Joint 3D reconstruction and deghosting of multisensor streamer data by generalized matching pursuit

Summary Multichannel reconstruction and 3D deghosting techniques based on multisensor streamer measurements of the pressure wavefield and its associated gradients were recently introduced in literature. In particular, the Generalized Matching Pursuit (GMP) technique was applied to 3D-4C synthetic data bringing significant improvements to address the aliasing arising from sparse crossline sampling. In this abstract, we present an example of real data acquired by an experimental 3D-4C towed cable array and show the performance of GMP applied to the multisensor measurements. The real data examples illustrate that GMP reconstructs and deghosts the pressure wavefield onto a 2D receiver grid uniformly sampled at 6.25 m in both, the inline and the crossline directions, starting from a very limited number of crossline samples at realistic spacings (i.e., 75 m). We describe the main technical challenges due to the nature of the signal and the limitations of the experiment. Despite these challenges, we show that GMP has produced a very effective reconstruction of the threedimensional wavefield back-scattered by the subsurface for each recorded seismic shot.