on a dip-separated filtering method. Journal of Seismic Exploration, 29: 327-342. Mode decomposition and reconstruction is a commonly used denoising algorithm for seismic data. The principle of the decomposition based method is that the signal and noise can be represented by different parts in a mode decomposition process. While the eatures of useful signals can be captured by the principal components, the noise is separated out by rejecting the less important components during the reconstruction process. The decomposition based method can be optimally applied in the requency-space domain, where signal and noise are separated by their differences in the wavenumber spectrum. The useful signals are mainly corresponding to the ow-wavenumber components, i.e., less oscillating, while the noise corresponds to the ighly oscillating components. Such decomposition acts as a dip filter, which can be combined with a spatial coherency based smoothing operator. The overall algorithm is thus a dip-separated structural filtering method. In this paper, we use the variational mode decomposition (VMD) method to decompose the seismic data into several dipping components, which is followed by a low-rank approximation filtering step. We apply the proposed method to both synthetic and field data examples and obtain satisfactory results.
Keywords
noise attenuation
filtering
variational mode decomposition
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