Direct and Stochastic Generation of Network Models from Tomographic Images; Effect of Topology on Residual Saturations
By R. Sok, Mark A. Knackstedt, Adrian P. Sheppard, W. V. Pinczewski, W. Brent Lindquist, A. Venkatarangan, L. Paterson. 2002
124 citations recorded by the source corpus.
Subfields: Environmental Engineering, Mechanics of Materials, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/c41649e1b0654859b67f70765208b202683303ca
How researchers see this paper
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In Environmental Engineering
- Kurt Roth
- Manfred Krafczyk
- Jonas Tölke
- V. Schulz
- A. Raoof
- Martin J. Blunt
- P. Valvatne
- S. Majid Hassanizadeh
In Mechanics of Materials
- Martin J. Blunt
- A. Raoof
- S. Majid Hassanizadeh
- Branko Bijeljic
- Ali Q. Raeini
- Ruben Juanes
- J. Gostick
In Ocean Engineering
- Martin J. Blunt
- A. Raoof
- S. Majid Hassanizadeh
- Branko Bijeljic
- Ali Q. Raeini
- J. Gostick
- Knut-Andreas Lie
- Ruben Juanes
Citations in the corpus
- A New Method for Generating Pore-Network Models of Porous Media (2010, background): “Sok et al. (2002) have concluded that a more complete description of network topology is needed to accurately predict residual phase saturations.”
- Comparison of a Lattice‐Boltzmann Model, a Full‐Morphology Model, and a Pore Network Model for Determining Capillary Pressure–Saturation Relationships (2005, methodology): “To overcome this deficiency (Vogel, 2000), and residual saturations (Sok et al., 2002).a correction factor could be introduced, which could be Hence, a correct representation of the topology is essen-estimated from the detailed structure of the porous tial when using structure models.”
- Predictive pore‐scale modeling of two‐phase flow in mixed wet media (2004, background): “Our assumption is that the higher-order topological information, which Sok et al. [2002] found was crucially important if reliable predictions of transport properties were to be made, is less specific to a given system than are properties such as pore size distribution.”