Decoupled Approach to UHR De-ghosting with Proximal Gradient

INTRODUCTION

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.