Seismic Signal De-Noising Using Variational Mode Decomposition and Wavelet Transform

Abstract

Seismic denoising is a key step in seismic signal processing for enhancing the resolution of the seismic signal. In this paper, a seismic denoising method is introduced by using variational mode decomposition (VMD) combined with wavelet transform. VMD is used to decompose the seismic data into a series of intrisic mode functions (IMFs) from low frequency to high frequency. Since the noise is always concentrated in the high frequency components, IMFs with high frequency are denoised by using wavelet transform with a soft threshold to effectively remove the noise. Finally, the denoised IMFs and other remained IMFs are reconstructed to form a denoised signal. Synthetic data and real data are used to validate the method.