Data for: Using Unsupervised Machine Learning to Characterize Capillary Flow and Residual Trapping
Published: 21 May 2020| Version 2 | DOI: 10.17632/9rtxgrv9db.2
Contributor:
Hailun NiDescription
This file contains all the coreflooding experimental data used in the current study. Each experiment structure contains the 3D porosity, permeability, and CO2 saturation maps. All 3D maps are inlet first. Part of the data is processed from datasets contained in Reynolds et al. (2018).
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Institutions
Stanford University
Categories
Carbon Dioxide Geological Storage