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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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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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Multivariate Reservoir Property Modeling with Hierarchical Truncated Pluri-Gaussian and Projection Pursuit Multivariate Transformation Techniques
DownloadFall 2022
To characterize a petroleum reservoir and to develop a reliable static and dynamic model for assessing resources and reserves, the rock and fluid properties of the subsurface formation are modeled. In most cases, multiple reservoir properties (categorical and continuous variables) are jointly...
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Fall 2009
Natural attenuation refers to the observed reduction in contaminant concentration via natural processes as contaminants migrate from the source into environmental media. Assessment of the dimensions of contaminant plumes and prediction of their fate requires predictions of the rate of dissolution...
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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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Spring 2016
Improving the accuracy of estimates is of great importance in the mining industry. These estimates can be improved with the use of available secondary data. This includes any less trusted data source containing bias and error such as production sampling, legacy drill holes, or cheaper lower...