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Orebody complexity in geological control over selective mining

This thesis proposes a morphological complexity index for use in classifying orebodies. Formulated and tailored for application on underground steep clipping narrow base metal orebodies from Inco Limited's Manitoba Division, the complexity index was proved transferable to the base metal deposits of Inco Limited's Ontario Division. Thus it appears that the index could be applied to various styles of mineralization and orebody morphology. / The complexity classification was designed to aid in geologic control and subsequently improve mining method performance. Motivated by an industry wide move from selective mining to bulk mining, to increase productivity and improve safety. It is intended that development and application of an orebody complexity index will increase the understanding of geology and prevent the sacrifice of selectivity, minimizing dilution and ore loss. With the advent of automation, simplification in mining is necessary and thus more intelligent design and control vital. This thesis offers one means by which MDPPC (Mine Design, Planning and Production Control) could be further integrated with geological understanding to achieve such an end. / The thesis provides explanation of how such a complexity index can be used to understand mining method performance and be used for more successful mine design.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.20204
Date January 1998
CreatorsFrancis, Helen.
ContributorsScoble, Malcolm J. (advisor)
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageMaster of Engineering (Department of Mining and Metallurgical Engineering.)
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
Relationalephsysno: 001608998, proquestno: MQ44008, Theses scanned by UMI/ProQuest.

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