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Skip to Search Results- 12Uncertainty
- 6Geostatistics
- 3Mining
- 1Automatic experimental variogram calculation
- 1Automatic variogram modeling
- 1Bootstrap
- 1Alshehri, Naeem S.
- 1Batty, Matthew
- 1Cabral Pinto, Felipe A
- 1Haring, Veronica
- 1Hong, Sahyun
- 1Karpekov, Tolonbek
- 4Deutsch, Clayton (Civil and Environmental Engineering)
- 1AbouRizk, Simaan (Civil & Environmental Engineering)
- 1AbouRizk, Simaan (Civil and Environmental Engineering)
- 1Boisvert, Jeff (Mine Engineering)
- 1Cunha, Jose Carlos (Petrobras America Inc.)
- 1Deutsch, Clayton (Civil & Environmental Engineering)
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Fall 2016
Collecting information is of vital importance for the development of a mineral project. The capital costs of mining projects are high and there is significant risk due to the available data. At all stages of a project, from exploration to mine closure, decisions need to be made that are based off...
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Fall 2023
Calculating and modeling a variogram from sparsely sampled data can be complex and time-consuming due to the need for expertise in selecting the appropriate parameters and fitting functions to the experimental variogram. To assist with variogram modeling, a novel approach based on Convolutional...
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Fall 2010
Modeling spatial variables involves uncertainty. Uncertainty is affected by the degree to which a spatial variable has been sampled: decreased spacing between samples leads to decreased uncertainty. The reduction in uncertainty due to increased sampling is dependent on the properties of the...
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Fall 2010
A challenge in petroleum geostatistics is the application of modeling algorithms such as Gaussian simulation to unstructured grids that are being used for flow simulation. Geostatistical modeling is typically applied on a fine scale regular grid and then upscaled to the unstructured grid. This...
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Spring 2014
The need for specialized software, particularly for repetitive construction is growing. Although simulation has been accepted in the research world, the industry has been slow to follow. The goal of this research is the development of a special purpose template for linear scheduling that is...
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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 2010
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,...
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Spring 2010
A reliable estimate of the amount of oil or gas in a reservoir is required for development decisions. Uncertainty in reserve estimates affects resource/reserve classification, investment decisions, and development decisions. There is a need to make the best decisions with an appropriate level...
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Uncertainty in Probabilistic Open Pit Slope Stability Analyses: Implications for Reliability-Based Designs
DownloadSpring 2024
The presence of uncertainty is acknowledged in various fields of Engineering. Also, there are many sources of uncertainties. In geotechnical engineering, probabilistic slope stability analysis (PSSA) is a tool used to quantify parameter uncertainty. It achieves this by considering any strength...
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Fall 2011
Villalba Matamoros, Martha Emelly
Analysis of uncertainty in ore reserves impacts investment decisions, mine planning and sampling. Uncertainty is evaluated by geostatistical simulation and is affected by the amount of data and the modeling parameters. Incomplete uncertainty is given because the parameter uncertainty is ignored....