Use of Science-Based Prediction to Characterize Reservoir Behavior as a Function of Injection Characteristics, Geological Variables, and Time
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Date
2014
Authors
Bromhal, Grant
Arcentales Bastidas , Danilo
Birkholzer , Jens
Cihan , Abdullah
Dempsey, David
Fathi , Ebrahim
King , Seth
Pawar , Rajesh
Richard , Tom
Wainwright , Haruko
Abstract
This 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.
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Citation
Bromhal 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.
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ANZSRC fields of research
40 - Engineering::4019 - Resources engineering and extractive metallurgy::401907 - Petroleum and reservoir engineering
40 - Engineering::4019 - Resources engineering and extractive metallurgy::401902 - Geomechanics and resources geotechnical engineering
40 - Engineering::4019 - Resources engineering and extractive metallurgy::401902 - Geomechanics and resources geotechnical engineering
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