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Skip to Search Results- 74Graduate and Postdoctoral Studies (GPS), Faculty of
- 74Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 3Renewable Resources, Department of
- 3Renewable Resources, Department of/Journal Articles (Renewable Resources)
- 2The NSERC TRIA Network (TRIA-Net)
- 2The NSERC TRIA Network (TRIA-Net)/Journal Articles (TRIA-Net)
- 55Department of Civil and Environmental Engineering
- 4Department of Renewable Resources
- 3Department of Mechanical Engineering
- 3Faculty of Nursing
- 2Department of Chemical and Materials Engineering
- 2Department of Computing Science
- 17Deutsch, Clayton (Civil and Environmental Engineering)
- 3Deutsch, Clayton V. (Civil and Environmental Engineering)
- 2Deutsch, Clayton (Mining Engineering)
- 2Jeff Boisvert (Civil and Environmental Engineering)
- 2Li, Zukui (Chemical and Materials Engineering)
- 1 Gan, Thian Yew (Department of Civil and Environmental Engineering)
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Decision Models for Operation and Maintenance of Offshore Wind Farms Considering Uncertainties
DownloadFall 2020
Wind energy is an important renewable resource to meet the continually increasing global energy demand. The high wind power potential in the sea has led to the development of wind farms in the sea, referred to as offshore wind farms (OWFs). OWFs are an array of wind turbines built in the sea to...
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Fall 2021
This thesis aims to investigate, develop and advance solution techniques for optimization under uncertainty in process control, scheduling and operations research applications. Decision rule methods offer a rich and flexible framework for solving these classes of problems. Recent literature has...
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Fall 2022
Life cycle assessment (LCA) is becoming a popular tool to quantify environmental impacts including greenhouse gas (GHG) emissions. Because of the high number of assumptions and low quality of available data, the results of LCA are often viewed with skepticism. It is common for studies to provide...
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Fall 2010
Bioclimate envelope models are widely used to project potential species habitat under changing climate. Conceptually, these models are also well suited to match natural resource management practices to new climatic realities, for example by guiding species choice in reforestation programs....
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Spring 2021
Different quantities of information are available at various stages of the development of a mining project. Consequential decisions are made given the data available at the time. Geological uncertainty due to sparse data presents economic risks. The collection of additional information reduces...
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Enhanced Geologic Modeling with Data-Driven Training Images for Improved Resources and Recoverable Reserves
DownloadFall 2015
Deterministic geologic modeling methods accurately characterize large-scale continuous features of geological phenomena, but often fail in reproducing their inherent short-scale variability. The opposite is the case with stochastic methods that lack large-scale continuity yet contain reasonable...
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Fall 2019
A numerical reservoir model is the result of studies whose main objective is to describe the dynamic behaviour of a hydrocarbon reservoir for predicting its future performance under different development and production strategies. Reservoir models are built with uncertain parameters. The...
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Spring 2020
Geostatistical modeling used to focus on the grade of the main commodity or metal being mined and sold for profit. As mining has developed, the metallurgical characteristics of the rock have become important. Geometallurgy tests are developed to understand the processing characteristics of the...
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Fall 2023
In general, less than one billionth of the volume of a deposit is sampled before production decisions. The grades and other rock properties are estimated in the unsampled volume. The success of a mine is dependent on accurate grade control. The grade control process establishes the final planned...
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Fall 2010
A challenge in petroleum geostatistics is the application of modeling algorithms such as Gaussian simulation to unstructured grids that are being used for flow simulation. Geostatistical modeling is typically applied on a fine scale regular grid and then upscaled to the unstructured grid. This...