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.
INSPIRE
Identification
- File identifier
- a20f3f88-1098-5a13-e054-002128a47908 XML
- Resource type
- dataset
Online resource
Resource identifier
- Metadata Language
- English (en)
- Spatial representation type
- textTable
Encoding
- Format
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.mat
- Format
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.dat
- Format
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.m
- Format
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.inc
- Format
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.mp4
- Format
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.dicomm
- Format
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.txt
- Format
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.data
Projection
- code
- ED50 (EPSG::4230)
Classification of data and services
- Topic category
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- Geoscientific information
Classification of data and services
Coupled resource
Coupled resource
Classification of data and services
Coupled resource
Coupled resource
Keywords
- GEMET - INSPIRE themes, version 1.0
- BGS Thesaurus of Geosciences
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UKCCS
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Carbon capture and storage
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NGDC Deposited Data
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Flow measurement
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Simulation
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Capillarity
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Petrophysics
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Scaling up
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Geographic coverage
Temporal reference
Temporal extent
Temporal extent
- Dataset Reference Date ()
- 2020-03-29
Quality and validity
- Lineage
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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.
Conformity
Conformity
Conformity
Conformity
Conformity
Conformity
- Explanation
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See the referenced specification
Restrictions on access and use
- Access constraints
- licenceOGL
- Access constraints
- Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
- Access constraints
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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.
- Access constraints
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Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Responsible organization (s)
Contact for the resource
- Organisation name
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Imperial College London
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not available
- Organisation name
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Imperial College London
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not available
- Organisation name
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CSIRO
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not available
- Organisation name
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British Geological Survey
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not available
- Organisation name
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British Geological Survey
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not available
Responsible organization (s)
Contact for the resource
- Organisation name
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Imperial College London
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not available
- Organisation name
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Imperial College London
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not available
- Organisation name
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CSIRO
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not available
- Organisation name
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British Geological Survey
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not available
- Organisation name
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British Geological Survey
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not available
Metadata information
Contact for the metadata
- Organisation name
-
British Geological Survey
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enquiries@bgs.ac enquiries@bgs.ac.uk
- Metadata Date
- 2024-04-19
- Metadata Language
- English (en)