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Investigating Light Solvent Aided Process in Cold Lake Oil-Sand Reservoir Using Experimental and Numerical Approaches
DownloadSpring 2019
Steam assisted- gravity drainage (SAGD) is the main in-situ bitumen recovery process in which saturated steam is injected into the bitumen zone. However, it has some drawbacks, which include high-energy consumption and significant environmental concerns. Solvent Aided Process (SAP) is a method...
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2007
Lerner, Craig S., Yahya, Moin A.
Introduction: According to a recent issue of Business Week, many hotshots of American industry are fleeing publicly traded corporations for \"the money, freedom and glamour of private equity.\"' Among the reasons cited for their departure is the Sarbanes-Oxley Act of 2002, which not only...
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Spring 2014
The need for specialized software, particularly for repetitive construction is growing. Although simulation has been accepted in the research world, the industry has been slow to follow. The goal of this research is the development of a special purpose template for linear scheduling that is...
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Spring 2011
While evidence-based practice and knowledge translation (or transfer) has garnered much attention, research has not focused on health information as provisional and emergent, and on knowledge translation (KT) as a process of social construction. The challenge of evolving information is magnified...
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Measured Concentrations of Metals and Polycyclic Aromatic Hydrocarbons in Plants, Berries and Soil Located in the Oil Sands Region North of Fort McMurray, Alberta
Download2014-12-22
Wilson, C., Hopkins, D., Wall, K.
The objective of this study is to measure and characterize concentrations of chemicals in plants, berries and soil predominantly located north of Fort McMurray, Alberta. Methods included opportunistic sampling via collection of root vegetables, above ground vegetables, berries and soil and...
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Spring 2022
Reinforcement learning (RL) has shown great success in solving many challenging tasks via the use of deep neural networks. Although the use of deep learning for RL brings immense representational power to the arsenal, it also causes sample inefficiency. This means that the algorithms are...
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Spring 2016
Uncertainty in resource estimation affects long-term development, planning, and investment decisions. Therefore, there is a need to make the best decisions considering all available data and different modeling approaches. This thesis develops a conceptual framework for resource modeling with...
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Fall 2020
In many regions of the world, fires are the primary environmental disturbance producing a mosaic of burned and unburned patches varying at temporal and spatial scales and providing a variety of ecosystem services. Fire perimeters mark the separation between the burned and unburned matrix of a...