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Skip to Search Results- 23Deutsch, Clayton (Civil and Environmental Engineering)
- 1Biggar, Kevin (Civil and Environmental Engineering)
- 1Boisvert, Jeff (Civil and Environmental Engineering)
- 1Boisvert, Jeffery (Civil and Environmental Engineering)
- 1Cunha, Jose Carlos (Petrobras America Inc.)
- 1Mendoza, Carl (Earth and Atmospheric Sciences)
- 1Alshehri, Naeem S.
- 1Amihere, Norris
- 1Black, Warren E
- 1Boisvert, Jeff
- 1Camana Calderon, Fernando Agustin
- 1Chiquini, Ana P
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Spring 2010
Many geological deposits contain nonlinear anisotropic features such as veins, channels, folds or local changes in orientation; numerical property modeling must account for these features to be reliable and predictive. This work incorporates locally varying anisotropy into inverse distance...
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Fall 2013
The McMurray Formation contains complex geological features that were partially formed in a fluvial-estuarine depositional environment. These geological features that are interrelated to each other exist with different shapes, patterns, and sizes. The inclined heterolithic strata (IHS) formed as...
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Spring 2022
Camana Calderon, Fernando Agustin
Drilling is the primary source of geological information in the form of rock samples for geological logging and chemical assays. There are data from multiple drilling types in an open-pit mining operation, with unique technical features, costs, volume support, and sampling error and bias. The...
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Improved Probabilistic Representation of Facies through Developments in Geostatistical Practice
DownloadFall 2015
Reservoir management requires high resolution numerical geologic models of facies and petrophysical properties. Facies are arguably the most important reservoir heterogeneity. Many geostatistical facies modeling techniques have been proposed during the years of heavily practiced geostatistics in...
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Spring 2016
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...
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Fall 2021
Multiple-indicator kriging (MIK) manages outlier values through the indicator transform, it generates the distribution of uncertainty non-parametrically through direct estimation of the indicator-probability thresholds, and it readily incorporates secondary, categorical data into the estimate....
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Spring 2022
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...
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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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Multivariate Reservoir Property Modeling with Hierarchical Truncated Pluri-Gaussian and Projection Pursuit Multivariate Transformation Techniques
DownloadFall 2022
To characterize a petroleum reservoir and to develop a reliable static and dynamic model for assessing resources and reserves, the rock and fluid properties of the subsurface formation are modeled. In most cases, multiple reservoir properties (categorical and continuous variables) are jointly...