Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session G26: Focus Session: Complex Fluid Flows Through Porous Media I
10:35 AM–12:45 PM,
Monday, November 19, 2018
Georgia World Congress Center
Room: B314
Chair: Sujit Datta, Princeton University
Abstract ID: BAPS.2018.DFD.G26.3
Abstract: G26.00003 : Influence of Wettability and Dynamic Fluid-Fluid Displacement in Micromodels
11:01 AM–11:14 AM
Presenter:
Bauyrzhan Primkulov
(Massachusetts Inst of Tech-MIT)
Authors:
Bauyrzhan Primkulov
(Massachusetts Inst of Tech-MIT)
Amir Pahlavan
(Massachusetts Inst of Tech-MIT)
Xiaojing Fu
(Massachusetts Inst of Tech-MIT)
Benzhong Zhao
(University of Toronto)
Christopher W. MacMinn
(University of Oxford)
Ruben Juanes
(Massachusetts Inst of Tech-MIT)
The radial displacement of a viscous fluid by a less viscous fluid in micromodel porous media leads to a beautiful array of flow patterns. Here, emerging patterns depend on the capillary number (Ca), viscosity contrast (M), pore structure, and wettability of the system. In the limit of low Ca, the invading pattern grows asymmetrically through either capillary fingering, cooperative pore filling, or corner flow mechanisms as the substrate wettability changes from strong drainage to strong imbibition. As Ca increases, and for M<1, the invading fluid becomes more radially symmetric and forms viscous fingers, whose widths increase as the substrate becomes more wetting to the invading fluid.
We model the immiscible fluid-fluid displacement in patterned microfluidic cells through a novel ``moving capacitor'' network model, which considers pore-scale instability events of Cieplak and Robbins and corner flow events. In our model, we approximate the flow geometry through a pore network where interfaces are treated as moving electric capacitors. The model reproduces the invading fluid patterns observed experimentally under a wide range of Ca and substrate wettabilities, which demonstrates its potential as a predictive pore-scale modeling tool for more complex pore geometries.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.G26.3
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