UKGEOS_PNM_Paper.zip (172.39 MB)

UKGEOS pore network models from Glasgow and Sellafield samples

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posted on 29.07.2020 by Ryan Payton, Mark Fellgett, Brett Clark, Domenico Chiarella, Andrew Kingdon, Saswata Hier-Majumder
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

Funding

London NERC DTP

History

Date Created

24/07/2020

Date Available

24/07/2020

File Formats

.csv

Licence

Exports