Bayesian deghosting approach for multimeasurement streamer data

Abstract

Most common deghosting techniques operating on multimeasurement marine seismic data rely on a ghost model to combine pressure and vertical velocity. The ghost model provides information needed for the optimization of the signal-to-noise ratio in the broadband results. These techniques are, in general, sensitive to the accuracy of such model and can suffer from perturbations, especially at high frequencies: for instance, the coarse sampling in the crossline direction often forces these techniques to rely on a 2D ghost model, and this can induce significant inaccuracies in complex scenarios. Other modelindependent techniques combine the pressure and vertical velocity without the use of a ghost model. Although these suffer less from 3D propagation effects, they often produce suboptimal results for what concerns the S/N. We introduce a novel model-independent deghosting technique called the "Bayesian PZSUM." This technique utilizes the multimeasurement second-order statistics to estimate the upgoing wavefield optimally in the minimum mean square error (m.m.s.e) sense. We demonstrate the effectiveness of the technique on both synthetic and real data.

Three‐dimensional receiver deghosting of seismic streamer data using L1 inversion and redundant extended radon dictionary

“…(); Ozbek et al . (); Kamil and Caprioli (); Kamil, Yadari and Vassallo (); and Poole () proposed to use multi‐component data for receiver deghosting. Wu et al .…”

“…Posthumus (1993) and Ferber, Caprioli and West (2013) used streamers at different depths to deghost. Soubaras (1996); Carlson et al (2007); Robertsson et al (2008); Ozbek et al (2010); Kamil and Caprioli (2014); Kamil, Yadari and Vassallo (2014); and Poole (2014) proposed to use multicomponent data for receiver deghosting. Wu et al (2014) and Wang, Ray and Nimsaila (2014) used a progressive sparse τ −p x -p y inversion method to perform 3D joint deghosting and crossline interpolation using single-component pressure data.…”