Automated contact angle estimation for three-dimensional X-ray microtomography data |
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| Affiliation: | 1. Geoscience Research and Applications Group, Sandia National Laboratories, Albuquerque, NM 87185, United States;2. 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;1. Institute of Petroleum Engineering, Heriot–Watt University, Riccarton, Edinburgh EH14 4AS, United Kingdomn;2. School of GeoSciences, University of Edinburgh, West Mains Road, Edinburgh EH9 3JW, United Kingdomn;1. Géosciences Environnement Toulouse, Observatoire Midi-Pyrénées, Université de Toulouse, Université Paul Sabatier, CNRS, IRD, 14 avenue Edouard Belin, F-31400 Toulouse, France;2. Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA 94720, United States;3. CNRS, Université de Bordeaux, Institut de Chimie de la Matière Condensée de Bordeaux, UPR 9048, F-33608 Pessac, France;1. Institute of Applied Geosciences, Berlin Institute of Technology, Sekr. BH 3-2, Ernst-Reuter-Platz 1, 10587 Berlin, Germany;2. Institute of Environmental Sciences, Bogazici University, 34342 Bebek, Istanbul, Turkeyn;1. School of Petroleum Engineering, UNSW, Sydney, Australia;2. Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman, Iran |
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| Abstract: | 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. Wetting characteristics in mixed-wet systems also change significantly after displacement cycles. |
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