This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
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.
Items in this Collection
- 26Deutsch, Clayton (Civil and Environmental Engineering)
- 1Biggar, Kevin (Civil and Environmental Engineering)
- 1Boisvert, Jeff (Civil and Environmental Engineering)
- 1Boisvert, Jeffery (Civil and Environmental Engineering)
- 1Cunha, Jose Carlos (Petrobras America Inc.)
- 1Mendoza, Carl (Earth and Atmospheric Sciences)
- 2Harding, Benjamin E
- 1Alshehri, Naeem S.
- 1Amihere, Norris
- 1Black, Warren E
- 1Boisvert, Jeff
- 1Camana Calderon, Fernando Agustin
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Spring 2022
Geostatistical modeling takes geological data as inputs and builds statistical models for resource prediction. Geostatistics consists of several components, including preprocessing, modeling, and postprocessing. Exploratory data analysis (EDA) is an early step in preprocessing. It provides...
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Multivariate Geostatistical Prediction of Geochemical Measurements for Use in Mineral Prospectivity Modeling
DownloadFall 2016
Traditional approaches to mineral exploration rely on personal experience, conceptual genetic models, past exploration data, and geological characteristics found in analogous target deposit types to locate and evaluate prospective areas. With the increase in both size and complexity of datasets...
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Multivariate Reservoir Property Modeling with Hierarchical Truncated Pluri-Gaussian and Projection Pursuit Multivariate Transformation Techniques
DownloadFall 2022
To characterize a petroleum reservoir and to develop a reliable static and dynamic model for assessing resources and reserves, the rock and fluid properties of the subsurface formation are modeled. In most cases, multiple reservoir properties (categorical and continuous variables) are jointly...
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Fall 2009
Natural attenuation refers to the observed reduction in contaminant concentration via natural processes as contaminants migrate from the source into environmental media. Assessment of the dimensions of contaminant plumes and prediction of their fate requires predictions of the rate of dissolution...
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Spring 2010
A reliable estimate of the amount of oil or gas in a reservoir is required for development decisions. Uncertainty in reserve estimates affects resource/reserve classification, investment decisions, and development decisions. There is a need to make the best decisions with an appropriate level...
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Spring 2016
Improving the accuracy of estimates is of great importance in the mining industry. These estimates can be improved with the use of available secondary data. This includes any less trusted data source containing bias and error such as production sampling, legacy drill holes, or cheaper lower...