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- 1Acorn, Tyler
- 1Barnett, Ryan M.
- 1Black, Warren E
- 1Boisvert, Jeff
- 1Cabral Pinto, Felipe
- 43Graduate Studies and Research, Faculty of
- 43Graduate Studies and Research, Faculty of/Theses and Dissertations
- 1Helmholtz-Alberta Initiative
- 1Helmholtz-Alberta Initiative/Journal Articles & Research Abstracts (Helmholtz-Alberta Initiative)
- 1Geotechnical and Geoenvironmental Engineering Program
- 1Geotechnical and Geoenvironmental Engineering Program/Journal Articles (Geotechnical & Geoenvironmental Engineering)
- 11Deutsch, 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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Fall 2010
After the scientific problem of interest is defined, collecting data is the first stage of any statistical analyses. The question of how large the sample should be is thus of great interest. In this thesis we demonstrate that in a geostatistical experiment determining the minimum sample size to...
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Accounting for non-stationarity via hyper-dimensional translation of the domain in geostatistical modeling
DownloadFall 2009
Medium and short term mine planning require models of mineral deposits that account for internal geological structures that permit scheduling of mine production at a weekly and monthly production periods. Modified kriging estimation techniques are used for accounting for such geologic structures....
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Fall 2016
Collecting information is of vital importance for the development of a mineral project. The capital costs of mining projects are high and there is significant risk due to the available data. At all stages of a project, from exploration to mine closure, decisions need to be made that are based off...
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Advances in Kriging-Based Modelling Approaches of Winter Weather Vehicular Collisions – A Region-Wide Geostatistical Investigation
DownloadFall 2021
The winter season is known for brisk cold weather and beautiful snowfalls, but it is also known for deteriorated driving conditions to where the risk of collisions becomes a major issue that plagues many municipalities around the world. As such, agencies are tasked with and strive to prioritize...
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An overview of soil heterogeneity: quantification and implications on geotechnical field problems
Download2003
Elkateb, T., Chalaturnyk, R., Robertson, P. K.
Abstract: Engineering judgment and reliance on factors of safety have been the conventional tools for dealing with soil heterogeneity in geotechnical practice. This paper presents a review of recent advances in treating soil variability. It presents the implications of geostatistical techniques...
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Analyzing Scaling Characteristics of Transport Properties Using Particle-Tracking Based Techniques
DownloadFall 2017
Appropriate scale-up provides a critical link between fine-scale heterogeneity descriptions and coarse-scale models used for transport modeling, which is essential for planning and management of subsurface reservoirs. A significant challenge in subsurface flow and transport modeling is to develop...
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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...