Publications

Multichannel reconstruction and 3D deghosting techniques based on multisensory streamer measurements of the pressure wavefield and its associated gradients were recently introduced. In particular, the generalized matching P\pursuit (GMP) technique was applied to 3D multisensor synthetic data bringing significant improvements to address aliasing arising from sparse crossline sampling. GMP achieves joint interpolation and deghosting by processing simultaneously the pressure wavefield, as well as the horizontal crossline and the vertical component of the pressure gradient vector. In this work, we describe the role of each measurement of a multisensor streamer, we describe the innovative concept of “joint interpolation and 3D deghosting”, and we present the GMP technique, supported by examples on both synthetics and real data acquired by a 3D multisensor towed-cable array. 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 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 produced a very effective reconstruction of the three-dimensional wavefield backscattered by the subsurface for each recorded seismic shot. We also describe how the reconstruction of a full-bandwidth