Multiscale whole systems modelling and analysis project : a description of the selection, building and characterisation of a set of 3D generic CO₂ storage models
Quinn, M.; Hannis, S.; Williams, J.; Kirby, G.; McCormac, M.. 2018 Multiscale whole systems modelling and analysis project : a description of the selection, building and characterisation of a set of 3D generic CO₂ storage models. Edinburgh, UK, British Geological Survey, 88pp. (OR/18/013) (Unpublished)
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Abstract/Summary
This report details the selection and building of three 3D geological models by the British Geological Survey (BGS) as part of the NERC funded 'Multiscale Whole Systems Modelling and Analysis for CO₂ capture, transport and storage (CCTS)' project (Grant Reference: NE/H013946/1). The 3-year project (2010-2013) was led by Imperial College, London (Lead Grant reference: NE/H01392X/1) with Cranfield University (later Hull), Sussex University and the British Geological Survey (BGS) as partners. The overall aim of this project was to measure the performance of different components of the CCTS chain, at micro to macro scales depending on the process, to identify possible 'best' capture, transport and storage options in different CCTS scenarios; and where possible, explore efficiencies in the integration of these very different technologies. BGS effort focused on developing methods in the building of a set of CO₂ storage reservoir models and then exploring how best to represent their diverse characteristics ahead of flow modelling. In partnership with Imperial College, the research aim was to investigate and quantify the evolution of the CO₂ plume during the lifetime of an operation and post-closure of a subsurface store. Investigations focused on modelling CO₂ injectivity to evaluate the storage capacity and performance of a number of reservoir types typical of North Sea geology.
Item Type: | Publication - Report |
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Funders/Sponsors: | British Geological Survey |
Additional Information. Not used in RCUK Gateway to Research.: | This item has been internally reviewed, but not externally peer-reviewed. |
Date made live: | 16 Mar 2018 09:28 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/519559 |
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