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Skip to Search Results- 23Deutsch, Clayton (Civil and Environmental Engineering)
- 3Boisvert, Jeff (Civil and Environmental Engineering)
- 1Biggar, Kevin (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.
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Addressing Order Relation Issues with Constrained Radial Basis Functions and Consistent Indicator Variograms
DownloadFall 2023
Quantifying uncertainty is a critical task of resource delineation in the mining industry. Uncertainty is used to assess risk in economic evaluation and for classification in resource reporting. The inference of local distributions from conditioning data is key to quantifying uncertainty....
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Advanced Grade Control with Multivariate Geostatistics, Blast Movement Modeling, and Optimized Dig Limits
DownloadFall 2019
Vasylchuk, Yaroslav Valentynovych
Grade control in open pit mines establishes the final destination for mined material (e.g., plant, leach pad, stockpile, waste dump, etc.). In contrast to long- and medium-term mine planning, errors at this stage of a mine operation cannot be changed in the future; correct decisions bring a...
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Fall 2018
The mining industry of today demands large-scale extraction methods, and caving has become the preferred underground mining technique because of high production rates, low mining costs, and low waste production. Moreover, there is a current growth of concerns about the effects of uncertainty...
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Fall 2009
Geostatistical techniques are used to estimate recoverable reserves at unsampled locations and to quantify uncertainty. Several variables are often measured and important for reserve evaluation. Using more variables improves the quality of modeling, but quantifying the relationships between the...
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Fall 2016
Object-based stochastic simulation models are commonly applied for generating facies or rock models with more realistic representation of complicated reservoir heterogeneity. A limitation of object-based modeling is the difficulty of conditioning to dense well data. One method to achieve...
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Constraining 3D Petroleum Reservoir Models to Petrophysical Data, Local Temperature Observations, and Gridded Seismic Attributes with the Ensemble Kalman Filter (EnKF)
DownloadSpring 2012
A methodology based on the Ensemble Kalman Filter (EnKF) is proposed for petroleum reservoir characterization, using continuous integration of petrophysical core data, reservoir temperature observations, and gridded time-lapse acoustic impedances. The localization of updating and covariance...
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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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Spring 2021
Different quantities of information are available at various stages of the development of a mining project. Consequential decisions are made given the data available at the time. Geological uncertainty due to sparse data presents economic risks. The collection of additional information reduces...
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Spring 2020
Geostatistical modeling used to focus on the grade of the main commodity or metal being mined and sold for profit. As mining has developed, the metallurgical characteristics of the rock have become important. Geometallurgy tests are developed to understand the processing characteristics of the...
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Fall 2023
In general, less than one billionth of the volume of a deposit is sampled before production decisions. The grades and other rock properties are estimated in the unsampled volume. The success of a mine is dependent on accurate grade control. The grade control process establishes the final planned...