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Volume 67, Issue 5
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

A simple and accurate traveltime approximation is important in many applications in seismic data processing, inversion and modelling stages. Generalized moveout approximation is an explicit equation that approximates reflection traveltimes in general two‐dimensional models. Definition of its five parameters can be done from properties of finite offset rays, for general models, or by explicit calculation from model properties, for specific models. Two versions of classical finite‐offset parameterization for this approximation use traveltime and traveltime derivatives of two rays to define five parameters, which makes them asymmetrical. Using a third ray, we propose a balance between the number of rays and the order of traveltime derivatives. Our tests using different models also show the higher accuracy of the proposed method. For acoustic transversely isotropic media with a vertical symmetry axis, we calculate a new moveout approximation in the generalized moveout approximation functional form, which is explicitly defined by three independent parameters of zero‐offset two‐way time, normal moveout velocity and anellipticity parameter. Our test shows that the maximum error of the proposed transversely isotropic moveout approximation is about 1/6 to 1/8 of that of the moveout approximation that had been reported as the most accurate approximation in these media. The higher accuracy is the result of a novel parameterization that do not add any computational complexity. We show a simple example of its application on synthetic seismic data.

© 2019 European Association of Geoscientists & Engineers © 2019 European Association of Geoscientists & Engineers
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2019-03-07
2024-04-19

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A new parameterization for generalized moveout approximation, based on three rays
Geophysical Prospecting 67, 1243 (2019); https://doi.org/10.1111/1365-2478.12770
/content/journals/10.1111/1365-2478.12770
/content/journals/10.1111/1365-2478.12770
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  • Article Type: Research Article
Keyword(s): Anisotropy; Inversion; Parameter estimation; Velocity analysis

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