SEG Technical Program Expanded Abstracts 2017 2017
DOI: 10.1190/segam2017-17742694.1
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Acoustic VTI wavefield tomography of P-wave surface and VSP data

Abstract: CitationLi V, Tsvankin I, Guitton A, Alkhalifah T (2017) Acoustic VTI wavefield tomography of P-wave surface and VSP data. SUMMARYTransversely isotropic (TI) models have become standard in depth imaging and are often used in waveform inversion. Here, we develop a robust wave-equation-based tomographic algorithm for building acoustic VTI (transversely isotropic with a vertical symmetry axis) velocity models from P-wave surface reflection and vertical seismic profiling (VSP) data. Wavefield extrapolation is per… Show more

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Cited by 2 publications
(4 citation statements)
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“…Extension of the algorithm described in Li et al . () to tilted transverse isotropy requires adjustments in the objective function and inversion strategy. For dipping events in TTI models, the normal‐moveout (NMO) velocity is controlled by its zero‐dip value V nmo (0) and δ.…”
Section: Methodsmentioning
confidence: 99%
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“…Extension of the algorithm described in Li et al . () to tilted transverse isotropy requires adjustments in the objective function and inversion strategy. For dipping events in TTI models, the normal‐moveout (NMO) velocity is controlled by its zero‐dip value V nmo (0) and δ.…”
Section: Methodsmentioning
confidence: 99%
“…; V. Li et al . ) are limited to TI media with a vertical symmetry axis (VTI). Weibull and Arntsen () present an IDT algorithm based on the TTI elastic wave equation but their imaging condition employs a purely isotropic wave‐mode decomposition technique.…”
Section: Introductionmentioning
confidence: 99%
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“…The efficiency of LSRTM can be significantly enhanced with nonstationary matching filters applied to gradient preconditioning (Guitton, 2017). P-wave kinematics in VTI media is controlled by the zero-dip normal-moveout velocity (V nmo ) and anisotropy parameters η and δ. VTI tomography needs to address two inherent properties of P-wave reflection moveout: its low sensitivity to δ and the trade-off between V nmo an η. V. Li et al (2017a) present an IDT algorithm designed to update V nmo , η, and δ in the extended domain starting from a purely isotropic model. Here, we modify their methodology by including nonstationary matching filters that substantially improve the quality of extended images.…”
Section: Introductionmentioning
confidence: 99%