Time variant de-ghosting and its applications in WAZ data

Abstract

The importance of de-ghosting cannot be overstated in the pursuit of a broad-band image, and an accurate estimation of the ghost delay time, explicitly, or implicitly, is critical for the de-ghosting process. We propose the uses of L2 or L1 norm of the de-ghosted data in search of the ghost delay time. This method has proven robust and stable using both synthetic data and real data. We have built a time-variant adaptive de-ghosting method with this method, applied it for wide azimuth (WAZ) and full azimuth (FAZ) data, and provide results in this abstract. The proposed method has the capability to handle uncertainties in receiver depth and water velocity, and 3D effects, which makes it practical to apply.