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Minimum weighted norm interpolation (MWNI) as originally developed by Liu, Sacchi and Trad is now a commonly accepted method for 5D interpolation. Although people generally like the appearance of the data that is produced by this algorithm, there is little understanding by many users about how the algorithm works, whether it is preserving all the character of the data, and what the limitations are. This lack of understanding has led to some misunderstandings about its capabilities, especially with regards to its ability to overcome spatial aliasing. This presentation will attempt to explain how MWNI works, examine what it does to the data, and illuminate some of its limitations.
Peter Cary has B.Sc. and M.Sc. degrees in physics, and a B.A.degree in philosophy from the University of Toronto, and a Ph.D. in geophysics (1987) from Cambridge University, England. He worked for Chevron both in Calgary and in La Habra, California from 1982 to 1984 and was Manager of Geophysical Research with Pulsonic Geophysical Ltd. from 1988 to 1996. He is presently Chief Geophysicist at Sensor Geophysical Ltd. in Calgary. He has presented and published many papers on seismic processing, and served as technical program chairman of the SEG 2000 Annual Meeting and of the 1993 CSEG Annual Meeting. He was president of the CSEG in 2004-05 and was also 2nd V.P. of the CSEG in 1996-97. He was an associate editor (seismic processing) of Geophysics from 1998-2001. One of his specialities is multicomponent seismic data.