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LunchBox Geophysics is free! Simply bring your own lunch (refreshments provided) and enjoy.
In recent years, multi-dimensional trace interpolation has become popular in the Calgary processing marketplace. The principle goal of this interpolation is to increase the spatial sampling of the seismic wavefield in order to improve the prestack migration response, but other benefits include less acquisition footprint, less spatial aliasing, improved continuity of shallow events, improved multiple attenuation, and improved AVO-type analysis.
In the November Recorder, Lynn Burroughs and I published an article on using matrix rank-reduction on constant-frequency slices to perform random-noise suppression on prestack seismic traces. I will show how to extend these methods to create a new type of multi-dimensional trace interpolator. Both artificial and real examples will be given.
Stewart Trickett is Manager of Research and Development at Kelman Technologies, where he has worked for the last sixteen years. He began his career in 1979 at Veritas Seismic in Calgary as a seismic applications programmer. Since then he has developed almost every type of seismic processing software, and was chief designer of Veritas's Sage and Kelman's Kismet processing systems. He has written papers on deconvolution, noise suppression, stacking, and statics. Stewart has a B.Sc. in computer science (University of British Columbia) and an M.Math. in applied mathematics (University of Waterloo).