Persistent Link:
http://hdl.handle.net/10150/276417
Title:
APPLICATION OF GEOSTATISTICS TO AN OPERATING IRON ORE MINE
Author:
Nogueira Neto, Joao Antunes, 1952-
Issue Date:
1987
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The competition in the world market for iron ore has increased lately. Therefore, an improved method of estimating the ore quality in small working areas has become an attractive cost-cutting strategy in short-term mine plans. Estimated grades of different working areas of a mine form the basis of any short-term mine plan. The generally sparse exploration data obtained during the development phase is not enough to accurately estimate the grades of small working areas. Therefore, additional sample information is often required in any operating mine. The findings of this case study show that better utilization of all available exploration information at this mine would improve estimation of small working areas even without additional face samples. Through the use of kriging variance, this study also determined the optimum face sampling grid, whose spacing turned out to be approximately 100 meters as compared to 50 meters in use today. (Abstract shortened with permission of author.)
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Iron mines and mining -- Statistical methods.; Ores -- Sampling and estimation.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Mining and Geological Engineering
Degree Grantor:
University of Arizona

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleAPPLICATION OF GEOSTATISTICS TO AN OPERATING IRON ORE MINEen_US
dc.creatorNogueira Neto, Joao Antunes, 1952-en_US
dc.contributor.authorNogueira Neto, Joao Antunes, 1952-en_US
dc.date.issued1987en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe competition in the world market for iron ore has increased lately. Therefore, an improved method of estimating the ore quality in small working areas has become an attractive cost-cutting strategy in short-term mine plans. Estimated grades of different working areas of a mine form the basis of any short-term mine plan. The generally sparse exploration data obtained during the development phase is not enough to accurately estimate the grades of small working areas. Therefore, additional sample information is often required in any operating mine. The findings of this case study show that better utilization of all available exploration information at this mine would improve estimation of small working areas even without additional face samples. Through the use of kriging variance, this study also determined the optimum face sampling grid, whose spacing turned out to be approximately 100 meters as compared to 50 meters in use today. (Abstract shortened with permission of author.)en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectIron mines and mining -- Statistical methods.en_US
dc.subjectOres -- Sampling and estimation.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineMining and Geological Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.identifier.proquest1330528en_US
dc.identifier.oclc17513627en_US
dc.identifier.bibrecord.b16318584en_US
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