Two-dimensional variational mode decomposition for seismic record denoising

Abstract Seismic signal denoising is the main task of seismic data processing. This study proposes a novel method for record on basis two-dimensional variational mode decomposition (2D-VMD) algorithm and permutation entropy (PE). 2D-VMD recently introduced adaptive in which $K$ $\alpha $ are important decomposing parameters to determine number modes, have predictable effect nature detected modes. We present address problems selecting appropriate values apply these proposed method. First, 2D signal, can decompose it into modes with specific direction vibration characteristics. Next, PE value each calculated. Random noise components eliminated according value. Finally, reconstructed acquire denoised signal. Experimental simulation results indicate that has remarkable synthetic real signals. hope this new inspire help evaluate ideas field.