Abstract：Due to dramatically changing water depth, different-period surface-related multiples exist on seismic data in Baiyun Depression located in the continental shelf-slope zone of northern South China Sea.This kind of multiples are very difficult to be suppressed with conventional techniques, such as predictive deconvolution, surface-related multiple elimination (SRME), Radon transform, and their combination.Therefore we propose in this paper a new idea called deterministic water-layer demultiple (DWD).Firstly we pick water bottom two-way reflection time from auto-correlated data on water-velocity NMO at minimum offsets, then transform t-x domain seismic data into tau-p domain data after near-offset extrapolation.After that, we predict multiple model with wavefield extrapolation.And finally we suppress multiples with adaptive matching subtraction from original data.We combine the approach with SRME and Radon transform.Our applications indicate that the combined approach eliminates effectively different-period surface-related multiples.Compared with the conventional processed sections, high-quality sections processed are obtained with the proposed approach, which reduces the risk of seismic interpretation.Meanwhile, prestack gathers inversions based on this processing can well depict sand body characteristics and their boundary.
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