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Permanent link (DOI): https://doi.org/10.7939/R3XQ0G

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Development and Application of BowTie Risk Assessment Methodology for Carbon Geological Storage Projects Open Access

Descriptions

Other title
Subject/Keyword
BowTie
Risk Assessmen
Weyburn Project
Carbon Geological Storage
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Irani, Mazda
Supervisor and department
Dr. Rick Chalaturnyk
Examining committee member and department
Dr. E. Davies
Dr. N.R. Morgenstern
Dr. D. Sego
Dr. A. Leach
Dr. A. Korre
Department
Department of Civil and Environmental Engineering
Specialization
Geotechnical Engineering
Date accepted
2012-08-30T14:12:20Z
Graduation date
2014-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
The objective of this research is to develop a framework for risk assessment of CO2 geological storage projects. This is achieved using the BowTie approach as a framework for capturing the failure of CO2 geological storage, and using BowTie approach to combine different failure mechanisms such as wellbore leakage and caprock leakage in a linguistic manner. One of the major difficulties in expert judgment is subjective and dispersed opinion around risk. This research attempts to define dispersed opinions as experts plan knowledge level over different risk hazards by using the Dempster-Shafer theory. In this study, belief on experts’ judgments propagate through the right hand side of the BowTie structure (which is fault tree structure) using Boolean algebra and the Dempster-Shafer theory, while expert-evaluated index on caprock and wellbore propagate through the fault tree section of the BowTie structure using fuzzy logic theory. Finally, risk and belief are combined to assign different belief values to different evaluations of calculated risk values. In this study, the concept of fuzzy logic is explored as one approach to characterizing the risks associated with CO2 storage in the Weyburn project. The Weyburn-Midale CO2 Monitoring and Storage Project is considered sufficiently well documented to demonstrate the applicability of fuzzy set theory to risk assessment of carbon sequestration projects. Public data available for the International Energy Agency Greenhouse Gas R&D Programme (IEA GHG) Weyburn-Midale CO2 Monitoring and Storage Project is used for modelling and to assess the applicability of the proposed approach.
Language
English
DOI
doi:10.7939/R3XQ0G
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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