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ML4GCS FluidFlower dataset

Interpretations of laboratory CO2 storage FluidFlower experiments AC14 and BC02, described in Haugen et al "Physical variability in meter-scale laboratory CO2 injections in faulted geometries." doi: https://doi.org/10.100

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CreatorBoth, Jakub
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Published2026-04-21
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DOI10.5281/zenodo.19674866
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Downloads19
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Licensecc-by-4.0
File Size178.5 MB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views72
Total Downloads19

Interpretations of laboratory CO2 storage FluidFlower experiments AC14 and BC02, described in Haugen et al “Physical variability in meter-scale laboratory CO2 injections in faulted geometries.” doi: https://doi.org/10.1007/s11242-023-02047-8 focusing on cell-wise gas saturation and mass of CO2. The interpretation has been determined using the Darcy-Scale Image Analysis Toolbox DarSIA.

The datasets are organized in two separate folders `ac14` and `bc02`. Each folder contains the following files:

  • facies.csv providing a spatial map of the facies identifiers per cell
  • material_parameters.csv containing a table associating facies with hydraulic parameters
  • injection_protocol.csv containing the injection locations, durations, and rates during CO2 injection
  • metadata.json containing separate meta information on dimensions, pressure and temperature data
  • ml4gcs_spatial_map_HH_MM.csv spatial maps with saturation and CO2 mass data, where HH and MM denote hours and minutes after injection start.
  • ml4gcs_spatial_map_subset contains data for 2:30 hours (after injection) 5:00 hours, 10:00 hours, 20:00 hours, 50:00 hours, 72:00 hours (end of dataset).

The datasets are further described on the GitHub repository: Simulation-Benchmarks/ML4GCS 

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ML4GCS FluidFlower dataset (Full Dataset)178.5 MB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Both, Jakub (2026). ML4GCS FluidFlower dataset. https://doi.org/10.5281/zenodo.19674866