1887

Abstract

Summary

This paper describes the study of the results of acoustic 2D modeling to determine the influence of the shape, aspect ratio and orientation of pores on the acoustic properties of the rock. The size of the model for acoustic modeling is set by the size of the acoustic probe. To implement the modeling procedure in the “Tesseral ” software package, the model dimension was scaled so that the 0.1 mm voids occupied one grid cell, i.e. increased 104 times. Presented results of calculation of three models of sandstone with homogeneous composition of voids filled with water. The first model is filled by discs with 1 mm diameter, the second and tritium — by cracks with 1 mm diameter and 10 mm length, it oriented along and, respectively, across the wave propagation. The result of 2D modeling demonstrates that the different shape and orientation of voids in the matrix of the geological environment have different effects on its acoustic properties. Especially noticeable is the difference between the voids round shape and elongated in the direction of the wave propagation. These geometries significantly reduce the acoustic properties of the simulated environment. The opposite trend is observed between the voids of circular shape and elongated across the direction of the wave.

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/content/papers/10.3997/2214-4609.201801803
2018-05-14
2024-04-18
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References

  1. Kuster, G. T., Toksöz, M. N.
    [1974]. Velocity and attenuation of seismic waves in two-phase media: Part I. Theoretical formulations. Geophysics. T. 39. №. 5. C. 587–606.
    [Google Scholar]
  2. Berryman, J. G.
    [1992]. Single scattering approximations for coefficients in Biot’s equations of poroelasticity. The Journal of the Acoustical Society of America. T. 91. №. 2. C. 551–571.
    [Google Scholar]
  3. Prodayvoda, G. T., Maslov, B. P. Korol’, VV.
    [1995]. The spectrum of fraction-porous space structure distribution of rocks from inversion results of elastic waves velocity versus pressure relation. Geophysical Journal. T. 17. №. 5. C. 75–80.
    [Google Scholar]
  4. Karimpouli, S., Tahmasebi, P., Saenger, E. H.
    [2018]. Estimating 3D elastic moduli of rock from 2D thin section images using Differential Effective Medium Theory. Geophysics. T. 83. №. 4. C. 1–38.
    [Google Scholar]
  5. Saenger, E. H., Shapiro, S. A.
    [2002]. Effective velocities in fractured media: A numerical study using the rotated staggered finite difference grid. Geophysical Prospecting. T. 50. №. 2. C. 183–194.
    [Google Scholar]
  6. Khalimendik, V., Virshylo, I.
    [2017]. Velocities of elastic waves modeling for complex reservoir rocks. 16th International Conference on Geoinformatics-Theoretical and Applied Aspects.
    [Google Scholar]
  7. Lavreniuk, S.
    et al. [2011]. Synergy of 2.5 D approach and grid technology for synthesis of realistic 3D/3C seismograms in anisotropic media. 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC 2011.
    [Google Scholar]
  8. Tulchinsky, V. G., Iushchenko, R. A., Roganov, Y. V.
    [2012]. Acceleration of 2.5 D Elastic Anisotropic Modelling. 74th EAGE Conference and Exhibition incorporating EUROPEC 2012.
    [Google Scholar]
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