1887
Volume 53, Issue 5
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

Single-physics rock templates have been widely addressed in the literature especially for sandstone reservoirs. Nevertheless, multi-physics rock templates (MPRT) have not been broadly studied to characterise complex carbonates. Multi-physics measurements lead to generate MPRTs which provide visual aid to petrophysicists and seismic rock physicists to classify facies and determine reservoir rock and fluids. Our research is oriented around two sequential stages. In the first stage, we make three independent porosity measurements (Archimedes, µCT and NMR) on core carbonate plugs from northern Niagaran reef. Resistivity, P&S-wave ultrasonic measurement and joint modelling of the same brine saturated plugs help us to fine-tune the model parameters through a global optimisation algorithm. Optimisation algorithm provides vuggy and micro-porosities close to independently measured porosities using NMR and µCT. In the second stage, we extend the technique from core data to well logs. We integrate mass balance equations to model bulk density and staged differential effective medium (SDEM) theory to model elastic and electrical resistivity of dual-porosity carbonates. Then, we design a stochastic global algorithm to simultaneously invert petrophysical properties. The inversion algorithm iteratively recovers the petrophysical properties including intergranular porosity, vuggy porosity, water saturation, salinity and matrix properties. Critical porosity, resistivity lithology exponents and sonic length scales for different pore systems are also estimated with meaningful accuracy.

© 2021 Australian Society of Exploration Geophysicists
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2022-09-03
2026-01-15

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References

  1. Archie, G.E.1962. The electrical resistivity log as an aid in determining some reservoir characteristics. Trans AIME146: 54–67.
     [Google Scholar]
  2. Avseth, P., T.Mukerji, and G.Mavko. 2005. Quantitative seismic interpretation. Cambridge University Press.
  3. Avseth, P., T.Mukerji, A.Jorstad, G.Mavko, and T.Veggeland. 2001. Seismic reservoir mapping from 3-D AVO in a North Sea turbidite system. Geophysics66: 1157–1176.
     [Google Scholar]
  4. Gassmann, F.1951. “Uber die elastizit” at poroser medien. Vierteljahrsschrift der Naturforschenden Gesellschaft96: 1–23.
     [Google Scholar]
  5. Ingber, L.1989. Very fast simulated re-annealing. Mathematical and Computer ModellingVolume 12: 967–973.
     [Google Scholar]
  6. Ingber, L.1993. Simulated annealing: practice versus theory. Mathematical and Computer ModellingVolume 18: 29–57.
     [Google Scholar]
  7. Kazatchenko, E., M.Markov, and A.Mousatov. 2003. Determination of primary and secondary porosity in carbonate formations using acoustic data, SPE 84209, The SPE Annual Technical Conference and Exhibition.
  8. Mavko, G., T.Mukerji, and J.Dvorkin. 2020. The rock physics handbook, (3rd Edition). Cambridge University Press.
  9. Myers, M.T.1989. Pore combination modeling: extending the Hanai-Bruggeman equation: SPWLA 30th Annual Logging Symposium, 1989-D.
  10. Myers, M.T.1991. Pore combination modeling: A technique for modeling the permeability and resistivity of complex pore systems: SPE Annual Technical Conference and Exhibition, 22662-MS.
  11. Myers, M.T., and L.A.Hathon. 2012. Staged differential effective medium (SDEM) models for the acoustic velocity in carbonates. American Rock Mechanic Association12: 553.
     [Google Scholar]
  12. Mukerji, T., P.Avseth, G.Mavko, I.Takahashi, and E.F.González. 2001. Statistical rock physics: combining rock physics, information theory, and geostatistics to reduce uncertainty in seismic reservoir characterization. The Leading Edge20 no. 3: 313.
     [Google Scholar]
  13. Nur, A., G.Mavko, J.Dvorkin, and D.Gal. 1995. Critical porosity: the key to relating physical properties to porosity in rocks, Proc. 65th Ann. Int. Meeting, Society of Exploration Geophysicists, 878.
  14. Rovetta, D., D.Colombo, and E.Turkoglu. 2017. Petrophysical joint inversion of multi-geophysical attributes and measurements for reservoir characterization, SPE-184030-MS.
  15. Salma, S., E.Turkoglu, and D.Rovetta. 2018. Application of petrophysical joint inversion to a carbonate reservoir in Saudi Arabia. SEG Technical Program Expanded Abstracts, 3342–3346.
     [Google Scholar]
  16. Shahin, A., M.T.Myers, and L.A.Hathon. 2020. Global optimization to retrieve borehole-derived petrophysical properties of carbonates. Geophysics85 no. 3: D75–D82.
     [Google Scholar]
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Multi-physics rock templates to seismically characterise complex carbonates
Exploration Geophysics 53, 547 (2022); https://doi.org/10.1080/08123985.2021.2010500
/content/journals/10.1080/08123985.2021.2010500
/content/journals/10.1080/08123985.2021.2010500
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  • Article Type: Research Article
Keyword(s): Carbonate; modelling; rock physics; seismic reflection

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