Multiple suppression on land seismic data — Case history

Abstract

Multiple reflection problems not only exist in marine seismic data, but also in land seismic data. Due to distinct moveout differences between multiples and primary reflections in the land based seismic data, we present a processing strategy which combines stacking and f‐k filtering for multiple suppression. Stacking with velocity from the primary partially attenuates multiple energy in the original seismic data and reduces computational costs. After determining the CMP ranges with residual multiples by constant velocity scan sections and stacked sections, application of f‐k filtering to further suppress multiples in a selection of CMP gathers along the profile is cheap and robust. The results of field seismic data show that this strategy is very effective for multiple suppression in land seismic data. We expect this scheme may also be useful in other multiple attenuation methods.