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Permanent link (DOI): https://doi.org/10.7939/R3RH0V

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Uncertainty in the Global Mean for Improved Geostatistical Modeling Open Access

Descriptions

Other title
Subject/Keyword
transference of uncertainty
global mean
uncertainty
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Villalba Matamoros, Martha Emelly
Supervisor and department
Dr. Clayton V. Deutsch (Civil and Environmental Engineering)
Examining committee member and department
Dr. Peng Zhang (Math and Statistical Sciences)
Dr. Jeffery B. Boisvert (Civil and Environmental Engineering)
Department
Department of Civil and Environmental Engineering
Specialization

Date accepted
2011-05-26T22:05:19Z
Graduation date
2011-11
Degree
Master of Science
Degree level
Master's
Abstract
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. Also, greater spatial continuity leads to more uncertainty. This increase is unreasonable in earth science. To address these problems, two approaches are proposed. The first approach is based on multiGaussian simulation where many realizations are performed at translated and/or rotated configurations and conditioned to the data. Variable configurations give different mean values that define uncertainty. The second approach is based on a stochastic trend; this approach randomizes the trend coefficients accounting for the fitted coefficients correlation. Variable set of coefficients provide different mean values. Furthermore, a methodology to account for parameter uncertainty is proposed. The uncertainty in the mean is transferred through simulation to deliver a more complete uncertainty.
Language
English
DOI
doi:10.7939/R3RH0V
Rights
License granted by Martha Emelly Villalba Matamoros (villalba@ualberta.ca) on 2011-05-26T20:21:08Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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