ArticleScientific data2018
Time-resolved synchrotron X-ray micro-tomography datasets of drainage and imbibition in carbonate rocks.
Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Synthetic dataset of pore scale multiphase flow from direct numerical simulations.Scientific data · 2026Article
- Time-resolved imaging of electron beam powder bed fusion using an X-ray microscope optimized for white beam radiation.Journal of synchrotron radiation · 2026Article
- A cone-beam photon-counting CT dataset for spectral image reconstruction and deep learning.Scientific data · 2025Article
- 4D microvelocimetry reveals multiphase flow field perturbations in porous media.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Terahertz imaging for non-destructive porosity measurements of carbonate rocks.Scientific reports · 2022Article
- Real-time streaming tomographic reconstruction with on-demand data capturing and 3D zooming to regions of interest.Journal of synchrotron radiation · 2022Article
- Foam-like phantoms for comparing tomography algorithms.Journal of synchrotron radiation · 2022Article
- A cone-beam X-ray computed tomography data collection designed for machine learning.Scientific data · 2019Article
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6 authors.
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Abstract
Multiphase flow in permeable media is a complex pore-scale phenomenon, which is important in many natural and industrial processes. To understand the pore-scale dynamics of multiphase flow, we acquired time-series synchrotron X-ray micro-tomographic data at a voxel-resolution of 3.28 μm and time-resolution of 38 s during drainage and imbibition in a carbonate rock, under a capillary-dominated flow regime at elevated pressure. The time-series data library contains 496 tomographic images (gray-scale and segmented) for the complete drainage process, and 416 tomographic images (gray-scale and segmented) for the complete imbibition process. These datasets have been uploaded on the publicly accessible British Geological Survey repository, with the objective that the time-series information can be used by other groups to validate pore-scale displacement models such as direct simulations, pore-network and neural network models, as well as to investigate flow mechanisms related to the displacement and trapping of the non-wetting phase in the pore space. These datasets can also be used for improving segmentation algorithms for tomographic data with limited projections.
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