The International FluidFlower benchmark study dataset
<p>The dataset describes physical, laboratory CO<sub>2</sub> injection experiments in a room-scale physcial reservoir model with geological realistic geometry. The dynamics of relevant subsurface CO2 injection and trapping mechanisms are recorded in time-lapsed image-series. Five repetitions of operationally identical CO2 injection experiments were performed. For each of the five repetitions (termed C1, C2, C3, C4 and C5) one dataset is issued. Each dataset contains 137 high-resolution images with the following intervals: 10 images before CO<sub>2</sub> injection at 20 second intervals; images every 5 min during the first 360 min (6 hours) of the experiment (73 images); images every hour until 48 hours (42 images); images every 6 hours until end of experiment (12 images).</p> <p> </p> <p>The format of image names is yyMMdd_timeHHmmss_image number.TIF (e.g. '211124_time082740_DSC00067.TIF')</p> <p>Note: image series C5 contains 133 images; the 4 missing images from the 5-minute interval between 5-6 hours.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4
Dataset details
- Repository
- zenodo
- Published
- January 5, 2023
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.7510588
Scored with release 0.9.0
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