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Stochastic multiscale model for carbonate rocks.

B Biswal1, P-E Oren, R J Held

  • 1ICP, Universität Stuttgart, Pfaffenwaldring 27, 70569 Stuttgart, Germany.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 7, 2007
PubMed
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A new multiscale model captures the complex pore structure of carbonate rocks, essential for understanding diagenesis and predicting rock properties. This model accurately represents geological features across various scales.

Area of Science:

  • Geosciences
  • Materials Science
  • Computational Modeling

Background:

  • Carbonate rocks exhibit complex multiscale pore structures.
  • Diagenesis significantly alters pore geometry and petrophysical properties.
  • Accurate modeling requires capturing variations in pore size and permeability.

Purpose of the Study:

  • To propose a multiscale model for carbonate rock diagenesis.
  • To incorporate key pore-scale characteristics like variable pore diameters and permeability.
  • To enable accurate computation of petrophysical parameters.

Main Methods:

  • Generation of a pore-scale microstructure for oolitic dolostone.
  • Development of a continuum representation with millions of crystallites.

Related Experiment Videos

  • Computation of petrophysical parameters on large discretized samples.

    • Main Results:

    • Successfully generated a realistic microstructure of oolitic dolostone.
    • The model captures a wide range of pore diameters and crystallite counts.
    • Petrophysical parameters were computed for samples up to 1000^3.

    Conclusions:

    • The proposed multiscale model effectively represents carbonate rock diagenesis.
    • The model's adaptability allows for diverse carbonate rock microstructures.
    • This approach is valuable for predicting geological and transport properties.