Probabilistic Domaining of Aluminum Areas in Iron Deposits
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Date
2018
Authors
Battalgazy, Nurassyl
Madani, Nasser
Journal Title
Journal ISSN
Volume Title
Publisher
25th World Mining Congress 2018. Proceedings. Geological Exploration.
Abstract
Geostatistical modeling of Iron grade (Fe) in metalliferous deposits is a rationale stage in further analysis of mine design such as mine planning and mineral processing plant optimization. This procedure is becoming important in the case when Fe is controlled by a co-variable that impacts negatively or positively the mechanical characteristics of the steel production. For instance, AL2O3 in most of the iron deposits in a certain level of concentration is helpful to increase the mechanical properties of the steel and in some other level plays as a gangue material which leads to prolonging the mineral processing procedure. Therefore, its 3D modeling is as significant as spatial modeling of Iron, in which it can give the idea of spatial distribution for aluminous areas in a mineral deposit. Geostatistical simulation is a powerful tool that able the practitioners to come up with the uncertainty quantification and consequently the probabilistic description of those areas. ...
Description
Keywords
Iron deposits, Aluminum, geostatistical modeling, co-simulation, Turning Band simulation
Citation
Nurassyl Battalgazy and Nasser Madani (2018) Probabilistic Domaining of Aluminum Areas in Iron Deposits. 25th World Mining Congress 2018. Proceedings. Geological Exploration: 17-26