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Stochastic optimization of the geological sequestration of carbon dioxide

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dc.contributor.authorCody, Brent, author
dc.contributor.authorGonzález-Nicolás, Ana, author
dc.contributor.authorBaù, Domenico, author
dc.contributor.authorColorado State University, publisher
dc.date.accessioned2020-02-13T18:43:16Z
dc.date.available2020-02-13T18:43:16Z
dc.date.issued2013
dc.description2013 annual AGU hydrology days was held at Colorado State University on March 25 - March 27, 2013.
dc.descriptionIncludes bibliographical references.
dc.description.abstractGeological sequestration has been identified as having potential to reduce increasing atmospheric concentrations of carbon dioxide (CO2). However, a global impact will only be achieved if this technology is implemented on a massive scale. This work presents a methodology for finding optimal operational schemes for potential sequestration sites having uncertain physical parameters. This tool uses a semi-analytical algorithm to estimate leakage rather than a calibrated numerical model enabling application to potential sites having vastly different domain characteristics. A genetic algorithm is used to heuristically determine non-dominated solutions between the following competing objectives: 1) minimize project cost, 2) minimize risk, and 3) maximize mass of CO2 sequestered. Parallel processing and archiving are employed to reduce computational cost. This framework has been developed into an application (COSMOS: CO2 sequestration simulation and multi-objective optimization software) to visually display domain characteristics, pressure pulse and CO2 plume propagation during simulation, and pareto-optimal tradeoff solutions. Due to the large set of assumptions made by the semi-analytical CO2 leakage algorithm, this framework may only be used for initial site planning and characterization. Once full developed, this tool has the potential for initial screening and ranking of large sets of potential geological sequestration sites.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/201036
dc.identifier.urihttp://dx.doi.org/10.25675/10217/201036
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofHydrology Days
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleStochastic optimization of the geological sequestration of carbon dioxide
dc.title.alternativeHydrology days 2013
dc.title.alternativeAGU hydrology days 2013
dc.typeText

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