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Technical Paper: Bayesian Deghosting Approach for Multimeasurement Streamer Data

Society: SEG
Paper Number: 1075
Presentation Date: 2014
 

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.

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