4.3 Article

A dynamic pore-scale network model for two-phase imbibition

Journal

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
Volume 26, Issue -, Pages 118-129

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jngse.2015.06.005

Keywords

Pore-scale modeling; Dynamic network model; Imbibition; Capillary number; Wetting film swelling

Funding

  1. State Major Science and Technology Special Projects during the 12th Five-Year Plan [2011ZX05024-002-002]
  2. National Program for Fundamental Research and Development of China (973 Program) [2014CB239005, 2015CB250905]
  3. National Natural Science Foundation of China [51174222, 51474233]
  4. Outstanding Doctoral Dissertation Training Program of China University of Petroleum [LW140201A]
  5. Program for Changjiang Scholars and Innovative Research Team in University [IRT1294]
  6. Graduate School Innovation Program of China University of Petroleum [YCX2014009]

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Pore-scale network modeling serves as an efficient tool for the simulation of multiphase flow in porous media, like carbon dioxide sequestration, enhanced gas/oil recovery and transport in fuel cell. To overcome the limitations of existing dynamic networks, we develop an alternative model for imbibition that accounts for the complex physical process of frontal displacement, film swelling, and snap off. The novelty of this model is that the outlet boundary is permeable to both wetting and non-wetting fluids before all the displaced phase is trapped. Instead of solving the nonlinear system of film pressure equations with conventional algorithms, a scale factor is employed to iteratively adjust the solutions estimated independently by mass conservation and the Young-Laplace equation until they are consistent with each other. To guarantee the effectiveness and accuracy, we also provide strategies for the selection of two significant considerations: scale factor and time-step size. This method is employed to study the effects of displacement rate and contact angle on waterflooding performance, relative permeabilities, as well as residual saturation. We believe this model can be further used to describe the distribution of slickwater in shale gas systems after hydraulic fracturing and predict water saturation based on the pore-scale topology of reservoirs. (C) 2015 Elsevier B.V. All rights reserved.

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