Theses and Dissertations

This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.

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  • Spring 2018

    Ma, Zhiwei

    these trained models are shown to be both reliable and satisfactory. Next, a series of synthetic SAGD models based on typical Athabasca oil reservoir properties and operating conditions is constructed. Heterogeneities are modeled by randomly sampling distribution, volume, and orientation of shale

    barriers and lean zones from several probability distributions inferred from field data, and are superposed to the base homogenous models. Many parameterization schemes are investigated to extract input and output parameters from production time-series data and heterogeneous configurations, respectively

    is of great interest to propose a feasible SAGD analysis alternative that is capable of utilizing these field data for production analysis and heterogeneities characterization. Data-driven modeling techniques, which involve data analytics and implementation of artificial intelligence (AI) methods for

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