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- 2Martin, Ryan
- 1Acorn, Tyler
- 1Barnett, Ryan M.
- 1Black, Warren E
- 1Boisvert, Jeff
- 1Cabral Pinto, Felipe A
Subsurface geological characterization requires solving a classification problem to obtain a model of facies that is later populated with continuous properties. The classification problem, which consists of assigning a single category to any unsampled location based on observed data, is analyzed...
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...
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...
Soil Quality Dynamics and Spatial Heterogeneity in Grasslands and Cropping Systems in Western CanadaDownload
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...
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...
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...
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...
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 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...
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,...