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Next: Predictive deconvolution Up: Introduction Previous: Data space and image

Attenuation of multiples in data space

The standard approach in seismic data processing is to attenuate the multiples before imaging, that is, in data space. Most algorithms for the attenuation of multiples in data space are based on three main characteristics of the multiples: (1) their periodicity in arrival time (predictive deconvolution), (2) their difference in moveout with respect to the primaries in CMPs ($f$-$k$ and $\tau$-$p$ filtering) and (3) their predictability as the auto-convolution of the primaries (Surface Related Multiple Elimination (SRME)). Each of these approaches have distinctive advantages and disadvantages.