Decoupled Approach to UHR De-ghosting with Proximal Gradient

Summary Ultra-high resolution (UHR) seismic data faces significant de-ghosting challenges due to uncertainty in receiver depth and sea-surface fluctuations. We propose a novel approach that decouples these effects using tailored regularization and proximal gradient methods. This improves de-ghosting accuracy, addressing ghost model uncertainty for enhanced preprocessing and precise wavefield redatuming.