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Skip to Search Results- 16Deutsch, Clayton (Civil and Environmental Engineering)
- 3Deutsch, Clayton V. (Civil and Environmental Engineering)
- 2Deutsch, Clayton (Mining Engineering)
- 2Jeff Boisvert (Civil and Environmental Engineering)
- 2Jing, Yindi (Electrical and Computer Engineering)
- 2Stevan Dubljevic (Department of Chemical and Materials Engineering)
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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 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 2012
Experimentally-validated nonlinear flight control of a helicopter UAV has two necessary conditions: an estimate of the vehicle’s states from noisy multirate output measurements, and a nonlinear dynamics model with minimum complexity, physically controllable inputs and experimentally identified...
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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 2020
Column flotation, as a selective separation process based on differences in surface properties, is used for a broad range of applications in the mineral processing industry, including metallic, non-metallic, and coal ores, as well as wastewater treatment over the last fifty years. Flotation is a...
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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 2014
This thesis focuses on the power allocation during the channel training process for three cooperative relay networks: a one-way single-relay network, a one-way multi-relay network and a two-way single-relay network. For these three networks, under the amplify-and-forward (AF) scheme, we...
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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...