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Skip to Search Results- 51Graduate and Postdoctoral Studies (GPS), Faculty of
- 51Graduate and Postdoctoral Studies (GPS), 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)
- 15Deutsch, 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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Multivariate geostatistical modeling of unconventional shale gas reservoirs in the presence of sparse data
DownloadFall 2018
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...
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Multivariate Geostatistical Prediction of Geochemical Measurements for Use in Mineral Prospectivity Modeling
DownloadFall 2016
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...
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Spring 2016
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....
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Spring 2022
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...
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Fall 2017
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...
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Spring 2015
Resource evaluation of a mineral deposit is an important and challenging task. Traditional estimation methods provide a best estimate at the block scale based on available data. The pitfalls of histogram smoothing and conditional bias associated with these methods are well known. Quantifying...
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Fall 2009
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...
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Fall 2017
Growth of the human population within the next half century is projected to reach a staggering quantity. Maintaining our food security for future generations without causing further environmental degradation in an ever dynamic landscape is a complex challenge, which may be partially remedied...
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Soil Quality Dynamics and Spatial Heterogeneity in Grasslands and Cropping Systems in Western Canada
DownloadSpring 2017
Managing the land properly should lead us to conserve the soil which is a critical substance for sustaining our life and the global society. Quantifying the effects of land management and land-use conversion on soil physical and biological properties can aid to identify best management practices...
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Spring 2015
Evaluating the resource contained in a precious metals deposit is a challenging task because they are often characterized by heavily-skewed grade distributions and outlier values. Traditional geostatistical modelling methods are difficult to apply in the presence of outlier values because they...