SEG Technical Program Expanded Abstracts 2016 2016
DOI: 10.1190/segam2016-13870908.1
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Scattering angle-based filtering via extension in velocity

Abstract: SUMMARYThe scattering angle between the source and receiver wavefields can be utilized in full-waveform inversion (FWI) and in reverse-time migration (RTM) for regularization and quality control or to remove low frequency artifacts. The access to the scattering angle information is costly as the relation between local image features and scattering angles has non-stationary nature. For the purpose of a more efficient scattering angle information extraction, we develop techniques that utilize the simplicity of t… Show more

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Cited by 22 publications
(19 citation statements)
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“…The capability of inverting of decoupled parameters can be investigated for a given vertical wavenumber, separately. The scattering of monochromatic plane waves for different wavenumbers in a perturbed medium is determined by the scattering angle-wavenumber relation (Mora 1989;Alkhalifah 2015;Kazei et al 2016) using a locally homogeneous medium assumption. Utilizing this property we are going to examine the ability of the inversion in decoupling parameters for particular vertical wavenumber K z .…”
Section: Effective Angle Of Illuminationmentioning
confidence: 99%
“…The capability of inverting of decoupled parameters can be investigated for a given vertical wavenumber, separately. The scattering of monochromatic plane waves for different wavenumbers in a perturbed medium is determined by the scattering angle-wavenumber relation (Mora 1989;Alkhalifah 2015;Kazei et al 2016) using a locally homogeneous medium assumption. Utilizing this property we are going to examine the ability of the inversion in decoupling parameters for particular vertical wavenumber K z .…”
Section: Effective Angle Of Illuminationmentioning
confidence: 99%
“…Recently, the merger of migration velocity analysis with FWI (Symes 2008;Almomin & Biondi 2012;Allemand & Lambaré 2015;Wu & Alkhalifah 2015b;Alkhalifah & Wu 2016) has gained popularity in the context of improving the prospect of converging to a global minimum. Moreover, the isolation of desired wavenumbers in the gradient using conditioning and filtering (Albertin et al 2013;Tang et al 2013;Alkhalifah 2015;Kazei et al 2016) helps such convergence prospect. Despite the potential of all these methods to alleviate the non-linearity issue, they usually pay the price with a significant increase in computational cost.…”
Section: Introductionmentioning
confidence: 99%
“…We attribute the failure of the regularization methods to provide a decent estimate of the model to the major complexities (fine structures of the original Marmousi) in the model itself and lack of low frequencies (actually we used a single frequency of 3 Hz). The complexities do not fall easily into a regularized update, an additional tool taking into account local model features such as a scattering angle-based filter (Kazei et al, 2016) could help the convergence of the inversion.…”
Section: Discussionmentioning
confidence: 99%