Comparison of a Lattice‐Boltzmann Model, a Full‐Morphology Model, and a Pore Network Model for Determining Capillary Pressure–Saturation Relationships

By H. Vogel, Jonas Tölke, V. Schulz, Manfred Krafczyk, Kurt Roth. 2005

188 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/7547ed3c0194e11385c8aac86d0b7ca5bcb11b19

How researchers see this paper

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

In Computational Mechanics

1. T. Gebrenegus
2. Hans-Jörg Vogel
3. Markus Tuller
4. P. Iassonov

In Computer Vision and Pattern Recognition

1. T. Gebrenegus
2. Steffen Schlüter
3. Markus Tuller
4. P. Iassonov

In Ocean Engineering

1. Steffen Schlüter
2. Denis Allard
3. Philippe Renard

Citations in the corpus

• Segmentation of X‐ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures (2009, background): “Udawatta et al. [2006] MED 190 soil manual, 2D macropore properties Van Geet et al. [2003] M-IND 22 limestone, sandstone thresholding, 3D porosity Vogel et al. [2005] M-IND 15 sintered glass thresholding, 3D characteristic curve Wildenschild et al. [2002] IND, MED, SYN 6.7–368 sand thresholding, 3”
• Quantification of soil structure based on Minkowski functions (2010, background): “In this way hydraulic properties (Vogel et al., 2005; Schaap et al., 2007) or the prediction of their hysteresis (Ahrenholz et al.”