2002
DOI: 10.1046/j.1365-2478.2002.00285.x
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Second‐order interpolation of traveltimes

Abstract: To carry out a 3D prestack migration of the Kirchhoff type is still a task of enormous computational effort. Its efficiency can be significantly enhanced by employing a fast traveltime interpolation algorithm. High accuracy can be achieved if second‐order spatial derivatives of traveltimes are included in order to account for the curvature of the wavefront. We suggest a hyperbolic traveltime interpolation scheme that permits the determination of the hyperbolic coefficients directly from traveltimes sampled on … Show more

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Cited by 29 publications
(33 citation statements)
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“…It can, however, be shown (VANELLE and GAJEWSKI, 2002), that a hyperbolic approximation Vol. 159, 2002 Amplitude Migration Weights from Travel Times of travel times is superior to the parabolic expansion (C.1).…”
Section: Appendix C Travel Times and Second-order Derivative Matricesmentioning
confidence: 99%
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“…It can, however, be shown (VANELLE and GAJEWSKI, 2002), that a hyperbolic approximation Vol. 159, 2002 Amplitude Migration Weights from Travel Times of travel times is superior to the parabolic expansion (C.1).…”
Section: Appendix C Travel Times and Second-order Derivative Matricesmentioning
confidence: 99%
“…This is, however, not necessary since these derivatives can be extracted from traveltime data, that is required for the construction of the diffraction travel-time surface for the stack in any event. Using these derivatives also leads to an effective and highly accurate algorithm for interpolating travel times from the coarse input grid onto the fine migration grid (VANELLE and GAJEWSKI, 2002). The geometrical spreading can also be written in terms of second-order derivatives of travel times (see Appendix B).…”
Section: Schleichermentioning
confidence: 99%
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“…I demonstrate the traveltime interpolation with examples ranging from velocity models with analytic solutions to a 3-D extension of the highly complex Marmousi model. Parts of this chapter were published in Vanelle and Gajewski (2002a).…”
Section: Introductionmentioning
confidence: 99%