Seismic anisotropy in Trinidad: A new tool for lithology prediction

Alkhalifah, Tariq; Rampton, David

doi:10.1190/1.1438964

Cited by 27 publications

(16 citation statements)

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“…Following this work, many studies have estimated g from seismic reflection data (see for example Alkhalifah and Rampton (2001)), and most of these have concluded that many formations of the sedimentary crust have values of g greater than 0.07. It follows from Eq.…”

Section: Some Implicationsmentioning

confidence: 98%

On shear-wave triplication in transversely isotropic media

Thomsen

Dellinger

2003

Journal of Applied Geophysics

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Section: Some Implicationsmentioning

confidence: 98%

On shear-wave triplication in transversely isotropic media

Thomsen

Dellinger

2003

Journal of Applied Geophysics

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“…Also η can be estimated using long-offset (nonhyperbolic) moveout from horizontal reflectors. Note that η has the potential of becoming an important tool in lithology discrimination from surface seismic data, especially in sedimentary sequences containing alternate shales and sandstones (Alkhalifah and Rampton, 2001;Tsvankin and Thomsen, 1994).…”

Section: Discussionmentioning

confidence: 99%

Anisotropic P-wave velocity analysis and seismic imaging in onshore Kutch sedimentary basin of India

Behera

Khare

Sarkar

2011

Journal of Applied Geophysics

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“…The feature in Figure 9b indicated with white arrows is associated with Barnett Shale, which is known to be a VTI medium. It can be used as a direct anisotropy indicator (Alkhalifah and Rampton, 2001;Abbad et al, 2009).…”

Section: Applicationmentioning

confidence: 99%

Horizon-based semiautomated nonhyperbolic velocity analysis

Zhang

Zhao

et al. 2014

GEOPHYSICS

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With higher capacity recording systems, long-offset surveys are becoming common in seismic exploration plays. Long offsets provide leverage against multiples, have greater sensitivity to anisotropy, and are key to accurate inversion for shear impedance and density. There are two main issues associated with preserving the data fidelity contained in the large offsets: (1) nonhyperbolic velocity analysis and (2) mitigating the migration/NMO stretch. Current nonhyperbolic velocity analysis workflows first estimate moveout velocity V nmo based on the offset-limited gathers, then pick an effective anellipticity η eff using the full-offset gathers. Unfortunately, estimating V nmo at small aperture may be inaccurate, with picking errors in V nmo introducing errors in the subsequent analysis of effective anellipticity. We have developed an automated algorithm to simultaneously estimate the nonhyperbolic parameters. Instead of directly seeking an effective stacking model, the algorithm finds an interval model that gives the most powerful stack. The searching procedure for the best interval model was conducted using a direct, global optimization algorithm called differential evolutionary. Next, we applied an antistretch workflow to minimize stretch at a far offset after obtaining the optimal effective model. The automated velocity analysis and antistretch workflow were tested on the data volume acquired over the Fort Worth Basin, USA. The results provided noticeable improvement on the prestack gathers and on the stacked data volume.

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Seismic anisotropy in Trinidad: A new tool for lithology prediction

Cited by 27 publications

References 0 publications

On shear-wave triplication in transversely isotropic media

On shear-wave triplication in transversely isotropic media

Anisotropic P-wave velocity analysis and seismic imaging in onshore Kutch sedimentary basin of India

Horizon-based semiautomated nonhyperbolic velocity analysis

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