- Author
- Tom Bultreys (UGent) , Sharon Ellman (UGent) , Christian M. Schlepütz, Matthieu Boone (UGent) , Gülce Kalyoncu Pakkaner (UGent) , Shan Wang, Mostafa Borji (UGent) , Stefanie Van Offenwert (UGent) , Niloofar Moazami Goudarzi (UGent) , Wannes Goethals (UGent) , Chandra Winardhi (UGent) and Veerle Cnudde (UGent)
- Organization
- Project
- Abstract
- Many environmental and industrial processes depend on how fluids displace each other in porous materials. However, the flow dynamics that govern this process are still poorly understood. This dataset introduces a novel 4D micro-velocimetry method to study this, based on tracking flow-tracing micro-particles (silver-coated hollow glass spheres of 10 µm diameter) using high-resolution X-ray computed tomography with fast imaging rates. The measurement was done at the TOMCAT beamline of the Swiss Light Source. The dataset pertains to unsteady-state multiphase flow in a porous sintered glass filter sample, in which a non-wetting phase (silicon oil) was injected at constant rate to displace the wetting phase (water doped with potassium iodide: 10%wt KI brine). The tracer particles were dispersed in the non-wetting phase. The dataset spans a time window of 50 seconds during which 200 tomograms were acquired (i.e. 4 Hz imaging rate), each with a 2.75 micrometer voxel size. During this time window, the dynamics prior, during and after a Haines jump were captured. We provide reconstructions without phase retrieval which maximize the contrast between the tracer particles and the non-wetting phase, and reconstructions with Paganin phase retrieval that maximize the contrast between the non-wetting and the wetting phase. The data shows that Haines jumps cause perturbations to the 3D flow field in the porous medium and makes it possible to investigate the non-equilibrium energy dynamics.
- Keywords
- X-ray computed tomography, Synchotron
- License
- CC-BY-SA-4.0
- Access
- open access
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HYJ3R46GE7SEPXFXSSZ77QGA
@misc{01HYJ3R46GE7SEPXFXSSZ77QGA,
abstract = {{Many environmental and industrial processes depend on how fluids displace each other in porous materials. However, the flow dynamics that govern this process are still poorly understood. This dataset introduces a novel 4D micro-velocimetry method to study this, based on tracking flow-tracing micro-particles (silver-coated hollow glass spheres of 10 µm diameter) using high-resolution X-ray computed tomography with fast imaging rates. The measurement was done at the TOMCAT beamline of the Swiss Light Source. The dataset pertains to unsteady-state multiphase flow in a porous sintered glass filter sample, in which a non-wetting phase (silicon oil) was injected at constant rate to displace the wetting phase (water doped with potassium iodide: 10%wt KI brine). The tracer particles were dispersed in the non-wetting phase. The dataset spans a time window of 50 seconds during which 200 tomograms were acquired (i.e. 4 Hz imaging rate), each with a 2.75 micrometer voxel size. During this time window, the dynamics prior, during and after a Haines jump were captured. We provide reconstructions without phase retrieval which maximize the contrast between the tracer particles and the non-wetting phase, and reconstructions with Paganin phase retrieval that maximize the contrast between the non-wetting and the wetting phase. The data shows that Haines jumps cause perturbations to the 3D flow field in the porous medium and makes it possible to investigate the non-equilibrium energy dynamics.}},
author = {{Bultreys, Tom and Ellman, Sharon and Schlepütz, Christian M. and Boone, Matthieu and Kalyoncu Pakkaner, Gülce and Wang, Shan and Borji, Mostafa and Van Offenwert, Stefanie and Moazami Goudarzi, Niloofar and Goethals, Wannes and Winardhi, Chandra and Cnudde, Veerle}},
keywords = {{X-ray computed tomography,Synchotron}},
publisher = {{PSI}},
title = {{4D X-ray micro-velocimetry data of multiphase flow perturbations in porous media}},
url = {{http://doi.org/10.16907/C0DFA6C8-25DA-454E-82FA-FC5DB7F7C6F2}},
year = {{2023}},
}
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