Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/69235
Type: Artigo de periódico
Title: Image-ray Tomography
Author: Dell, S
Gajewski, D
Tygel, M
Abstract: Seismic tomography is a well-established approach to invert smooth macro-velocity models from kinematic parameters, such as traveltimes and their derivatives, which can be directly estimated from data. Tomographic methods differ more with respect to data domains than in the specifications of inverse-problem solving schemes. Typical examples are stereotomography, which is applied to prestack data and Normal-Incidence-Point-wave tomography, which is applied to common midpoint stacked data. One of the main challenges within the tomographic approach is the reliable estimation of the kinematic attributes from the data that are used in the inversion process. Estimations in the prestack domain (weak and noisy signals), as well as in the post-stack domain (occurrence of triplications and diffractions leading to numerous conflicting dip situations) may lead to parameter inaccuracies that will adversely impact the resulting velocity models. To overcome the above limitations, a new tomographic procedure applied in the time-migrated domain is proposed. We call this method Image-Incident-Point-wave tomography. The new scheme can be seen as an alternative to Normal-Incidence-Point-wave tomography. The latter method is based on traveltime attributes associated with normal rays, whereas the Image-Incidence-Point-wave technique is based on the corresponding quantities for the image rays. Compared to Normal-Incidence-Point-wave tomography the proposed method eases the selection of the tomography attributes, which is shown by synthetic and field data examples. Moreover, the method provides a direct way to convert time-migration velocities into depth-migration velocities without the need of any Dix-style inversion.
Subject: Tomography
Image ray
Country: EUA
Editor: Wiley-blackwell
Rights: fechado
Identifier DOI: 10.1111/1365-2478.12096
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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