We have presented a new dealiasing inversion technique for 3D multichannel data. The method is based on least-squares theory and wave equation interpolation for missing data using the azimuth moveout operator. The process takes advantage of the abundance of seismic traces in multichannel recording to interpolate beyond aliasing. The technique is implemented in the Fourier domain of log-stretched data and the inversion is split into independent frequencies. To accelerate the convergence of the iterative solution we precondition the inversion by the stacking fold of the data. Preliminary results on 3D synthetic data are very promising and prove that the method yields better results than conventional processing.
Current work in progress focuses on improving the numerical implementation and better regularization of the inversion.