1887
Volume 67 Number 9
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

We consider a transversely isotropic medium that is long‐wave equivalent to a stack of thin, parallel, isotropic layers and is obtained using the Backus average. In such media, we analyse the relations among anisotropy parameters; Thomsen parameters, ε and δ, and a new parameter ϕ. We discuss the last parameter and show its essential properties; it equals 0 in the case of isotropy of equivalent medium and/or constant Lamé coefficient λ in layers. The second property occurs to make ϕ sensitive to variations of λ in thin‐bedded sequences. According to Gassmann, in isotropic media the variation of fluid content affects only the Lamé coefficient λ, not μ; thus, the sensitivity to changes of λ is an essential property in the context of possible detection of fluids. We show algebraically and numerically that ϕ is more sensitive to these variations than ε or δ. Nevertheless, each of these parameters is dependent on the changes of μ; to understand this influence, we exhibit comprehensive tables that illustrate the behaviour of anisotropy parameters with respect to specific variations of λ and μ. The changes of μ in layers can be presented by the Thomsen parameter γ that depends on them solely. Hence, knowing the values of elasticity coefficients of equivalent transversely isotropic medium, we may compute ϕ and γ, and based on the aforementioned tables, we predict the expected variation of λ; in this way, we propose a new method of possible fluid detection. Also, we show that the prior approach of possible detection of fluids, proposed by Berryman ., may be unreliable in specific cases. To establish our results, we use the Monte Carlo method; for the range and chosen variations of Lamé coefficients λ and μ – relevant to sandstones – we generate these coefficients in thin layers and, after the averaging process, we obtain an equivalent transversely isotropic medium. We repeat that process numerous times to get many equivalent transversely isotropic media, and – for each of them  – we compute their anisotropy parameters. We illustrate ϕ, ε and δ in the form of cross‐plots that are relevant to the chosen variations of λ and μ. Additionally, we present a table with the computed ranges of anisotropy parameters that correspond to different variations of Lamé coefficients.

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2019-09-10
2024-04-18
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References

  1. AdamusF.P., SlawinskiM.A. and StanoevT.2018. On effects of inhomogeneity on anisotropy in Backus average. arXiv:1802.04075 [physics.geo‐ph].
  2. BackusG.E.1962. Long‐wave elastic anisotropy produced by horizontal layering. Journal of Geophysical Research67, 4427–4440.
    [Google Scholar]
  3. BerrymanJ.G.1979. Long‐wave elastic anisotropy in transversely isotropic media. Geophysics44, 896–917.
    [Google Scholar]
  4. BerrymanJ.G., GrechkaV.Y. and BergeP.A.1999. Analysis of Thomsen parameters for finely layered VTI media. Geophysical Prospecting47, 959–978.
    [Google Scholar]
  5. BosL., DaltonD.R., SlawinskiM.A. and StanoevT.2017. On Backus average for generally anisotropic layers. Journal of Elasticity127, 179–196.
    [Google Scholar]
  6. BosL., DanekT., SlawinskiM.A. and StanoevT.2018. Statistical and numerical considerations of Backus‐average product approximation. Journal of Elasticity132, 141–159.
    [Google Scholar]
  7. CastagnaJ.P. and SmithS.W.1994. Comparison of AVO indicators: a modeling study. Geophysics59, 1849–1855.
    [Google Scholar]
  8. GassmannF.1951. Über die Elastizität poröser Medien. Vierteljahrsschrift der Naturforschenden Gesellschaft in Zürich96, 1–23.
    [Google Scholar]
  9. KudelaI. and StanoevT.2018. On possibile issues of Backus average. arXiv:1804.01917 [physics.geo‐ph].
  10. KumarD.2013. Applying Backus averaging for deriving seismic anisotropy of a long‐wavelength equivalent medium from well‐log data. Journal of Geophysics and Engineering10, 1–15.
    [Google Scholar]
  11. PostmaG.W.1955. Wave propagation in a stratified medium. Geophysics20, 780–806.
    [Google Scholar]
  12. SchoenbergM. and MuirF.1989. A calculus for finely layered anisotropic media. Geophysics54, 581–589.
    [Google Scholar]
  13. SlawinskiM.A.2015. Waves and rays in elastic continua, 3rd edn. World Scientific.
    [Google Scholar]
  14. ThomsenL.1986. Weak elastic anisotropy. Geophysics51, 1954–1966.
    [Google Scholar]
  15. WanniarachichiW.A.M., RanjithP.G., PereraM.S.A., RathnaweeraT.D., LyuQ. and MahantaB.2017. Assessment of dynamic material properties of intact rocks using seismic wave attenuation: an experimental study. Royal Society Open Science4, 170896.
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): Anisotropy; Numerical study; Parameter estimation

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