Attenuation of spatial aliasing by means of stationary-wavelet and slant-stack transforms

Abstract

Spatial aliasing happens in some seismic data acquisition and affects severely the performance of multichannel data processing and interpretation. Conventional methods (e.g. antialias filtering) remove high-frequency information from data in hand and distort the signals. The procedure we present here produces a unaliased estimation of all frequency components within the original seismic wavefield. The method is benefitted from the advantages of the Wavelet and Radon transforms, for instance the overlap of information between wavelet scales at the same frequency, in decomposing the seismic time series. We demonstrated the performance of the developed dealiasing algorithm in wavelet-Radon domain by applying on synthetic seismic data.