1887

Abstract

Summary

Carbonate rock typing methodologies are essentially an attempt to identify reliable statistical relationships between geological parameters, mostly from core when available, and the log domain and distribute the resulting categories in the reservoir using spatial trends and relationships embedded in the geological domain, mostly based on depositional and textural concepts. The reality, unfortunately, is that the log domain relationship with geological parameters from core is generally weak (below statistically acceptable thresholds) and therefore obscures petrophysical distributions in resulting models. On the one hand, diagenetic modification may explain part of this lack of correlation, but our knowledge of diagenetic body trends and juxtaposition are poor due to the absence of reliable analogs. On the other, we may question the reliability and grounding of depositional facies models used. Finally, the common carbonate rock typing approach is not tailored to test and handle such uncertainties. By focusing on the statistical predictability of petrophysical rock categories first and understanding kriged distributions in reservoir space we attempt to resolve this conundrum. This paper uses a Middle East example to highlight such pitfalls and, at the same time, to integrate sedimentary characteristics in rock typing practices and reservoir characterization.

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/content/papers/10.3997/2214-4609.2022627017
2022-11-28
2024-04-29
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References

  1. Ahr, W. M. [2008] Geology of Carbonate Reservoirs. Wiley, New York. 277 p.
    [Google Scholar]
  2. Burchette, T.P.. [2012] Carbonate rocks and petroleum reservoirs: a geological perspective from the industry. Geological Society, London, Special Publications published online October 16, 2012, as doi: 10.1144/SP370.14.
    https://doi.org/10.1144/SP370.14 [Google Scholar]
  3. Davies, J.C.. 2018. Electrofacies in Reservoir Characterization, in: (eds) Daya-Sagar, B.S., Cheng, Q., and Agterberg, F., Handbook of Mathematical Geosciences, Springer Open, p. 211–223.
    [Google Scholar]
  4. Hollis, C., Lawrence, D.A., de Perière, M.D., Darmaki, F.A.. [2017] Controls on porosity preservation within a Jurassic oolitic reservoir complex. Mar. Petrol. Geol.88.
    [Google Scholar]
  5. Rebelle, M., Al-Neaimi, M. A., Ribeiro, M. T., Gottlib-Zeh, S., Valsardieu, B. & Moss, B.. [2005] Quantitative and statistical approach for a new rock and log-typing model: Example of onshore Abu Dhabi Up-per Thamama. (IPTC paper 10273.) International Petroleum Technology Conference, Doha, Qatar, 21–23 November. 2005.
    [Google Scholar]
  6. Saneifar, M., Skalinski, M., Theologou, P., Kenter, J., Cuffey, C, and Salzar, R.. [2015] Integrated Petro-physical Rock Classification in the McElroy Field, West Texas, USA. Petrophysics, V. 56, p. 493–510.
    [Google Scholar]
  7. Serra, O., and Sulpice, L.. [1975] Sedimentological analysis of shale-and series from well logs. SPWLA 16th Annnual Logging Symposium, p.1–23.
    [Google Scholar]
  8. Serra, O., and Abbott, H.. [1980] The contribution of logging data to sedimentology and stratigraphy. (SPE paper 9270.) Paper presented at the 55th Annual Fall Technical Conference and Exhibition of the Society of Petroleum Engineers of AIME, Dallas, TX, 21–24 September. 1980.
    [Google Scholar]
  9. Skalinski, M., and Kenter, J.A.M.. [2014] Carbonate petrophysical rock typing: integrating geological attributes and petrophysical properties while linking with dynamic behaviour, in: Agar, S. M. & Geiger, S. (eds) Fundamental Controls on Fluid Flow in Carbonates. Geological Society, London, Special Publications, 406, p. 1–31.
    [Google Scholar]
  10. Strohmenger, C.J., Weber, L.J., Ghani, A., Rebelle, M., Al-Mehsin, K., Al-Jeelani, O., Al-Mansoori, A., and Suwaina, O.. [2004] High-resolution sequence stratigraphy of the Kharaib Formation (Lower Cretaceous, U.A.E.): SPE Abu Dhabi International Conference and Exhibition, Abu Dhabi, SPE 88729, 10 p.
    [Google Scholar]
  11. Van Buchem, F.S.P., Al-Husseini, M.I., Maurer, F., Droste, H.J. and Yose, L.A.. [2010] Sequence stratigraphic synthesis of the Barremian - Aptian of the eastern Arabian Plate and implications for the petroleum habitat. In: van Buchem, F.S.P., Al Husseini, M.I., Maurer, F. and Droste, H.J. (eds.), Barremian - Aptian stratigraphy and hydrocarbon habitat of the Eastern Arabian Plate. GeoArabia Spec. Publ., no. 4, v. 1, p. 9–48.
    [Google Scholar]
  12. Ye, S.J., and Rabiller, P.J.Y.M. [2000] A new toll for electro-facies analysis: multi-resolution graph-based clustering. Paper presented at the SPWLA 41st Annual Logging Symposium, 4–7 June 2000.
    [Google Scholar]
  13. Ye, S., and Rabiller, P.J.Y.M. [2001] Multi-Resolution Graph Based Clustering, U.S. Patent No. 6,295,504, Published September 25, 2001.
    [Google Scholar]
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