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Automated contact angle estimation for three-dimensional X-ray microtomography data.pdf
Advances in Water Resources 95 (2016) 152–160
Contents lists available at ScienceDirect
Advances in Water Resources
journal homepage: /locate/advwatres
Automated contact angle estimation for three-dimensional X-ray microtomography data
Katherine A. Klise a,?, Dylan Moriarty a, Hongkyu Yoon a, Zuleima Karpyn b
a Geoscience Research and Applications Group, Sandia National Laboratories, Albuquerque, NM 87185, United States b John and Willie Leone Family Department of Energy and Mineral Engineering and EMS Energy Institute, The Pennsylvania State University, University Park, PA 16802, United States
article info
Article history: Available online 10 November 2015
Keywords: Contact angle Multiphase Wettability X-ray microtomography
abstract
Multiphase ?ow in capillary regimes is a fundamental process in a number of geoscience applications. The ability to accurately de?ne 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 ?nding the angle between planes ?t to each solid/?uid and ?uid/?uid interface in the region surrounding each solid/?uid/?uid 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 ?at surface laboratory measurements using the same material. Wetting characteristics in mixed-wet systems also change signi?cantly after displacement cycles.
? 2016 Elsevier Ltd. All rights reserved.
1. Introduction
Prediction of multiphase ?ow in geologic materials is crucial to understanding, developing and exploiting subsurface systems including emerging geological activities such as enhanced oil recovery [1,2] and geologic CO2 storage [3]. Pore-scale
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