Compressed data sets for several tomographic images and segmented data are available, with a reference to publications tab for details. The data sets are capturing segmented micro-CT images and distance maps derived on these segmented datasets. The distance maps represent different potentials and boundary conditions for setting capillary pressure, mimicking mercury intrusion capillary pressure (MICP), porous plate (PP) and centrifuge capillary pressure (CP) profiles. Calculations are carried out under the assumption of perfect wetting. We envisage modelling more complex wetting behaviour in the future; the data is made available in context of a joint collaboration between University of Texas Professor Masa Prodanovic and University of New South Wales Professor Christoph Arns. Data sets are produced from the University of New South Wales in Sydney. The data sets are available in NetCDF format; Python files that read them into NumPy arrays and export .tiff are provided and created by Ahad Momin. ImageJ and NCview are other options for reading NetCDF files.
Christoph Arns (UNSW Sydney)
Feb. 12, 2020
The downloadable archive contains all project data; the size of the archive file for this project is 25.49 GB.Download