Multiple attenuation with multidimensional prediction-error filters
نویسنده
چکیده
Multiple attenuation in complex geology remains a very intensive research area. The proposed technique aims to use the spatial predictability of both the signal (primaries) and noise (multiples) in order to perform the multiple attenuation in the time domain. The spatial predictability is estimated with multidimensional prediction-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 from the Gulf of Mexico with 2-D and 3-D filters. The 3-D filters allow the best attenuation result. In particular, 3-D filters seem to cope better with inaccuracies present in the multiple model for short offset and diffracted multiples.
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