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
- 2Harding, Benjamin E
- 2Martin, Ryan
- 1Acorn, Tyler
- 1Amihere, Norris
- 1Barnett, Ryan M.
- 1Barros Ortiz, Rafael
- 16Deutsch, Clayton (Civil and Environmental Engineering)
- 3Deutsch, Clayton V. (Civil and Environmental Engineering)
- 2Deutsch, Clayton (Mining Engineering)
- 2Jeff Boisvert (Civil and Environmental Engineering)
- 1Askari-Nasab, Hooman (Civil and Environmental Engineering)
- 1Askari-Nasab,Hooman (School of Mining and Petroleum Engineering)
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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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Spring 2016
High resolution spatial numerical models of metallurgical properties constrained by geological controls and more extensively measured grade and geomechanical properties constitute an important part of geometallurgy. The spatial modeling of metallurgical rock properties has unique challenges....
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Spring 2022
Hydraulically fractured horizontal wells are widely adopted for the development of tight or shale gas reservoirs. The presence of highly heterogeneous, multi-scale, fracture systems often renders any detailed characterization of the fracture properties challenging. The discrete fracture network...
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Fall 2017
The mining industry has become increasingly concerned with the effects of uncertainty and risk in resource modeling. Some companies are moving away from deterministic geologic modeling techniques to approaches that quantify uncertainty. Stochastic modeling techniques produce multiple realizations...
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Spring 2015
Resource evaluation of a mineral deposit is an important and challenging task. Traditional estimation methods provide a best estimate at the block scale based on available data. The pitfalls of histogram smoothing and conditional bias associated with these methods are well known. Quantifying...
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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 2015
Evaluating the resource contained in a precious metals deposit is a challenging task because they are often characterized by heavily-skewed grade distributions and outlier values. Traditional geostatistical modelling methods are difficult to apply in the presence of outlier values because they...
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Fall 2009
Subsurface geological characterization requires solving a classification problem to obtain a model of facies that is later populated with continuous properties. The classification problem, which consists of assigning a single category to any unsampled location based on observed data, is analyzed...
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Fall 2022
Quantifying uncertainty is key to rational decision‐making in a geological context. Samples collected for Mineral Exploration are usually sparse and only represent a very small portion of the volume that might be mined in the future. To characterize and quantify geological uncertainty, it is...
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Spring 2023
This thesis sets out a workflow to quantify uncertainty of the Arrow Deposit, a tabular, vein type, high-grade, basement-hosted, uranium deposit located on NexGen Energy Limited’s 100%-owned Rook I property in northern Saskatchewan. The uncertainty associated with the volume, grade, and density...