Time-varying Sea Surfaces from 3D Dual-sensor Streamer Data

Abstract

that resolution is compromised leading to misinterpretation and mislocation of events. Realistic time-varying sea surfaces can be modeled based on Pierson-Moskowitz sea surface spectrum and Hasselmann’s directivity correction. Imaged sea surfaces are obtained by applying an imaging technique that is based on decomposed wavefields from dual sensor streamers. The speed and direction of the moving sea surface are obtained by performing spectral analysis on the imaged sea surface. A first imaged sea surface result from 3D field data acquired offshore Brazil is shown.