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Multiple attenuation in complex geology remains a very intensive research area. The pro- posed technique aims to use the spatial predictability of bo th the signal (primaries) and noise (multiples) in order to perform the multiple attenuat ion in the time domain. The spa- tial predictability is estimated with multidimensional pr ediction-error filters. These filters are time-variant in order to handle the non-stationarity of the seismic data. Attenuation of surface-related multiples is illustrated with field data fr om the Gulf of Mexico with 2-D and 3-D filters. The 3-D filters allow the best attenuation res ult. In particular, 3-D filters seem to cope better with inaccuracies present in the multiple model for short offset and diffracted multiples.

Multiple attenuation with multidimensional prediction‐error filters