1887
Volume 52, Issue 5
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

Frequency-dependent anisotropy can be used for detection and evaluation of fractured reservoirs. In this study, three numerical models of fractured reservoirs are designed to study the frequency dependence of amplitude variation with azimuth (AVAZ). Here, two factors, which can make the AVAZ responses frequency dependent, are taken into consideration, the fluid flow and the tuning effect. Model I is used for the analysis of frequency-dependent AVAZ induced only by the fluid flow. Model II is used to study frequency-dependent AVAZ induced only by the tuning effect. For Model III, these two factors are in the presence at the same time. In this study, the fluid flow is simulated by Chapman’s multi-scale rock physics model, and the azimuthal seismic gathers are generated by propagating matrix method. Spectral decomposition is implemented based on the smoothed pseudo Wigner-Ville distribution, so that the frequency dependence for the AVAZ gathers can be discussed. It is demonstrated that both the fluid flow and the tuning effect can cause significant frequency-dependent AVAZ, and the frequency-dependent AVAZ is helpful for fluid identification and anisotropic thin bed detection. Besides, for both factors, the incident angle can influence the frequency-dependent AVAZ responses, accordingly azimuthal seismic gathers with large incident angles are necessary for field data application.

Loading

Article metrics loading...

/content/journals/10.1080/08123985.2020.1843019
2021-09-03
2026-01-13
Loading full text...

Full text loading...

References

  1. Alshangiti, A.2019. Frequency-dependent AVO inversion: comparison of different AVO approximations. SEG Technical Program Expanded Abstracts2019: 724–8. doi: 10.1190/segam2019‑3214159.1
    https://doi.org/10.1190/segam2019-3214159.1 [Google Scholar]
  2. Biot, M.A.1956. Theory of propagation of elastic waves in a fluid saturated porous solid. I. Low frequency range. The Journal of the Acoustical Society of America28: 168–78. doi: 10.1121/1.1908239
    https://doi.org/10.1121/1.1908239 [Google Scholar]
  3. Brown, R., and J.Korringa. 1975. On the dependence of the elastic properties of a porous rock on the compressibility of the pore fluid. Geophysics40: 608–16. doi: 10.1190/1.1440551
    https://doi.org/10.1190/1.1440551 [Google Scholar]
  4. Chapman, M.2003. Frequency-dependent anisotropy due to meso-scale fractures in the presence of equant porosity. Geophysical Prospecting51 no. 5: 369–79. doi: 10.1046/j.1365‑2478.2003.00384.x
    https://doi.org/10.1046/j.1365-2478.2003.00384.x [Google Scholar]
  5. Chapman, M., and E.Liu. 2004. Frequency dependent azimuthal amplitude variations in reflections from a fractured layer. SEG Technical Program Expanded Abstracts2004: 147–50. doi: 10.1190/1.1851125
    https://doi.org/10.1190/1.1851125 [Google Scholar]
  6. Chapman, M., S.V.Zatsepin, and S.Crampin. 2002. Derivation of a microstructural poroelastic model. Geophysical Journal International151: 427–51. doi: 10.1046/j.1365‑246X.2002.01769.x
    https://doi.org/10.1046/j.1365-246X.2002.01769.x [Google Scholar]
  7. Ding, P., B.Di, J.Wei, X.Di, Y.Deng, and X.Y.Li. 2014. Fluid-dependent anisotropy and experimental measurements in synthetic porous rocks with controlled fracture parameters. Journal of Geophysics and Engineering11 no. 1: 015002. doi: 10.1088/1742‑2132/11/1/015002
    https://doi.org/10.1088/1742-2132/11/1/015002 [Google Scholar]
  8. Ding, P., D.Wang, G.Di, and X.Y.Li. 2019. Investigation of the effects of fracture orientation and saturation on the Vp/Vs ratio and their implications. Rock Mechanics and Rock Engineering52 no. 9: 3293–304. doi: 10.1007/s00603‑019‑01770‑3
    https://doi.org/10.1007/s00603-019-01770-3 [Google Scholar]
  9. Ding, P., D.Wang, and X.Y.Li. 2020. An experimental study on scale-dependent velocity and anisotropy in fractured media based on artificial rocks with controlled fracture geometries. Rock Mechanics and Rock Engineering53 no. 7: 3149–3159. doi: 10.1007/s00603‑020‑02095‑2
    https://doi.org/10.1007/s00603-020-02095-2 [Google Scholar]
  10. Duxbury, A., D.White, C.Samson, S.A.Hall, J.Wookey, and J.M.Kendall. 2010. Fracture detection using AVOA for caprock assessment in the Weyburn-Midale CO2 monitoring and storage project. SEG Technical Program Expanded Abstracts2010: 348–52. doi: 10.1190/1.3513574
    https://doi.org/10.1190/1.3513574 [Google Scholar]
  11. Fryer, G.J., and L.N.Frazer. 1984. Seismic waves in stratified anisotropic media. Geophysical Journal International78 no. 3: 691–710. doi: 10.1111/j.1365‑246X.1984.tb05065.x
    https://doi.org/10.1111/j.1365-246X.1984.tb05065.x [Google Scholar]
  12. Fryer, G.J., and L.N.Frazer. 1987. Seismic waves in stratified anisotropic media-II. Elastodynamic eigensolutions for some anisotropic systems. Geophysical Journal International91 no. 1: 73–101. doi: 10.1111/j.1365‑246X.1987.tb05214.x
    https://doi.org/10.1111/j.1365-246X.1987.tb05214.x [Google Scholar]
  13. Gray, D., D.T.Marinic, and M.Lahr. 2002. Seismic fracture analysis on the pinedale anticline: Implications for improving drilling success. SEG Technical Program Expanded Abstracts2002: 532–535.
    [Google Scholar]
  14. Guo, Z., X.Han, N.Lu, C.Liu, and X.W.Liu. 2017. Modeling and analysis of full waveform seismic AVAZ responses from anisotropic shale reservoirs. CGS/SEG International Geophysical Conference 2007, Qingdao, China, 150–153.
    [Google Scholar]
  15. Guo, Z., C.Liu, X.Y.Li, and H.Lan. 2016. Modeling and analysis of frequency-dependent AVO responses in anelastic stratified media. Chinese Journal of Geophysics59: 68–77. doi: 10.1002/cjg2.20214
    https://doi.org/10.1002/cjg2.20214 [Google Scholar]
  16. Kennett, B.L.N., and N.J.Kerry. 1979. Seismic waves in a stratified half space. Geophysical Journal International57: 557–83. doi: 10.1111/j.1365‑246X.1979.tb06779.x
    https://doi.org/10.1111/j.1365-246X.1979.tb06779.x [Google Scholar]
  17. Li, X.Y., Y.Liu, E.Liu, F.Shen, and S.Qu. 2003. Fracture detection using land 3D seismic data from the Yellow River Delta, China. The Leading Edge22 no. 7: 680–3. doi: 10.1190/1.1599696
    https://doi.org/10.1190/1.1599696 [Google Scholar]
  18. Liu, E., M.Chapman, Z.Zhang, and J.H.Queen. 2006. Frequency-dependent anisotropy: effects of multiple fracture sets on shear-wave polarizations. Wave Motion44: 44–57. doi: 10.1016/j.wavemoti.2006.06.006
    https://doi.org/10.1016/j.wavemoti.2006.06.006 [Google Scholar]
  19. Liu, E., S.Maultzsch, M.Chapman, X.Y.Li, J.H.Queen, and Z.Zhang. 2003. Frequency-dependent seismic anisotropy and its implication for estimating fracture size in low porosity reservoirs. The Leading Edge22: 662–5. doi: 10.1190/1.1599692
    https://doi.org/10.1190/1.1599692 [Google Scholar]
  20. Liu, N.Z., Y.S.Zou, X.F.Ma, N.Li, and S.Wu. 2019. Study of hydraulic fracture growth behavior in heterogeneous tight sandstone formations using CT scanning and acoustic emission monitoring. Petroleum Science16: 396–408. doi: 10.1007/s12182‑018‑0290‑6
    https://doi.org/10.1007/s12182-018-0290-6 [Google Scholar]
  21. Liu, Y.W., X.W.Liu, Y.X.Lu, Y.Q.Chen, and Z.Y.Liu. 2018. Fracture prediction approach for oil-bearing reservoirs based on AVAZ attributes in an orthorhombic medium. Petroleum Science15: 510–20. doi: 10.1007/s12182‑018‑0250‑1
    https://doi.org/10.1007/s12182-018-0250-1 [Google Scholar]
  22. Marianne, R.D., and R.Matt. 2005. Spectral decomposition–transform methods and fluid and reservoir prediction case study. EAGE 67th Conference and Exhibition.
    [Google Scholar]
  23. Matt, R., R.D.Marianne, L.C.Kuang, H.P.Xia, and D.S.Yang. 2007. General method to reduce cross-term interference in the Wigner–Ville decomposition. SEG Technical Program Expanded Abstracts2007: 870–4.
    [Google Scholar]
  24. Maultzsch, S., M.Chapman, E.Liu, and X.Y.Li. 2003. Modelling frequency-dependent seismic anisotropy in fluid-saturated rock with aligned fractures: implication of fracture size estimation from anisotropic measurements. Geophysical Prospecting51: 381–92. doi: 10.1046/j.1365‑2478.2003.00386.x
    https://doi.org/10.1046/j.1365-2478.2003.00386.x [Google Scholar]
  25. O'Connell, R. J., and B.Budiansky. 1977. Viscoelastic properties of the fluid-saturated cracked solids. Journal of Geophysical Research82 no. 36: 5719–5735. doi: 10.1029/JB082i036p05719
    https://doi.org/10.1029/JB082i036p05719 [Google Scholar]
  26. Sothcott, J., C.McCann, and S.G.O’Hara. 2000. The influence of two different pore fluids on the acoustic properties of reservoir sandstones at sonic and ultrasonic frequencies. SEG Technical Program Expanded Abstracts2000: 1883–6.
    [Google Scholar]
  27. Tan, P., Y.Jin, L.Yuan, Z.Y.Xiong, and L.M.Wan. 2019. Understanding hydraulic fracture propagation behavior in tight sandstone–coal interbedded formations: an experimental investigation. Petroleum Science16: 148–60. doi: 10.1007/s12182‑018‑0297‑z
    https://doi.org/10.1007/s12182-018-0297-z [Google Scholar]
  28. Thomsen, L.1995. Elastic anisotropy due to aligned cracks in porous rock. Geophysical Prospecting43 no. 6: 805–829. doi: 10.1111/j.1365‑2478.1995.tb00282.x
    https://doi.org/10.1111/j.1365-2478.1995.tb00282.x [Google Scholar]
  29. Wilson, A., M.Chapman, and X.Y.Li. 2009. Frequency-dependent AVO inversion. SEG Technical Program Expanded Abstracts2009: 341–5. doi: 10.1190/1.3255572
    https://doi.org/10.1190/1.3255572 [Google Scholar]
  30. Wu, X., and T.Liu. 2009. Spectral decomposition of seismic data with reassigned smoothed pseudo Wigner–Ville distribution. Journal of Applied Geophysics68 no. 3: 386–93. doi: 10.1016/j.jappgeo.2009.03.004
    https://doi.org/10.1016/j.jappgeo.2009.03.004 [Google Scholar]
  31. Xu, G., H.Yin, H.Yuan, and C.Xing. 2020. Decline curve analysis for multiple-fractured horizontal wells in tight oil reservoirs. Advances in Geo-Energy Research4 no. 3: 296–304. doi: 10.46690/ager.2020.03.07
    https://doi.org/10.46690/ager.2020.03.07 [Google Scholar]
  32. Zhang, G., Y.Zhang, A.Xu, and Y.Li. 2019. Microflow effects on the hydraulic aperture of single rough fractures. Advances in Geo-Energy Research3 no. 1: 104–14. doi: 10.26804/ager.2019.01.09
    https://doi.org/10.26804/ager.2019.01.09 [Google Scholar]
/content/journals/10.1080/08123985.2020.1843019
Loading
/content/journals/10.1080/08123985.2020.1843019
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): Anisotropy; azimuth; fluid; fractures; reservoir

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error