• Open Access

Generalized network modeling of capillary-dominated two-phase flow

Ali Q. Raeini, Branko Bijeljic, and Martin J. Blunt
Phys. Rev. E 97, 023308 – Published 20 February 2018

Abstract

We present a generalized network model for simulating capillary-dominated two-phase flow through porous media at the pore scale. Three-dimensional images of the pore space are discretized using a generalized network—described in a companion paper [A. Q. Raeini, B. Bijeljic, and M. J. Blunt, Phys. Rev. E 96, 013312 (2017)]—which comprises pores that are divided into smaller elements called half-throats and subsequently into corners. Half-throats define the connectivity of the network at the coarsest level, connecting each pore to half-throats of its neighboring pores from their narrower ends, while corners define the connectivity of pore crevices. The corners are discretized at different levels for accurate calculation of entry pressures, fluid volumes, and flow conductivities that are obtained using direct simulation of flow on the underlying image. This paper discusses the two-phase flow model that is used to compute the averaged flow properties of the generalized network, including relative permeability and capillary pressure. We validate the model using direct finite-volume two-phase flow simulations on synthetic geometries, and then present a comparison of the model predictions with a conventional pore-network model and experimental measurements of relative permeability in the literature.

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  • Received 30 August 2017
  • Revised 30 January 2018

DOI:https://doi.org/10.1103/PhysRevE.97.023308

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

NetworksFluid DynamicsCondensed Matter, Materials & Applied Physics

Authors & Affiliations

Ali Q. Raeini, Branko Bijeljic, and Martin J. Blunt

  • Department of Earth Science and Engineering, Imperial College London, SW7 2AZ, United Kingdom

Article Text

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Issue

Vol. 97, Iss. 2 — February 2018

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