UKGEOS PNM Supporting Data

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.<br>To create the figures presented in the article run the python script 'analysis.py'<br>Description of data:<br>- overall_GG_SF_poro_perm.csv = porosity and permeability data collected in this study, obtained from measurements on the micro CT images using PerGeos.<br>- 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.<br>- Each folder with the prefix 'SF' (Sellafield) contains 4 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. - 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.<br>- 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. - 'PRThomson' contains the supporting data from our research group in CSV file format where the file name reflects the reference in our article.