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Comparison of 2D and 3D uncertainty quantification in geostatistical modeling in stratigraphic formations
DownloadFall 2023
Under suitable geological conditions and depending on the modeling goals at the project’s current phase, a geological modeler could justifiably choose to estimate natural resource concentrations by building geostatistical models on a 2D grid rather than a 3D grid. While the application of these...
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Spring 2016
Thunderstorms have the potential to produce severe weather and can result in significant financial and human losses. The province of Alberta is one of Canada’s most active thunderstorm regions, with the record for insured damage due to hail. Therefore, it is crucial that thunderstorm forecasts be...
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Data Driven Decisions of Stationarity for Improved Numerical Modeling in Geological Environments
DownloadSpring 2019
Generating representative models of geological domains is critical for decision making and process optimization in natural resource exploitation. Partitioning geological datasets is an important step undertaken early in geostatistical analysis to ensure that subsequent modeling stages consider...
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Data Driven Decisions of Stationarity for Improved Numerical Modeling in Geological Environments
DownloadSpring 2019
Generating representative models of geological domains is critical for decision making and process optimization in natural resource exploitation. Partitioning geological datasets is an important step undertaken early in geostatistical analysis to ensure that subsequent modeling stages consider...
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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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Enhancing space modeling and mobile resources planning in construction operations through a simulation driven visualization framework
DownloadFall 2011
Simulation modeling is a strong tool that has not been utilized to its expected potential in day to day construction industry activities. One of the reasons contributing to that is the inability of simulation models to depict changes in site space in an intuitive way. This research tries to...
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Estimation, Soft Sensing and Servo-control of Linear Distributed and Lumped Parameter Systems
DownloadFall 2021
State-of-the-art advancements in the realm of industrial process control and monitoring often require accurate descriptions of complex processes and their dynamical behaviours. Usually, many industrial processes are described by partial differential equations (PDE) or ordinary differential...
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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...