Improved shallow water demultiple with 3D multi-model subtraction

Shallow water environments are dominated by short period reverberation contamination. Surface-related multiple elimination (SRME) can be successfully applied but distortion at the multiple prediction stage must be minimized so that the adaptive subtraction (multiple elimination) step does not struggle when several multiple orders of the reverberation are present, within a given design window, for minimization. This abstract quantitatively reviews the issue of SRME over-prediction for both convolutional and wavefield extrapolation seabed-based approaches using synthetic and field examples. An optimal demultiple approach is proposed using only 3D non-linear multiple prediction operators with regards to predicting simultaneously and non-iteratively both the amplitude and timing of simple and pegleg source and receiver-side sea layer reverberation correctly with minimal distortion for moderately undulating shallow seabed.