Evaluating Technologies and Methods for Measuring Methane Emissions from the Upstream Oil and Gas Sector

dc.contributor.advisorHugenholtz, Chris H.
dc.contributor.authorFox, Thomas Arcadius Oram
dc.contributor.committeememberElse, Brent G. T.
dc.contributor.committeememberDu, Ke
dc.date2020-11
dc.date.accessioned2020-10-28T21:33:48Z
dc.date.available2020-10-28T21:33:48Z
dc.date.issued2020-10-13
dc.description.abstractMethane, a potent greenhouse gas, is commonly emitted during the production, processing, transmission, and storage of oil and natural gas (O&G). The O&G industry is the leading source of anthropogenic methane in Canada and the US, but methane measurement and mitigation strategies remain underdeveloped. In recent years, an increasing number of O&G producing jurisdictions have introduced regulations mandating methane leak detection and repair (LDAR) programs in order to reduce fugitive emissions. Meanwhile, innovation in methane measurement has exploded, with companies emerging that promise to reduce methane emissions using drones, aircraft, satellites, fixed installations, handheld instruments, and other vehicle systems. These new solutions are not well understood, and how they might contribute to reducing methane emissions is unclear. This thesis seeks to improve understanding of emerging methane-sensing technology performance and participation in the O&G industry. Specifically, it seeks to reveal whether current and emerging technologies are technically capable of reducing emissions, can meet regulatory requirements for approval, and offer cost savings relative to established methods. This thesis presents four chapters of research with the following main results: (1) Screening is a way for mobile technologies to rapidly search for large leaks. Most emerging technologies and methods use screening and can detect methane in some capacity, but much more testing is needed to understand performance metrics, precise limitations, how to direct follow-up, and mitigation potential; (2) Policies are evolving to enable adoption of new systems, but careful work will be required to properly evaluate suitability through controlled testing, simulation modeling, and piloting; (3) LDAR-Sim and similar tools can support the development of LDAR programs with new technologies but modeling results are highly sensitive to technology performance assumptions, empirical inputs, and environmental conditions; (4) Screening technologies that require follow up may struggle to be cost-effective due to high quantification errors and the confounding presence of vented and combustion emissions at most facilities. Impressive progress has been made in developing, enabling, and implementing new LDAR technologies, but regulators, industry, and researchers should continue to work together to ensure credible and defensive emissions reductions are achieved through implementation.en_US
dc.identifier.citationFox, T. A. O. (2020). Evaluating Technologies and Methods for Measuring Methane Emissions from the Upstream Oil and Gas Sector (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/38354
dc.identifier.urihttp://hdl.handle.net/1880/112715
dc.language.isoengen_US
dc.publisher.facultyArtsen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectmethaneen_US
dc.subjectLDARen_US
dc.subjecttechnologyen_US
dc.subjectfugitive emissionsen_US
dc.subject.classificationAtmospheric Sciencesen_US
dc.titleEvaluating Technologies and Methods for Measuring Methane Emissions from the Upstream Oil and Gas Sectoren_US
dc.typedoctoral thesisen_US
thesis.degree.disciplineGeographyen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameDoctor of Philosophy (PhD)en_US
ucalgary.item.requestcopytrueen_US
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