Advanced Modeling And Imaging For Seismic Acquisition – A GOM Subsalt Example

Zhu, Xiaowei; Cao, Jun; Ashabranner, D.; Sood, Swati; Brewer, Joel; Mosher, Charles C.

doi:10.1190/segam2012-0858.1

Cited by 1 publication

(1 citation statement)

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“…A target-oriented strategy using a data set obtained by generalized Born modeling based on a single scattering approximation to the full wave equation can use wavefield-based velocity estimation to focus on improving velocities in subsalt regions (Tang and Biondi, 2011). In addition, others focus effort on investigating the impact of acquisition geometries on subsalt imaging (Kapoor et al, 2007;VerWest and Lin, 2007;Burch et al, 2010;Zhu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Staining algorithm for seismic modeling and migration

Chen

Jia

2014

GEOPHYSICS

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In seismic migration, some structures such as those in subsalt shadow zones are not imaged well. The signal in these areas may be even weaker than the artifacts elsewhere. We evaluated a method to significantly improve the signalto-noise ratio (S/N) in poorly illuminated areas of the model. We constructed a "phantom" wavefield: an extension of the wavefield to the complex domain. The imaginary wavefield was synchronized with the real wavefield, but it contained only the events relevant to a target region of the model, which was specified using a staining algorithm. The real wavefield interacted with the entire model. However, all structures except for the target were transparent to the imaginary wavefield, which is excited only when the real wavefront arrives at the target structure. The real and the imaginary source wavefields were crosscorrelated with the regular receiver wavefield. The results were revealed in two images: the conventional reverse time migration image and an image of the target region only. Synthetic experiments showed that the S/N of the target structures was improved significantly, with other structures effectively muted.

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