Three-dimensional mixed-wet random pore-scale network modeling of two- and three-phase flow in porous media. II. Results

2005 ◽  
Vol 71 (2) ◽  
Author(s):  
Mohammad Piri ◽  
Martin J. Blunt
Keyword(s):  
Porous Media ◽  
Network Modeling ◽  
Three Dimensional ◽  
Flow In Porous Media ◽  
Phase Flow ◽  
Pore Scale ◽  
Three Phase ◽  
Three Phase Flow ◽  
Scale Network ◽  
Pore Scale Network

Pore-scale network model for drainage-dominated three-phase flow in porous media

1996 ◽  
Vol 24 (2) ◽  
pp. 167-201 ◽  
Author(s):  
G. G. Pereira ◽  
W. V. Pinczewski ◽  
D. Y. C. Chan ◽  
L. Paterson ◽  
P. E. �ren
Keyword(s):  
Porous Media ◽  
Network Model ◽  
Flow In Porous Media ◽  
Phase Flow ◽  
Pore Scale ◽  
Three Phase ◽  
Three Phase Flow ◽  
Scale Network ◽  
Pore Scale Network

Network Modeling of Three-Phase Flow in Porous Media

SPE Journal ◽  
1998 ◽  
Vol 3 (01) ◽  
pp. 86-96 ◽  
Author(s):  
Darryl H. Fenwick ◽  
Martin J. Blunt
Keyword(s):  
Porous Media ◽  
Network Modeling ◽  
Flow In Porous Media ◽  
Phase Flow ◽  
Three Phase ◽  
Three Phase Flow

scholarly journals COMPUTATIONAL TECHNIQUES FOR MODELING NON-NEWTONIAN FLOW IN POROUS MEDIA

2010 ◽  
Vol 01 (02) ◽  
pp. 239-256 ◽  
Author(s):  
TAHA SOCHI
Keyword(s):  
Porous Media ◽  
Network Modeling ◽  
Flow In Porous Media ◽  
Computational Techniques ◽  
Pore Scale ◽  
Newtonian Flow ◽  
Modeling Techniques ◽  
Scale Network ◽  
Computational Resources ◽  
Pore Scale Network

Modeling the flow of non-Newtonian fluids in porous media is a challenging subject. Several approaches have been proposed to tackle this problem. These include continuum models, numerical methods, and pore-scale network modeling. The latter proved to be more successful and realistic than the rest. The reason is that it captures the essential features of the flow and porous media using modest computational resources and viable modeling strategies. In this article we present pore-scale network modeling techniques for simulating non-Newtonian flow in porous media. These techniques are partially validated by theoretical analysis and comparison to experimental data.

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