Abstract
Summary Empirical mode decomposition (EMD) becomes popular recently for random noise attenuation because of its convenient implementation and ability in dealing with non-stationary seismic data. In this paper, we summarize the existing use of EMD in seismic data denoising and introduce a general hybrid scheme which combine f-x EMD with one other existing denoising approach. The novel hybrid scheme can achieve a better denoising performance compared with the conventional f-x EMD and the other selected denoising approach. Instead of combining f-x EMD with f-x predictive filtering, wavelet thresholding and curvelet thresholding, we propose to combine f-x EMD with f-x multichannel singular spectrum analysis (MSSA), which can obtain cleaner denoised section compared with f-x MSSA and can preserve dipping energy compared with f-x EMD.
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