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Analyzing potential improvements to a semi-analytical CO₂ leakage algorithm

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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.accessioned2020-02-12T17:22:52Z
dc.date.available2020-02-12T17:22:52Z
dc.date.issued2012
dc.description2012 annual AGU hydrology days was held at Colorado State University on March 21 - March 23, 2012.
dc.descriptionIncludes bibliographical references.
dc.description.abstractA long history of using of fossil fuels has resulted in increased atmospheric CO2 concentrations. This anthropogenic process has influenced global climate change. One possible way to retard this increasing atmospheric concentration is to geologically sequester CO2 emissions. Successfully implementation of this technology requires a full understand of associated risks and detailed resource optimization. It is important to choose the appropriate level of complexity when selecting the type of simulation model to apply to this problem. Many risk assessment and optimization tools require large numbers of realizations. In most cases, using a full scale numerical CO2 leakage model for this process becomes computationally prohibitive. Therefore, faster CO2 leakage estimations are needed. An excellent semi-analytical multi-phase CO2 leakage algorithm has been developed by Celia et al. (2011). In the following work, three possible accuracy improvements to this algorithm are proposed and explored. Differences between leakage rates and pressure distributions are compared between existing and modified methods. Improvement suggestions are then made from these observations.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/201015
dc.identifier.urihttp://dx.doi.org/10.25675/10217/201015
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.titleAnalyzing potential improvements to a semi-analytical CO₂ leakage algorithm
dc.title.alternativeHydrology days 2012
dc.title.alternativeAGU hydrology days 2012
dc.typeText

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