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Generalized network modeling of capillary-dominated two-phase flow.

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Area of Science:

  • Porous media physics
  • Multiphase flow dynamics
  • Computational fluid dynamics

Background:

  • Simulating two-phase flow in porous media is crucial for understanding subsurface processes.
  • Existing pore-network models often simplify complex pore geometries, limiting accuracy.
  • Accurate pore-scale simulation requires detailed representation of pore space features.

Purpose of the Study:

  • To present a generalized network model for capillary-dominated two-phase flow at the pore scale.
  • To compute averaged flow properties, including relative permeability and capillary pressure.
  • To validate the model against direct simulations and experimental data.

Main Methods:

  • Discretizing 3D pore space images into a generalized network of pores, half-throats, and corners.
  • Obtaining entry pressures, fluid volumes, and flow conductivities via direct flow simulation on the image.
  • Developing a two-phase flow model to compute averaged flow properties of the generalized network.

Main Results:

  • The generalized network model captures pore-scale flow physics.
  • The model accurately predicts capillary pressure and relative permeability.
  • Model predictions show good agreement with direct simulations and literature experimental data.

Conclusions:

  • The generalized network model offers a more accurate approach to simulating capillary-dominated two-phase flow.
  • This method enhances the prediction of macroscopic flow properties from pore-scale physics.
  • The model provides a valuable tool for research in petroleum engineering and hydrogeology.