1887
Volume 68, Issue 7
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Quality, availability and consistency of the measured and interpreted well log data are essential in the seismic reservoir characterization methods, and seismic petrophysics is the recommended workflow to achieve data consistency between logs and seismic domains. This paper uses seismic petrophysics workflow to improve well logs and pore geometry interpretations for an oil carbonate reservoir in the Fahliyan Formation in the southwest of Iran. The petrophysical interpreted well logs, rock physics and well‐to‐seismic tie analysis are integrated into the proposed workflow. Our implementation incorporates revising petrophysical well log interpretations and updating pore geometry characteristics to obtain a better well‐tie quality. We first propose an improved pore‐type characterization approach based on both P‐ and S‐wave velocities for quantifying pore geometry. Then, seismic logs are estimated accordingly, and the results are used in the well‐to‐seismic analysis. The quality of the well‐tie is improved, furthermore, by iterating on the petrophysical interpreted well logs as well as the calculated pore geometries. For the intervals with high‐quality data, our workflow improves the consistency between the results of measured and modelled seismic logs. For the intervals with problematic well logs, the application of our proposed workflow results in the successful replacement of the poor data and subsequently leads to an improved wavelet estimation and well‐tie results. In both cases, a higher quantification of pore geometries is achieved, which in turn is confirmed by the core images and formation micro‐imager analysis.

Loading

Article metrics loading...

/content/journals/10.1111/1365-2478.12989
2020-06-18
2024-03-28
Loading full text...

Full text loading...

References

  1. Agersborg, R., Johansen, T.A. and Jakobsen, M. (2009) Velocity variations in carbonate rocks due to dual porosity and wave‐induced fluid flow. Geophysical Prospecting, 57, 81–98.
    [Google Scholar]
  2. Anselmetti, F.S. and Eberli, G.P. (1993) Controls on sonic velocity in carbonate rocks. Pure and Applied Geophysics, 141(2), 287–323.
    [Google Scholar]
  3. Anselmetti, F.S., Luthi, S. and Eberli, G.P. (1998) Quantitative characterization of carbonate core systems by digital image analysis. AAPG Bulletin, 82, 1815–1836.
    [Google Scholar]
  4. Anselmetti, F.S. and Eberli, G.P. (1999) The Velocity‐deviation log: a tool to predict pore type and permeability trends in carbonate drill holes from sonic and porosity or density logs. AAPG Bulletin, 83, 450–466.
    [Google Scholar]
  5. Ba, J., Zhao, J., Carcione, J.M. and Huang, X. (2016) Compressional wave dispersion due to rock matrix stiffening by clay squirt flow. Geophysical Research Letters, 6186–6195.
    [Google Scholar]
  6. Berryman, J.G. (1980a) Confirmation of Biot's theory. Applied Physics Letters, 37, 382–384.
    [Google Scholar]
  7. Berryman, J.G. (1980b) Long‐wavelength propagation in composite elastic media II. Ellipsoidal inclusions. Journal of the Acoustical Society of America, 66, 1820–1831.
    [Google Scholar]
  8. Berryman, J.G. (1992) Single scattering approximations for coefficients in Biot's equations of poro elasticity. Journal of the Acoustical Society of America, 91, 551–571.
    [Google Scholar]
  9. Castagna, J.P., Batzle, M.L. and Eastwood, R.L. (1985) Relationships between compressional‐wave in elastic silicate. Geophysics, 50, 571–581.
    [Google Scholar]
  10. Dou, Q., Sun, Y. and Sullivan, C. (2009) Rock-physics-based heterogeneity characterization of a carbonate reservoir in the Permian Basin. International Exposition and Annual Meeting, SEG, Expanded Abstracts, 1945–1949.
  11. Fournier, F., Leonide, P., Biscarrat, K., Gallois, A., Borgomano, J. and Foubert, A. (2011) Elastic properties of microporous cemented grainstones. Geophysics, 76, E211–E226.
    [Google Scholar]
  12. Fournier, F., Pellerin, M., Villeneuve, Q., Teillet, T., Hong, F., Poli, E., Borgomano, J., Ph, Leonide and Hairabian, A. (2018) The equivalent pore aspect ratio as a tool for pore type prediction in carbonate reservoirs. AAPG Bulletin, 7, 1343–1377.
    [Google Scholar]
  13. Gerard, R.E., Philipson, C.A., Manni, F.M. and Marschall, M.D. (1992) Petrographic image analysis: an alternate method for determining petrophysical properties. Automated Pattern Analysis in Petroleum Exploration, 249–263.
    [Google Scholar]
  14. Jakobsen, M., Hudson, J.A. and Hansen, T.A. (2003) T‐Matrix approach to shale acoustics. Geophysical Journal International, 154, 533–558.
    [Google Scholar]
  15. Kuster, G.T. and Toksöz, M.N. (1974) Velocity and attenuation of seismic waves in two‐phase media, Part I: theoretical formulations. Geophysics, 39, 587–606.
    [Google Scholar]
  16. Kumar, M. and Han, D. (2005) Pore shape effect on elastic properties of carbonate rocks.75th Annual International Meeting, 1477–1480 SEG, Expanded Abstracts.
  17. Markov, M., Levine, V., Mousatov, A. and Kazatchenko, E. (2005) Elastic properties of double‐porosity rocks using the differential effective medium model. Geophysical Prospecting, 53, 733–754.
    [Google Scholar]
  18. Markov, M., Kazatchenko, E. and Mousatov, A. (2006) Compressional and shear wave velocities in multicomponent carbonate media as porosity functions. SPWLA 47th Annual Logging Symposium, 4–7 June.
  19. Mavko, G., Mukerji, T. and Dvorkin, J. (2009) The rock physics handbook: tools for seismic analysis in porous media. Cambridge: Cambridge University Press.
    [Google Scholar]
  20. Misaghi, A., Negahban, S., Landrø, M. and Javaherian, A. (2010) A comparison of rock physics models for fluid substitution in carbonate rocks. Exploration Geophysics, 41, 146–154.
    [Google Scholar]
  21. Mollajan, A. and Memarian, H. (2016) Rock physics‐based carbonate pore type identification using Parzen classifier. Journal of Petroleum Science and Engineering, 145, 205–212.
    [Google Scholar]
  22. Pan, J.G., Wang, H.B., Li, C. and Zhao, J.G. (2015) Effect of pore structure on seismic rock‐physics characteristics of dense carbonates. Applied Geophysics, 12.
    [Google Scholar]
  23. Pickett, G.R. (1963) Acoustic character logs and their applications in formation evaluation. Journal of Petroleum Technology, 15, 650–667.
    [Google Scholar]
  24. Saberi, M.R. (2017) A closer look at rock physics models and their assisted interpretation in seismic exploration. Iranian Journal of Geophysics, 10(5), 71–84.
    [Google Scholar]
  25. Saberi, M.R. (2018) Rock‐physics‐assisted well‐tie analysis for structural interpretation and seismic inversion. The Leading Edge, 37, 908–914.
    [Google Scholar]
  26. Sams, M. (2014) Constraining petrophysics with rock physics. EAGE/FESM Joint Regional Conference Petrophysics Meets Geoscience, Expanded Abstract.
  27. Sharifi, J., Mirzakhanian, M., Saberi, M.R. and Moradi, M. (2018) Quantification of pore type system in carbonate rocks for rock physics modelling. 80th EAGE Conference and Exhibition, Expanded Abstract.
  28. Sun, H., Belhaj, H., Tao, G., Vega, S. and Liu, L. (2019) Rock properties evaluation for carbonate reservoir characterization with multi‐scale digital rock images. Journal of Petroleum Science and Engineering, 654–664.
    [Google Scholar]
  29. Sun, H., Vega, S. and Tao, G. (2017) Analysis of heterogeneity and permeability anisotropy in carbonate rock samples using digital rock physics. Journal of Petroleum Science and Engineering, 156, 419–429.
    [Google Scholar]
  30. Vanorio, T., Scotellaro, C. and Mavko, G. (2008) The effect of chemical and physical processes on the acoustic properties of carbonate rocks. The Leading Edge, 27, 1040–1048.
    [Google Scholar]
  31. Wang, H., Sun, S.Z., Yang, H., Gao, H., Xiao, Y. and Hu, H. (2011) The influence of pore structure on P‐ and S‐wave velocities in complex carbonate reservoirs with secondary storage space. Petroleum Science, 8, 394–405.
    [Google Scholar]
  32. Xu, S., Chen, G., Zhu, Y., Zhang, J., Payne, M., Deffenbaugh, M., Song, L. and Dunsmuir, J. (2007) Carbonate rock physics: analytical models and validations using computational approaches and lab/log measurements. The International Petroleum Technology Conference. IPTC11308, Expanded Abstracts.
  33. Xu, S. and Payne, M.A. (2009) Modeling elastic properties in carbonate rocks. The Leading Edge, 28, 66–74.
    [Google Scholar]
  34. Zhao, L., Geng, J., Cheng, J., Han, D., and Guo, T. (2014) Probabilistic lithofacies prediction from prestack seismic data in a heterogeneous carbonate reservoir. Geophysics, 79, 25–34.
    [Google Scholar]
  35. Zhao, L., Nasser, M. and Han, D.H. (2013) Quantitative geophysical pore‐type characterization and its geological implication in carbonate reservoirs. Geophysical Prospecting, 61, 827–841.
    [Google Scholar]
  36. Zhao, J., Sh, Wang, Tong, X., Yin, H., Yuan, D., Ma, X., Deng, J. and Xiong, B. (2015) Differential acoustic resonance spectroscopy: improved theory and application in the low frequency range. Geophysical Journal International, 202, 1775–1791.
    [Google Scholar]
  37. Zhao, L., Yao, Q., Han, D., Yan, F. and Nasser, M. (2016) Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks. Geophysical Prospecting, 64, 157–169.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1111/1365-2478.12989
Loading
/content/journals/10.1111/1365-2478.12989
Loading

Data & Media loading...

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