Two-dimensional fast generalized Fourier interpolation of seismic records

Mostafa Naghizadeh and Kris Innanen

ABSTRACT

The fast generalized Fourier transform (FGFT) algorithm is extended to two-dimensional (2D) data cases. The 2D FGFT algorithm provides a fast and non-redundant alternative for the simultaneous time-frequency and space-wavenumber analysis of the data with time-space dependencies. The transform decomposes the data based on the local slope information, and therefore making it possible to extract weight function based on dominant dips from the alias-free low frequencies. By projecting the extracted weight function to the alias-contaminated high frequencies and utilizing a least-squares fitting algorithm, a beyond-alias interpolation method is accomplished. Synthetic and real data examples are provided to examine the performance of the proposed interpolation method.

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