Use of Science-Based Prediction to Characterize Reservoir Behavior as a Function of Injection Characteristics, Geological Variables, and Time

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dc.contributor.authorBromhal, Grant
dc.contributor.authorArcentales Bastidas , Danilo
dc.contributor.authorBirkholzer , Jens
dc.contributor.authorCihan , Abdullah
dc.contributor.authorDempsey, David
dc.contributor.authorFathi , Ebrahim
dc.contributor.authorKing , Seth
dc.contributor.authorPawar , Rajesh
dc.contributor.authorRichard , Tom
dc.contributor.authorWainwright , Haruko
dc.contributor.authorZhang , Yingqi
dc.contributor.authorGuthrie , George
dc.date.accessioned2023-10-02T03:51:41Z
dc.date.available2023-10-02T03:51:41Z
dc.date.issued2014
dc.date.updated2023-06-08T21:55:56Z
dc.description.abstractThis report summarizes a detailed study designed to generate a baseline understanding of how pressure plumes and carbon dioxide (CO2) plumes behave in CO2 storage reservoirs as a function of storage-site properties, injection conditions, and time. The goal of the study was to provide quantitative insight into how operational and geologic factors can impact risk at storage sites both during injection and post injection.
dc.identifier.citationBromhal G, Arcentales Bastidas D, Birkholzer J, Cihan A, Dempsey D, Fathi E, King S, Pawar R, Richard T, Wainwright H, Zhang Y, Guthrie G (2014). Use of Science-Based Prediction to Characterize Reservoir Behavior as a Function of Injection Characteristics, Geological Variables, and Time.
dc.identifier.urihttps://hdl.handle.net/10092/106239
dc.rightsAll rights reserved unless otherwise stated
dc.rights.urihttp://hdl.handle.net/10092/17651
dc.subject.anzsrc40 - Engineering::4019 - Resources engineering and extractive metallurgy::401907 - Petroleum and reservoir engineering
dc.subject.anzsrc40 - Engineering::4019 - Resources engineering and extractive metallurgy::401902 - Geomechanics and resources geotechnical engineering
dc.titleUse of Science-Based Prediction to Characterize Reservoir Behavior as a Function of Injection Characteristics, Geological Variables, and Time
dc.typeReports
uc.collegeFaculty of Engineering
uc.departmentCivil and Natural Resources Engineering
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