Further Application of Frequency-diverse Filtering - A New 3D Deghosting Algorithm for Streamers

Frequency-diverse filtering is a method that combines array responses at several frequencies in order to overcome spatial aliasing. The method was recently introduced for simultaneous source separation. As a further application example, we present the formulation and results on synthetic data for 3D deghosting of marine streamer data.

We use a set of basis functions that include the ghost term and determine model space parameters (local frequency, slowness, time) using a one-norm (l1) optimization procedure. We illustrate the potential of the method with synthetic data from the SEM model, showing effective removal of receiver-side ghosts in a 3D sense for data acquired with coil acquisition.