Application of 2D Variational Mode Decomposition Method in Seismic Signal Denoising

Authors

  • Chao Liu CHN Energy Yulin Energy CO., Ltd., Yulin, China
  • Ziang Wang School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China
  • Yaping Huang School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China
  • Aiping Zeng Geophysical Prospecting and Surveying Team of Shandong Bureau of Coal Geology, Jinan, China
  • Hongming Fan Geophysical Prospecting and Surveying Team of Shandong Bureau of Coal Geology, Jinan, China

DOI:

https://doi.org/10.5755/j02.eie.36100

Keywords:

2D variable mode decomposition, Random noise, Signal Denoising, Forward modelling

Abstract

Seismic data are typical nonlinear and nonstationary data. In the acquisition and processing of seismic data, many factors interfere with it. Seismic data contain both effective waves and random noises, seriously affecting the quality of seismic data and not conducive to the goal of fine interpretation of subsequent seismic data. Therefore, studying new seismic data denoising methods is beneficial for improving the quality of seismic data and plays a very important role in subsequent seismic data interpretation. In this paper, the principle of variational mode decomposition (VMD) and 2D-VMD is introduced in detail, and the seismic profile with a simple signal and fault model is denoised. Compared to traditional empirical mode decomposition (EMD), the 2D-VMD method has the best seismic data denoising effect. The test results of the synthesised signal show that the 2D-VMD method has a signal-to-noise ratio of 47.14 dB after denoising, which is higher than the signal-to-noise ratio after EMD and VMD denoising, indicating that it has a better denoising effect. The VMD and 2D-VMD methods are applied to the denoising of actual seismic data. The application results show that the 2D-VMD method can effectively improve the quality of the seismic data, enhance the continuity and reliability of the seismic data, and is conducive to the fine interpretation of subsequent seismic data.

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Published

2024-04-26

How to Cite

Liu, C., Wang, Z., Huang, Y., Zeng, A., & Fan, H. (2024). Application of 2D Variational Mode Decomposition Method in Seismic Signal Denoising. Elektronika Ir Elektrotechnika, 30(2), 46-53. https://doi.org/10.5755/j02.eie.36100

Issue

Section

SIGNAL TECHNOLOGY