Crossline Wavefield Reconstruction from Multi-Component Streamer Data: Joint Interpolation and 3D Up/Down Separation by Generalized Matching Pursuit

Computation of the 3D up/down separated wavefield at any desired position within a spread of marine streamers is enabled by multicomponent streamers that measure the crossline and vertical components of the particle motion in addition to the pressure. In this talk, I describe the concept of simultaneous interpolation and deghosting and present a technique called Generalized Matching Pursuit (GMP) to achieve this. As a data-dependent method, GMP can operate on data samples that are highly aliased in the crossline direction without relying on assumptions about seismic events such as linearity. The technique is naturally suitable for data with only a small number of sample positions, which may be irregularly spaced. I demonstrate the efficacy and robustness of the GMP method on several synthetic datasets of increasing complexity and in the presence of noise. I then present two examples of real data acquired by multicomponent towed cable arrays. 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). I also show a further application of the method for seismic interference cancelling. To add to my talk on my previous visit and time permitting, I will also comment on the relative contributions of the horizontal and vertical components of particle velocity in 3D pressure wavefield reconstruction, and on the role of priors in GMP. This talk is on joint work with my colleagues Massimiliano Vassallo, Kurt Eggenberger, Dirk-Jan van Manen, Kemal Özdemir, Johan Robertsson and Tony Curtis.