Supporting data for the paper 'Small-scale capillary heterogeneity linked to rapid plume migration during CO2 storage' by S.J. Jackson and S. Krevor 2020 (NERC Grant NE/N016173/1)

Herein lies the supporting data for the paper 'Small-scale capillary heterogeneity linked to rapid plume migration during CO2 storage'. We supply experimental, analytical and numerical simulation data used in the paper. The supplied zipped folders follow the same order as the main paper, with codes to reproduce each figure (and those in the supporting information PDF). There are also video files (in the 5_Field_scale_simulation zipped folder) showing the final CO2 plume evolution from the static images in the main paper Figure 4. Descriptions of each of the folders are given below: 0 - README. This contains detailed instructions on the data and using the supplied files. 1 - Scaling analysis. This contains the scaling analysis analytical methods, with figure generation for Figure 1 in the main paper. 2 - Petrophysics. This contains all the petrophysical experimental data, analysis files and core flood simulation files. This is used to produce Figure 2 in the main paper. 3 - Fine_resolution_simulations. This contains the simulation files, Matlab post processing files and figure generation for the fine resolution simulations, presented in Figure 3 in the main paper. 4 - MIP_upscaling. This contains simulations files, Matlab post processing files and figure generation for the macroscopic invasion percolation scheme. The results of this are presented in the supporting information document. 5 - Field_scale_simulation. This contains the simulations files, Matlab post processing files and figure generation for the final field scale simulations in the main manuscript Figure 4 and in the supporting information. In each folder are separate READMEs containing specific information relevant for the included files.

Date (Publication): 2020-03-29

Citation identifier: http://data.bgs.ac.uk/id/dataHolding/13607601

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Imperial College London	Sam Krevor	not available	Originator
Imperial College London	Sam Krevor	not available	Principal investigator
CSIRO	Samuel Jackson	not available	Originator
British Geological Survey	Enquiries	not available	Distributor
British Geological Survey	Enquiries	not available	Point of contact

Maintenance and update frequency: notApplicable

GEMET - INSPIRE themes, version 1.0

Geology

BGS Thesaurus of Geosciences

UKCCS
Carbon capture and storage
NGDC Deposited Data
Flow measurement
Simulation
Capillarity
Petrophysics
Scaling up

dataCentre

Keywords

NERC_DDC

Access constraints: Other restrictions

Other constraints: licenceOGL

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Use constraints: Other restrictions

Other 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.

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Spatial representation type: Text, table

Language: English

Topic category

Geoscientific information

Begin date: 2017-01-03

End date: 2019-09-03

Unique resource identifier: ED50 (EPSG::4230)

Distribution format

Name	Version
.mat
.dat
.m
.inc
.mp4
.dicomm
.txt
.data

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
British Geological Survey	Enquiries	not available	Distributor

OnLine resource

Protocol	Linkage	Name
	http://www.bgs.ac.uk/ukccs/accessions/index.html#item133945

OnLine resource

Protocol	Linkage	Name
	https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item133945

OnLine resource

Protocol	Linkage	Name
	https://dx.doi.org/10.5285/8c247640-0e84-4466-851e-20df216d6a0e	Digital Object Identifier (DOI)

Hierarchy level: Dataset

Other: dataset

Conformance result

Title: INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology

Date (Publication): 2011

Explanation: See the referenced specification

Pass: No

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Explanation: See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Pass: No

Statement: The scaling analysis was performed analytically, with data input in Matlab. Experimental petrophysical data was obtained at Imperial College London using the regular core analysis experimental labs, the chemical engineering labs and the medical CT scanner experimental lab. Fine-resolution simulations were generated with Matlab and performed with CMG IMEX. Macroscopic invasion percolation simulations were performed with Matlab and CMG IMEX as a plug-in for the flow simulations. The field-scale simulations were built in Matlab, with outputs to CMG to generate MIP functions and ECLIPSE to run the full-field flow simulations. All data post-processing and figure generation was performed in Matlab. The RCAL/SCAL data are from plugs of Captain C and D sandstone samples cored from well 14-29a3 in the Goldeneye Field, North Sea, UK.