Novel fluid–fluid interface domains in geologic media
Journal Article
·
· Environmental Science: Processes & Impacts
- Univ. of Arizona, Tucson, AZ (United States)
High-resolution microtomographic imaging revealed the presence of fluid–fluid interfaces associated with physical heterogeneities such as pits and crevices present on the surfaces of natural porous media.
- Research Organization:
- Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)
- Sponsoring Organization:
- National Institute of Environmental Health Sciences (NIEHS); National Science Foundation (NSF); USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences & Biosciences Division
- Grant/Contract Number:
- P42 ES 04940; AC02-06CH11357; FG02-94ER14466
- OSTI ID:
- 1493781
- Journal Information:
- Environmental Science: Processes & Impacts, Vol. 21, Issue 1; ISSN 2050-7887
- Publisher:
- Royal Society of ChemistryCopyright Statement
- Country of Publication:
- United States
- Language:
- ENGLISH
Cited by: 7 works
Citation information provided by
Web of Science
Web of Science
Assessing XMT‐Measurement Variability of Air‐Water Interfacial Areas in Natural Porous Media
|
journal | January 2020 |
Pore‐Scale Modeling of Fluid‐Fluid Interfacial Area in Variably Saturated Porous Media Containing Microscale Surface Roughness
|
journal | January 2020 |
Similar Records
Comparison of fluid-fluid interfacial areas measured with X-ray microtomography and interfacial partitioning tracer tests for the same samples
Image analysis algorithms for estimating porous media multiphase flow variables from computed microtomography data: a validation study
Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media
Journal Article
·
Sat Jul 16 00:00:00 EDT 2016
· Water Resources Research
·
OSTI ID:1493781
Image analysis algorithms for estimating porous media multiphase flow variables from computed microtomography data: a validation study
Journal Article
·
Fri Sep 03 00:00:00 EDT 2010
· Comput. Geosci.
·
OSTI ID:1493781
Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media
Journal Article
·
Sat May 29 00:00:00 EDT 2021
· Transport in Porous Media
·
OSTI ID:1493781
+6 more