Automated contact angle estimation for three-dimensional X-ray microtomography data

Klise, Katherine A.; Moriarty, Dylan; Yoon, Hongkyu; Karpyn, Zuleima

doi:10.1016/j.advwatres.2015.11.006

Automated contact angle estimation for three-dimensional X-ray microtomography data

Journal Article · Mon Nov 09 23:00:00 EST 2015 · Advances in Water Resources

DOI:https://doi.org/10.1016/j.advwatres.2015.11.006· OSTI ID:1333532

Klise, Katherine A. ^[1]; Moriarty, Dylan ^[1]; ^[1]; Karpyn, Zuleima ^[2]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
The Pennsylvania State Univ., University Park, PA (United States)

Multiphase flow in capillary regimes is a fundamental process in a number of geoscience applications. The ability to accurately define wetting characteristics of porous media can have a large impact on numerical models. In this paper, a newly developed automated three-dimensional contact angle algorithm is described and applied to high-resolution X-ray microtomography data from multiphase bead pack experiments with varying wettability characteristics. The algorithm calculates the contact angle by finding the angle between planes fit to each solid/fluid and fluid/fluid interface in the region surrounding each solid/fluid/fluid contact point. Results show that the algorithm is able to reliably compute contact angles using the experimental data. The in situ contact angles are typically larger than flat surface laboratory measurements using the same material. Furthermore, wetting characteristics in mixed-wet systems also change significantly after displacement cycles.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1333532

Alternate ID(s):: OSTI ID: 1327444

Report Number(s):: SAND--2014-20579J; PII: S0309170815002651

Journal Information:: Advances in Water Resources, Journal Name: Advances in Water Resources Journal Issue: C Vol. 95; ISSN 0309-1708

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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In situ characterization of mixed-wettability in a reservoir rock at subsurface conditions Alhammadi, Amer M.; AlRatrout, Ahmed; Singh, Kamaljit Scientific Reports, Vol. 7, Issue 1 https://doi.org/10.1038/s41598-017-10992-w	journal	September 2017
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46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
58 GEOSCIENCES
X-ray microtomography
contact angle
multiphase
wettability

Automated contact angle estimation for three-dimensional X-ray microtomography data

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