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- 2Martin, Ryan
- 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)
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...
Long term mineral resources modeling is done to predict tonnage and grade of ore that may be mined and represents a key feature in the development of any mining project. The most common approach used in the mining industry is to estimate the grades using ordinary kriging and report the...
Improved numerical reservoir models are constructed when all available diverse data sources are accounted for to the maximum extent possible. Integrating various diverse data is not a simple problem because data show different precision and relevance to the primary variables being modeled,...
Geostatistical modeling takes geological data as inputs and builds statistical models for resource prediction. Geostatistics consists of several components, including preprocessing, modeling, and postprocessing. Exploratory data analysis (EDA) is an early step in preprocessing. It provides...
Multivariate Geostatistical Prediction of Geochemical Measurements for Use in Mineral Prospectivity ModelingDownload
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...
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....
Multivariate geostatistical modeling of unconventional shale gas reservoirs in the presence of sparse dataDownload
A geostatistical workflow for modeling multivariate sparsely sampled variables in shale gas reservoirs is proposed in this thesis and applied to a study area in the HRB. This workflow accounts for direct and cross spatial correlation between variables while decreases computational modeling time...
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...
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...
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...