Cody, B.M., Baù, D. and González-Nicolás, A. (2015) Stochastic injection-strategy optimization for the preliminary assessment of candidate geological storage sites. Hydrogeology Journal, 23 (6). 1229 -1245. ISSN 1431-2174
Abstract
Geological carbon sequestration (GCS) has been identified as having the potential to reduce increasing atmospheric concentrations of carbon dioxide (CO<inf>2</inf>). However, a global impact will only be achieved if GCS is cost-effectively and safely implemented on a massive scale. This work presents a computationally efficient methodology for identifying optimal injection strategies at candidate GCS sites having uncertainty associated with caprock permeability, effective compressibility, and aquifer permeability. A multi-objective evolutionary optimization algorithm is used to heuristically determine non-dominated solutions between the following two competing objectives: (1) maximize mass of CO<inf>2</inf> sequestered and (2) minimize project cost. A semi-analytical algorithm is used to estimate CO<inf>2</inf> leakage mass rather than a numerical model, enabling the study of GCS sites having vastly different domain characteristics. The stochastic optimization framework presented herein is applied to a feasibility study of GCS in a brine aquifer in the Michigan Basin (MB), USA. Eight optimization test cases are performed to investigate the impact of decision-maker (DM) preferences on Pareto-optimal objective-function values and carbon-injection strategies. This analysis shows that the feasibility of GCS at the MB test site is highly dependent upon the DM’s risk-adversity preference and degree of uncertainty associated with caprock integrity. Finally, large gains in computational efficiency achieved using parallel processing and archiving are discussed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer-Verlag Berlin Heidelberg 2015. This is an author produced version of a paper subsequently published in Hydrogeology Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Climate change; Analytical models; Optimization; Carbon sequestration |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Dec 2015 15:00 |
Last Modified: | 04 Nov 2016 01:53 |
Published Version: | http://dx.doi.org/10.1007/s10040-015-1250-5 |
Status: | Published |
Publisher: | Springer Verlag |
Refereed: | Yes |
Identification Number: | 10.1007/s10040-015-1250-5 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:89694 |