Adaptive dip filtering in the F‐X domain

Customary dip filters involve as a rule an a priori design that may lead to disappointing results when the requirements due to the limited aperture of the array and to the absence of spatial aliasing are only partially met. This paper reformulates in the f-x domain the problem of dip filtering. The technique proposed is based on an estimation of the prediction error filters that characterize the wavefields to be separated, and avoids the difficult problem of determining the dips of the events. The performances of the adaptive dip filter are illustrated with synthetic simulations and real data examples.