Velocity inversion and high frequency asymptotics

Kidane Araya; Seongjai Kim; Clifford J. Nolan; William W. Symes

doi:10.1117/12.255216

Velocity inversion and high frequency asymptotics

Kidane Araya, Seongjai Kim, Clifford J. Nolan, William W. Symes

Rice University

Research output: Contribution to journal › Conference article › peer-review

Abstract

Differential semblance measures are unique amongst velocity inversion objectives in having well-defined and smooth high frequency asymptotics. A version appropriate for analysis of CMP gathers and layered models is particularly easy to analyse and economical for numerical experimentation. For model-consistent data, the DS objective measures the discrepancy in takeoff slowness of rays, weighted by the energy in the data - without of course requiring that events be identified or rays traced. Numerical experiments with synthetic data illustrate the theoretical properties.

Original language	English
Pages (from-to)	116-127
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2822
DOIs	https://doi.org/10.1117/12.255216
Publication status	Published - 28 Oct 1996
Externally published	Yes
Event	Mathematical Methods in Geophysical Imaging IV 1996 - Denver, United States Duration: 4 Aug 1996 → 9 Aug 1996

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abstract = "Differential semblance measures are unique amongst velocity inversion objectives in having well-defined and smooth high frequency asymptotics. A version appropriate for analysis of CMP gathers and layered models is particularly easy to analyse and economical for numerical experimentation. For model-consistent data, the DS objective measures the discrepancy in takeoff slowness of rays, weighted by the energy in the data - without of course requiring that events be identified or rays traced. Numerical experiments with synthetic data illustrate the theoretical properties.",

author = "Kidane Araya and Seongjai Kim and Nolan, {Clifford J.} and Symes, {William W.}",

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AU - Kim, Seongjai

AU - Nolan, Clifford J.

AU - Symes, William W.

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Y1 - 1996/10/28

N2 - Differential semblance measures are unique amongst velocity inversion objectives in having well-defined and smooth high frequency asymptotics. A version appropriate for analysis of CMP gathers and layered models is particularly easy to analyse and economical for numerical experimentation. For model-consistent data, the DS objective measures the discrepancy in takeoff slowness of rays, weighted by the energy in the data - without of course requiring that events be identified or rays traced. Numerical experiments with synthetic data illustrate the theoretical properties.

AB - Differential semblance measures are unique amongst velocity inversion objectives in having well-defined and smooth high frequency asymptotics. A version appropriate for analysis of CMP gathers and layered models is particularly easy to analyse and economical for numerical experimentation. For model-consistent data, the DS objective measures the discrepancy in takeoff slowness of rays, weighted by the energy in the data - without of course requiring that events be identified or rays traced. Numerical experiments with synthetic data illustrate the theoretical properties.

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M3 - Conference article

AN - SCOPUS:0006088794

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Mathematical Methods in Geophysical Imaging IV 1996

Y2 - 4 August 1996 through 9 August 1996

ER -

Velocity inversion and high frequency asymptotics

Abstract

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