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Medical X-ray CT Data and Model of Rate-Dependent Capillary Trapping in Heterogeneous Bentheimer Rock.

Publisher
British Geological Survey (BGS)
Updated
13 August 2026
Topic
Not set
Licence
Not set

Summary

The data presented herein comprises raw and upscaled medical X-Ray CT data, MATLAB processing files and MATLAB analytical model files for the paper ‘Rate dependency of capillary heterogeneity trapping for CO2 storage’. The medical X-ray CT data is organised as three repeat experiments, each at a different flow rate. Full core scans capture the steady state core flood experiments. The core is a heterogenous Bentheimer outcrop (39 mm diameter, 15 cm length). Experimental MATLAB processing files upscale the saturation values in 3D. Post-processing MATLAB files are used to produce figures in the paper. The MATLAB analytical model files contain input parameters and code needed to run the analytical model and compare with experimental results.

Data links

Link Format Preview Updated
Citation Information - Digital Object Identifier (DOI) 13/8/2026
Data 13/8/2026

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Additional information

Source Metadata
XML, HTML
Date added
12 August 2026
Harvest GUID
32ce2053-8f1c-96ec-e063-3050940acc3d
Dataset reference date (creation)
2025-03-26
Frequency of update
notApplicable
Access constraints
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Responsible party
Imperial College London (originator); CSIRO (originator); British Geological Survey (distributor, pointOfContact)
ISO 19139 resource type
nonGeographicDataset
Metadata language
eng

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