Abstract
Yield-stress is a problematic and controversial non-Newtonian flow phenomenon. In this article, we investigate the flow of yield-stress substances through porous media within the framework of pore-scale network modelling. We also investigate the validity of the Minimum Threshold Path (MTP) algorithms to predict the pressure yield point of a network depicting random or regular porous media. Percolation theory as a basis for predicting the yield point of a network is briefly presented and assessed. In the course of this study, a yield-stress flow simulation model alongside several numerical algorithms related to yield-stress in porous media were developed, implemented and assessed. The general conclusion is that modelling the flow of yield-stress fluids in porous media is too difficult and problematic. More fundamental modelling strategies are required to tackle this problem in the future.
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Abbreviations
- \({\dot{\gamma}}\) :
-
Strain rate (s−1)
- τ :
-
Stress (Pa)
- τ o :
-
Yield-stress (Pa)
- τ w :
-
Stress at tube wall (Pa)
- \({\phi}\) :
-
Porosity
- C :
-
Consistency factor in Herschel–Bulkley model (Pa.sn)
- K :
-
Absolute permeability (m2)
- L :
-
Tube length (m)
- n :
-
Flow behavior index
- P :
-
Pressure (Pa)
- P y :
-
Yield pressure (Pa)
- ΔP :
-
Pressure drop (Pa)
- ΔP th :
-
Threshold pressure drop (Pa)
- Q :
-
Volumetric flow rate (m3.s−1)
- R :
-
Tube radius (m)
- T :
-
Temperature (K, °C)
- IPM:
-
Invasion percolation with memory algorithm
- MTP:
-
Minimum threshold path
- PMP:
-
Path of minimum pressure algorithm
- TYP:
-
Threshold yield pressure
- x l :
-
Lower boundary of the network model
- x u :
-
Upper boundary of the network model
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Sochi, T. Modelling the Flow of Yield-Stress Fluids in Porous Media. Transp Porous Med 85, 489–503 (2010). https://doi.org/10.1007/s11242-010-9574-z
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DOI: https://doi.org/10.1007/s11242-010-9574-z