Predictive pore‐scale modeling of two‐phase flow in mixed wet media
By P. Valvatne, Martin J. Blunt. 2004
714 citations recorded by the source corpus.
Subfields: Mechanical Engineering, Mechanics of Materials, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/1364c094c0b7804de09872210552dcea158b098f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Mechanical Engineering
- Branko Bijeljic
- Masa Prodanovic
- A. Mehmani
- Ali Q. Raeini
- Ruben Juanes
- Michael L. Szulczewski
- M. Trojer
- Chaoyang Wang
In Mechanics of Materials
- Branko Bijeljic
- Martin J. Blunt
- Ali Q. Raeini
- Matthew Andrew
- Ruben Juanes
- S. Majid Hassanizadeh
- Michael L. Szulczewski
- M. Trojer
In Ocean Engineering
- Martin J. Blunt
- Branko Bijeljic
- Matthew Andrew
- Ali Q. Raeini
- H. Menke
- Masa Prodanovic
- A. Mehmani
- Ruben Juanes
Citations in the corpus
- Liquid water transport in a mixed-wet gas diffusion layer of a polymer electrolyte fuel cell (2008, background): “Valvatne and Blunt (2004) delineated the underlying pore-scale processes governing oil recovery from mixed-wet sandstone.”
- Evaluation of level set and phase field methods in modeling two phase flow with viscosity contrast through dual-permeability porous medium (2013, background): “Pore-scale models can be used to derive macro-scale constitutive relations (e.g. capillary pressure and relative permeabilities) and to provide flow properties for simulation in larger scales (Valvatne and Blunt, 2004; Ramstad et al., 2009).”
- Pore‐scale modeling of longitudinal dispersion (2004, background): “Network models of porous media that use a realistic representation of the rock structure can predict single and multiphase flow properties successfully [Oren and Bakke, 2002; Lopez et al., 2003; Oren and Bakke, 2003; Valvatne and Blunt, 2004 ].”
- Numerical Algorithms for Network Modeling of Yield Stress and other Non-Newtonian Fluids in Porous Media (2012, background): “…space (and therefore the flow physics), simulations are often found to closely match experimental data (Bryant and Pallatt 1996; Bakke and Øren 1997; Valvatne and Blunt 2004; Balhoff and Wheeler 2009; Joekar-Niasar et al. 2010) For modeling non-Newtonian flow, the fluid is usually described by a…”
- Impact of relative permeability hysteresis on the numerical simulation of WAG injection (2006, background): “Since the medium is weakly water-wet (small contact angles), trapping is controlled by snapoff (Al-Futaisi and Patzek, 2003; Valvatne and Blunt, 2004).”
- Stabilizing Fluid-Fluid Displacements in Porous Media Through Wettability Alteration (2015, methodology): “[43] P.”
- Non-equilibrium effects in capillarity and interfacial area in two-phase flow: dynamic pore-network modelling (2010, background): “…pore-network models, which have been used extensively, simulate only equilibrium states of drainage and imbibition processes without solving the pressure field (see e.g. Fatt 1956; Reeves & Celia 1996; Held & Celia 2001; Blunt et al. 2002; Valvatne & Blunt 2004; Joekar-Niasar et al. 2008, 2009).”
- The effect of microporosity on transport properties in porous media (2014, background): “Reviews on network flow models [22,23] have more details on the models and their historical development.”
- The Imaging of Dynamic Multiphase Fluid Flow Using Synchrotron-Based X-ray Microtomography at Reservoir Conditions (2015, background): “…is swelling concurrently (relying on the assumption that the wetting phase is well connected) snap-off will occur at a capillary pressure of: Pc−so = σ r (cos θa − sin θa tan β) (3) where θa is the advancing contact angle and β is the effective throat corner half-angle (Valvatne and Blunt 2004).”
- Direct simulations of two-phase flow on micro-CT images of porous media and upscaling of pore-scale forces (2014, methodology): “Pore-network models have been used to predict relative permeabilities obtained from laboratory measurements [2,12,37,39,51,55].”