Pore network modelling of two-phase flow in porous rock: the effect of correlated heterogeneity

By Mark A. Knackstedt, M. Knackstedt, Adrian P. Sheppard, Muhammad Sahimi. 2001

145 citations recorded by the source corpus.

Subfields: Environmental Engineering, Mechanics of Materials, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/01bc615d3004a0876d2a1c55f24023bfb83b3569

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Masa Prodanovic
2. Sally M. Benson
3. A. Mehmani

In Mechanics of Materials

1. D. Silin
2. T. Patzek
3. R. Seright
4. W. Brent Lindquist
5. Masa Prodanovic
6. Sally M. Benson
7. A. Mehmani
8. J. Gostick

In Ocean Engineering

1. T. Patzek
2. D. Silin
3. R. Seright
4. Masa Prodanovic
5. Sally M. Benson
6. A. Mehmani
7. J. Gostick
8. Martin J. Blunt

Citations in the corpus

• 3D image-based characterization of fluid displacement in a Berea core (2007, methodology): “The cutoff length scale for spatial correlation in the porosity distribution in Berea has been estimated to be around 3 mm [14].”
• Microtomography and Pore-Scale Modeling of Two-Phase Fluid Distribution (2011, background): “The simplicity of the idealized geometry of the flow channels makes possible simulation of a wide variety of multi-phase fluid displacement scenarios [5, 8, 27, 38, 39, 53, 56].”
• The effect of microporosity on transport properties in porous media (2014, background): “Most of the time, very wide and carefully correlated pore and throat size distributions are spread over a known structured medium [32,33].”