3D Surface-Related Multiple Estimation for Shallow Water Aided by Full Wavefield Migration

Abstract

Summary Industry standard 3D surface-related multiple elimination (SRME) still faces challenges in shallow-water scenarios. Full wavefield migration (FWM) using surface-related multiples possesses a strong interpolation power, especially for near-offsets, by using the image as a constraint. Therefore, we propose a 3D FWM-aided surface-related multiple estimation framework for shallow water, which includes a data reconstruction step via 3D FWM and a multiple estimation step via 3D SRME or general surface multiple prediction (GSMP). Specifically, the FWM reconstructed data are combined with the observed data to feed into the 3D multiple estimation engine for better primary prediction. Application on a 3D synthetic model demonstrates a good reconstruction accuracy of 3D FWM and a good performance of the proposed framework for the challenging shallow-water scenario.