UKGEOS pore network models from Glasgow and Sellafield samples

This folder contains files for analysis of 3D micro CT images for the article "Pore Scale Assessment of Subsurface Carbon Storage Potential: Implications for the UK Geoenergy Observatories Project" by Payton, Fellgett, Clark, Chiarella and Hier-Majumder.

To create the figures presented in the article run the python script analysis.py

Description of data:

- overall_GG_SF_poro_perm.csv = porosity and permeability data collected in this study, obtained from measurements on the micro CT images using PerGeos.

- Each folder with the prefix 'GG' (Glasgow) contains 2 files:
- all_pores.csv = measurements made characterising the pore geometry within the sample using PerGeos on the micro CT images. 'all' indicates both connected and disconnected porosity.
- all_throats.csv = measurements made characterising the throat geometry within the sample using PerGeos on the micro CT images. 'all' indicates both connected and disconnected porosity.

- Each folder with the prefix 'SF' (Sellafield) contains 4 files:
- all_pores.csv (see above)
- all_grains.csv (see above)
- effective_pores.csv = measurements made characterising the pore geometry within the sample using PerGeos on the micro CT images. 'effective' indicates only connected porosity.
- effective_throats.csv = measurements made characterising the throat geometry within the sample using PerGeos on the micro CT images. 'effective' indicates only connected porosity.

- The folder 'literature_data' contains the supporting data used to plot the figures in this article which are fully referenced in the article itself. We uses these data as a comparison to our own.
- 'Poro_Perm' contains the supporting porosity and permeability measurements used where each CSV file in this folder is named after the original author, referenced in the article.
- 'Paul' contains the supporting data from our research group in CSV file format where the file name reflects the reference in our article.

Funding
London NERC DTP Studentship (NE/L002485/1)
British Geological Survey University Funding Initiative (BUFI) CASE studentship