Seismic random noise attenuation using MVMD and MSSA

Abstract

Seismic random noise attenuation plays an important role in seismic signal processing and geological interpretation. Due to seismic signal is a typical broadband signal, which makes it difficult to attenuate random noises contained in the whole frequency of raw seismic data. Moreover, tunning parameters in denoising methods is a difficult task, especially for filtering field data. To address the above issues, We propose a multichannel denoising scheme, termed as multi-channel variational mode decomposition (MVMD) based multi-channel singular spectrum analysis (MSSA). The proposed method first decomposes seismic data into several intrinsic mode functions (IMFs) with different center frequencies and bandwidths. Then, we adopt MSSA for each IMF by selecting different tunning parameters. To demonstrate the effectiveness of the proposed method, we apply it to field data and compare the filtered results with the traditional methods.