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Geological Storage as a Carbon Mitigation Option
Thu, Jan 17, 2008 @ 12:45 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Lyman Handy Colloquium SeriesPresentingMichael Celia
Princeton UniversityAbstractThe most promising approach to solve the carbon problem involves widespread implementation of zero-emission power plants. One promising option is to use fossil fuel-based plants with carbon capture and storage (CCS) technology. While a variety of storage options are being studied, geological storage appears to be most viable. Injection of captured CO2 into deep geological formations leads to a fairly complex flow system involving multiple fluid phases, a range of potential geochemical reactions, and mass transfer across phase interfaces.
General models of this system are computationally demanding, with the problem made more difficult by the large range of spatial scales involved, and the importance of local features for both fluid flow and geochemical reactions. An especially important local feature involves leakage pathways, with one example being abandoned wells associated with the century-long legacy of oil and gas exploration and production. Such pathways also have large uncertainties associated with their properties.
Therefore, inclusion of leakage in the storage analysis requires resolution of multiple scales, and incorporation of large uncertainties.
Taken together, these render standard numerical simulators ineffective due to their excessive computational demands. A series of simplifications to the governing equations can reduce computational demands, and ultimately render the system solvable by analytical or semi-analytical methods. These solutions, while restrictive in their assumptions, allow for large-scale analysis of leakage in a probabilistic framework. An example from Alberta, Canada will be used to demonstrate the utility of these solutions.Location: Olin Hall of Engineering (OHE) - 122
Audiences: Everyone Is Invited
Contact: Petra Pearce Sapir