Applications of empirical mode decomposition in random noise attenuation of seismic data
Chen, Y., Zhou, C., Yuan, J. and Jin, Z., 2014. Applications of empirical mode decomposition in random noise attenuation of seismic data. Journal of Seismic Exploration, 23: 481-495. In this paper, we give an exclusive introduction about the applications of empirical mode decomposition (EMD) to random noise attenuation of seismic data. EMD can be used to denoise each 1D signal from the 2D seismic profile in time-space (t-x) domain either along the time direction or space direction. However, because of the mode-mixing problem, t-x domain EMD along the time direction will cause some damage to a useful seismic signal. A better.way is to apply EMD along the space direction and remove the highly oscillating components. The frequency-space (f-x) domain EMD can help obtain faster implementation and even better performances. In order to deal with complex seismic profiles, a hybrid denoising approach based on f-x EMD is also introduced. The hybrid denoising approach can also be inserted into an iterative blending noise attenuation framework, and can help obtain better results. We use both synthetic and field data examples to demonstrate the proposed applications of EMD.
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