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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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Fall 2020
Multivariate techniques aim to integrate multiple variables and/or data in the same framework to improve uncertainty assessment in high resolution geostatistical models. The necessity to build models that better quantify the uncertainty with limited data that are often collected with different...
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Fall 2014
Considering nonstationary features in geostatistical modeling is important. Recent developments in nonlinear estimation provide a practical way to infuse geological realism into numerical modeling by incorporating complex spatial features. Second order nonstationarity when present must be...
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Fall 2016
Grade control establishes the final destinations for mined material (plant, stockpile, waste dump, etc.) at the time of mining. Correct decisions bring profit to a mining company while incorrect decisions bring losses. There are several potential sources of misclassification of mined material: i)...
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Integration of 4D Seismic Data in Reservoir Characterization with Facies Parameter Uncertainty
DownloadFall 2017
Reservoir exploration and production are always conducted in presence of geological uncertainty that is an inevitable result of incomplete data and heterogeneity at all scales. Modeling subsurface geology based on limited data is subject to uncertainty and its accurate assessment plays a key role...
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Fall 2014
A 90 mm diameter methanol pool fire was investigated experimentally and analytically. Aiming for well-defined experiments and understanding the physics of the involved transport processes, the liquid-side boundary conditions including the pool’s bottom temperature the wall thermal conductivity...
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Spring 2014
Open-pit mining is widely used to extract natural resources. Low cut-off grades and large operations can make open-pit mining profitable. An important challenge is to determine the optimum production schedule. Usually the goal is to maximize the net present value of the project while delivering...
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Spring 2015
Evaluating the process performance of mining and petroleum operations requires numerical geological models of many related rock properties or variables. Taken together, they provide a characterization of the geologic deposit that forms the basis for engineering design and decision making. Complex...
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Spring 2016
In this thesis we study MT from giant and subgiant donors in binary stars. We develop a MT simulation framework based on the MESA set of stellar libraries, which is suitable to study extremely high MT rates and predict the stability of MT. We find that the MT from giant donors is much more stable...
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Mineral Resource Classification and Drill Hole Optimization Using Novel Geostatistical Algorithms with a Comparison to Traditional Techniques
DownloadSpring 2015
The classification of mineral resources must follow standards that were created to regulate the public disclosure of projects assisting investors and their advisers in making investment decisions and preventing the publication of erroneous, misleading and fraudulent information. The definition of...