1887
Volume 30, Issue 4
  • ISSN: 1354-0793
  • E-ISSN:

Abstract

Fractures and tectonic settings cause azimuthal anisotropy in reservoirs. Recognizing the fracture model from the seismic data is a useful tool for identifying the productive zone in reservoirs. We applied azimuthal velocity analysis in seismic processing to improve the image quality and to estimate the anisotropic model parameters. Using azimuthal residual moveout analysis, the direction of azimuthal anisotropy in the reservoir was predicted, and it was found that the results are consistent with fracture orientations obtained from image logs in the reservoirs. Bayes’ theorem and a cascaded procedure in least-squares inversion, which matched observed amplitudes to linearized Zoeppritz equations, were used to estimate the elastic moduli as a first step, and the normal and tangential fracture weaknesses were estimated in a second step. Laboratory experiments were carried out on core samples to validate the first-step inversion results. It was found that the propagation wavelets varied in space and reflection time, and so a library of extracted wavelets in the time–frequency domain was used for seismic inversion. Maps of the computed fracture fluid index and estimated fracture weaknesses were used to help to visualize the role of fractures in reservoir productivity, and revealed a consistency with the seismic peak frequency attribute in identifying zones of highly compliant fracture fill. The estimated fracture model demonstrates a good fit with the fractures seen in the available core samples and implies that the fracture fluid index is a useful attribute for determining the productive zones in the reservoir.

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2024-10-25
2025-01-15
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References

  1. Abdollahie Fard, I., Braathen, A., Mokhtari, M. and Alavi, S.A.2006. Interaction of the Zagros folded thrust belt and the Arabian-type, deep-seated folds in the Abadan plain and the Dezful embayment, SW Iran. Petroleum Geoscience, 12, 347–362, https://doi.org/10.1144/1354-079305-706
    [Google Scholar]
  2. Abedi, M.M., Stovas, A. and Ivanov, Y.2019. Acoustic wave propagation in orthorhombic media: phase velocity, group velocity, and moveout approximations. Geophysics, 84, 269–279, https://doi.org/10.1190/geo2019-0085.1
    [Google Scholar]
  3. Aki, K. and Richards, P.G.1980. Quantitative Seismology: Theory and Methods. W.H. Freeman and Company, San Francisco, CA.
    [Google Scholar]
  4. Alemie, W. and Sacchi, M.D.2011. High-resolution three-term AVO inversion by means of a trivariate Cauchy probability distribution. Geophysics, 76, 43–55, https://doi.org/10.1190/1.3554627
    [Google Scholar]
  5. Alkhalifah, T. and Tsvankin, I.1995. Velocity analysis for transversely isotropic media. Geophysics, 60, 1550–1566, https://doi.org/10.1190/1.1443888
    [Google Scholar]
  6. Bakulin, A., Grechka, V. and Tsvankin, I.2000. Estimation of fracture parameters from reflection seismic data – Part I: HTI model due to a single fracture set. Geophysics, 65, 1788–1802, https://doi.org/10.1190/1.1444863
    [Google Scholar]
  7. Bond, W.1943. The mathematics of the physical properties of crystals. The Bell System Technical Journal, 22, 1–72, https://doi.org/10.1002/j.1538-7305.1943.tb01304.x
    [Google Scholar]
  8. Chen, H. and Innanen, K.A.2018. Estimation of fracture weaknesses and integrated attenuation factors from azimuthal variations in seismic amplitudes. Geophysics, 83, 711–723, https://doi.org/10.1190/GEO2018-0199.1
    [Google Scholar]
  9. Chen, H., Zhang, G., Ji, Y. and Yin, X.2017. Azimuthal seismic amplitude difference inversion for fracture weakness. Pure and Applied Geophysics, 174, 279–291, https://doi.org/10.1007/s00024-016-1377-x
    [Google Scholar]
  10. Downton, J. and Roure, B.2010. Azimuthal simultaneous elastic inversion for fracture detection. SEG Techical Program Expanded Abstracts, 2010, 263–267, https://doi.org/10.1190/1.3513389
    [Google Scholar]
  11. Downton, J.E. and Roure, B.2015. Interpreting azimuthal Fourier coefficients for anisotropic and fracture parameters. Interpretation, 3, 9–27, https://doi.org/10.1190/INT-2014-0235.1
    [Google Scholar]
  12. Durrani, M.Z.A., Rahman, S.A., Talib, M. and Subhani, G.2022. Characterization of seismic anisotropy using azimuthal AVO analysis (AVAz) – An application case study in the deep and tight carbonate reservoirs from Potwar Basin onshore Pakistan. Journal of Applied Geophysics, 205, 1–9, https://doi.org/10.1016/j.jappgeo.2022.104767
    [Google Scholar]
  13. Galvin, R.J. and Gurevich, B.2007. Scattering of a longitudinal wave by a circular crack in a fluid saturated porous medium. International Journal of Solids and Structures, 44, 7389–7398, https://doi.org/10.1016/j.ijsolstr.2007.04.011
    [Google Scholar]
  14. Galvin, R.J. and Gurevich, B.2009. Effective properties of a poroelastic medium containing a distribution of aligned cracks. Journal of Geophysical Research: Solid Earth, 114, B07305, https://doi.org/10.1029/2008JB006032
    [Google Scholar]
  15. Gassmann, F.1951. Elastic waves through a packing of spheres. Geophysics, 16, 673–685, https://doi.org/10.1190/1.1437718
    [Google Scholar]
  16. Gray, D., Anderson, P., Logel, J., Delbecq, F., Schmidt, D. and Schmid, R.2012. Estimation of stress and geomechanical properties using 3D seismic data. First Break, 30, 59–68, https://doi.org/10.3997/1365-2397.2011042
    [Google Scholar]
  17. Grechka, V. and Tsvankin, I.1998. 3-D description of normal moveout in anisotropic inhomogeneous media. Geophysics, 63, 1079–1092, https://doi.org/10.1190/1.1444386
    [Google Scholar]
  18. Gurevich, B.2003. Elastic properties of saturated porous rocks with aligned fractures. Journal of Applied Geophysics, 54, 203–218, https://doi.org/10.1016/j.jappgeo.2002.11.002
    [Google Scholar]
  19. Haghi, A.H., Chalaturnyk, R. and Ghobadi, H.2018. The state of stress in SW Iran and implications for hydraulic fracturing of a naturally fractured carbonate reservoir. International Journal of Rock Mechanics and Mining Sciences, 105, 28–43, https://doi.org/10.1016/j.ijrmms.2018.03.002
    [Google Scholar]
  20. Hudson, J.A.1980. Overall properties of a cracked solid. Mathematical Proceedings of the Cambridge Philosophical Society, 88, 371–384, https://doi.org/10.1017/S0305004100057674
    [Google Scholar]
  21. Hudson, J.A.1981. Wave speeds and attenuation of elastic waves in material containing cracks. Geophysical Journal International, 64, 133–150, https://doi.org/10.1111/j.1365-246X.1981.tb02662.x
    [Google Scholar]
  22. Imachi, M., Tanaka, S., Bui, T., Oterkus, S. and Oterkus, E.2019. A computational approach based on ordinary state-based peridynamics with new transition bond for dynamic fracture analysis. Journal of Engineering Fracture Mechanics, 206, 359–374, https://doi.org/10.1016/j.engfracmech.2018.11.054
    [Google Scholar]
  23. Jamali, J., Javaherian, A., Wang, Y. and Ameri, M.J.2024. Role of stress regime in azimuthal anisotropy of poroelastic media. Geoenergy Science and Engineering, 235, https://doi.org/10.1016/j.geoen.2024.212724
    [Google Scholar]
  24. Kavoosi, M.A., Aharipour, R. and Jalilian, A.H.2022. The controlling factors of the spatio-temporal distribution of the upper Barremian to the upper Albian sedimentary succession in the Zagros folded belt, SW Iran. Journal of Asian Earth Science, 225, https://doi.org/10.1016/j.jseaes.2021.105046
    [Google Scholar]
  25. Kozlov, E. and Varivoda, D.2005. Dense 3D residual moveout analysis as a tool for HTI parameter estimation. Geophysical Prospecting, 53, 131–148, https://doi.org/10.1111/j.1365-2478.2005.00456.x
    [Google Scholar]
  26. Li, X.1999. Fracture detection using azimuthal variation of P-wave moveout from orthogonal seismic survey lines. Geophysics, 64, 1193–1201, https://doi.org/10.1190/1.1444626
    [Google Scholar]
  27. Lin, L., Guo, L.Y., Zhang, G., Pan, X., Zhang, J. and Lin, Y.2022. Seismic characterization of in situ stress in orthorhombic shale reservoirs using anisotropic extended elastic impedance inversion. Geophysics, 87, M259–M274, https://doi.org/10.1190/GEO2021-0807.1
    [Google Scholar]
  28. Liu, Y.W., Liu, X.W., Lu, Y.X., Chen, Y.Q. and Liu, Z.Y.2018. Fracture prediction approach for oil-bearing reservoirs based on AVAZ attributes in an orthorhombic medium. Petroleum Science, 15, 510–520, https://doi.org/10.1007/s12182-018-0250-1
    [Google Scholar]
  29. Margrave, G.F., Lamoureux, M.P. and Henley, D.C.2011. Gabor deconvolution: estimating reflectivity by nonstationary deconvolution of seismic data. Geophysics, 76, 15–30, https://doi.org/10.1190/1.3560167
    [Google Scholar]
  30. McQuarrie, N.2004. Crustal scale geometry of the Zagros fold–thrust belt, Iran. Journal of Structural Geology, 26, 519–535, https://doi.org/10.1016/j.jsg.2003.08.009
    [Google Scholar]
  31. Pan, X., Zhang, G. and Yin, X.2017. Azimuthally anisotropic elastic impedance inversion for fluid indicator driven by rock physics. Geophysics, 82, 211–227, https://doi.org/10.1190/geo2017-0191.1
    [Google Scholar]
  32. Pan, X., Li, L., Zhou, S., Zhang, G. and Liu, J.2021. Azimuthal amplitude variation with offset parameterization and inversion for fracture weaknesses in tilted transversely isotropic media. Geophysics, 86, C1–C18, https://doi.org/10.1190/geo2019-0215.1
    [Google Scholar]
  33. Pan, X., Liu, Z. et al.2022. Estimation of in situ stresses from PP-wave azimuthal seismic data in fracture-induced anisotropic media. Geophysics, 87, C139–C154, https://doi.org/10.1190/GEO2022-0175.1
    [Google Scholar]
  34. Perumalla, S., Al-Fares, A. et al.2014. Regional in-situ stress mapping: an initiative for exploration & development of deep gas reservoirs in Kuwait. In: International Petroleum Technology Conference. European Association of Geoscientists & Engineers (EAGE), Houten, The Netherlands, cp-395-00296, https://doi.org/10.3997/2214-4609-pdb.395.IPTC-17632-MS
    [Google Scholar]
  35. Robinson, E.A. and Treitel, S.1967. Principles of digital Wiener filtering. Geophysical Prospecting, 15, 311–332, https://doi.org/10.1111/j.1365-2478.1967.tb01793.x
    [Google Scholar]
  36. Rüger, A.1998. Variation of P-wave reflectivity with offset and azimuth in anisotropic media. Geophysics, 63, 935–947, https://doi.org/10.1190/1.1444405
    [Google Scholar]
  37. Rüger, A.2002. Reflection Coefficients and Azimuthal AVO Analysis in Anisotropic Media. Society of Exploration Geophysicists Geophysical Monograph Series, 10.
    [Google Scholar]
  38. Rüger, A. and Tsvankin, I.1997. Using AVO for fracture detection: Analytic basis and practical solutions. The Leading Edge, 10, 1429–1434, https://doi.org/10.1190/1.1437466
    [Google Scholar]
  39. Schoenberg, M.1980. Elastic wave behavior across linear slip interfaces. Journal of the Acoustical Society of America, 68, 1516–1521, https://doi.org/10.1121/1.385077
    [Google Scholar]
  40. Schoenberg, M. and Douma, J.1988. Elastic wave propagation in media with parallel fractures and aligned cracks. Geophysical Prospecting, 36, 571–590, https://doi.org/10.1111/j.1365-2478.1988.tb02181.x
    [Google Scholar]
  41. Schoenberg, M. and Sayers, C.M.1995. Seismic anisotropy of fractured rock. Geophysics, 60, 204–211, https://doi.org/10.1190/1.1443748
    [Google Scholar]
  42. Shuey, R.T.1985. A simplification of the Zoeppritz equations. Geophysics, 50, 609–614, https://doi.org/10.1190/1.1441936
    [Google Scholar]
  43. Thomsen, L.1986. Weak elastic anisotropy. Geophysics, 51, 1954–1966, https://doi.org/10.1190/1.1442051
    [Google Scholar]
  44. Tsvankin, I.1997. Anisotropic parameters and P-wave velocity for orthorhombic media. Geophysics, 62, 1292–1309, https://doi.org/10.1190/1.1444231
    [Google Scholar]
  45. van Buchem, F.S.P., Allan, T.L. et al.2010. Reginal stratigraphic architecture and reservoir types of the Oligo-Miocene deposits in the Dezful Embayment (Asmari and Pabdeh Formations) SW Iran. Geological Society, London, Special Publications, 329, 219–263, https://doi.org/10.1144/SP329.10
    [Google Scholar]
  46. van Buchem, F.S.P., Simmons, M.D., Droste, H.J. and Davies, R.B.2011. Late Aptian to Turnian stratigraphy of the eastern Arabian Plate depositional sequences and lithostratigraphic nomenclature. Petroleum Geoscience, 17, 211–222, https://doi.org/10.1144/1354-079310-061
    [Google Scholar]
  47. Yadav, A., Nayak, S., Kanta, H., Sangwan, P., Pundir, A. and Chatterjee, R.2019. A case study of azimuthal fracture characterization in Cambay Basin, India. Journal of Applied Geophysics, 169, 239–248, https://doi.org/10.1016/j.jappgeo.2019.07.003
    [Google Scholar]
  48. Zhang, F. and Li, X.2013. Generalized approximations of reflection coefficients in orthorhombic media. Journal of Geophysics and Engineering, 10, https://doi.org/10.1088/1742-2132/10/5/054004
    [Google Scholar]
  49. Zhang, F., Zhang, T. and Li, X.Y.2019. Seismic amplitude inversion for the transversely isotropic media with vertical axis of symmetry. Geophysical Prospecting, 67, 2368–2385, https://doi.org/10.1111/1365-2478.12842
    [Google Scholar]
  50. Zhang, S.X., Zou, C.C. and Peng, C.2018. Numerical simulation study of anisotropic velocities in fractured-Vuggy carbonate reservoirs. Journal of Geophysics and Engineering, 15, 1851–1863, https://doi.org/10.1088/1742-2140/aabd3f
    [Google Scholar]
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