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Skip to Search Results- 25Deutsch, 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 2018
This thesis addresses challenges in geostatistical analyses of multivariate geochemical data that commonly contain complexities that have a significant influence on geostatistical modeling and cluster analysis. For geostatistical modeling, the effect of the most common despiking methods is...
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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 2024
Multiple data types should be used simultaneously to improve resource estimation models. The multivariate relationship between the data is required. One common approach involves using decorrelation transformation techniques to simplify complex relationships, but this method relies on having...
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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...