Projection filtering has been used for many years in seismic processing as a tool to extract a meaningful signal out of noisy data. We show that its effectiveness reaches a limit when seismic events are affected by static shifts. Such shifts degrade the lateral coherency of the data, which is the strongest hypothesis required by projection filtering. We propose a method to estimate projection filters and static shifts simultaneously in order to perform noise attenuation in the presence of static shifts in the data. We then show results on synthetic and real data to demonstrate denoising capabilities of our algorithm.


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