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Capillary-pressure saturation relation derived from the pore morphology method.

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This summary is machine-generated.

A new computational method efficiently calculates capillary pressure-saturation relations for multiphase flow in porous media. This approach, validated experimentally, offers a faster alternative to existing high-resolution methods for pore morphology analysis.

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Area of Science:

  • Multiphase flow in porous media
  • Computational fluid dynamics
  • Pore-scale modeling

Background:

  • Calculating capillary pressure-saturation relations is crucial for understanding fluid flow in porous materials.
  • Existing high-resolution methods like lattice-Boltzmann and level-set are computationally intensive.
  • Pore morphology significantly influences multiphase flow behavior.

Purpose of the Study:

  • To present a computationally efficient method for calculating capillary pressure-saturation relations.
  • To extend the porous morphology method by incorporating wetting angle and trapped fluid mechanisms.
  • To validate the method with experimental data and investigate the impact of various parameters.

Main Methods:

  • Extension of the porous morphology method.
  • Inclusion of wetting angle and trapped fluid mechanisms.
  • Calculation of material properties using density functional theory.
  • Validation using microchip fluid injection experiments.
  • Morphological binary operations for efficiency.

Main Results:

  • The method demonstrates higher computational efficiency compared to lattice-Boltzmann and level-set methods.
  • Established a link between pore morphology and capillary pressure-saturation relations.
  • Investigated the influence of interfacial tension, wettability, sample size, and pore throat distribution on entry pressure and residual saturation.

Conclusions:

  • The developed method provides an efficient and accurate approach for pore-scale multiphase flow analysis.
  • Pore morphology, wettability, and interfacial tension are key determinants of capillary pressure-saturation relations.
  • The method offers a valuable tool for predicting fluid behavior in porous media.