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Title: Spatial Modeling of Geometallurgical Properties: Techniques and a Case Study

Abstract

High-resolution spatial numerical models of metallurgical properties constrained by geological controls and more extensively by measured grade and geomechanical properties constitute an important part of geometallurgy. Geostatistical and other numerical techniques are adapted and developed to construct these high-resolution models accounting for all available data. Important issues that must be addressed include unequal sampling of the metallurgical properties versus grade assays, measurements at different scale, and complex nonlinear averaging of many metallurgical parameters. This paper establishes techniques to address each of these issues with the required implementation details and also demonstrates geometallurgical mineral deposit characterization for a copper–molybdenum deposit in South America. High-resolution models of grades and comminution indices are constructed, checked, and are rigorously validated. The workflow demonstrated in this case study is applicable to many other deposit types.

Authors:
 [1];  [2]; ;  [1];  [3]
  1. University of Alberta, School of Mining and Petroleum Engineering, Department of Civil and Environmental Engineering (Canada)
  2. Teck Resources Limited (Canada)
  3. University of Alberta, Department of Chemical and Materials Engineering (Canada)
Publication Date:
OSTI Identifier:
22612704
Resource Type:
Journal Article
Resource Relation:
Journal Name: Natural Resources Research (New York, N.Y.); Journal Volume: 25; Journal Issue: 2; Other Information: Copyright (c) 2016 International Association for Mathematical Geosciences; http://www.springer-ny.com; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; COPPER; GEOLOGIC DEPOSITS; METALLURGY; MINERALS; MOLYBDENUM; SAMPLING; SIMULATION; SOUTH AMERICA

Citation Formats

Deutsch, Jared L., E-mail: jdeutsch@ualberta.ca, Palmer, Kevin, Deutsch, Clayton V., Szymanski, Jozef, and Etsell, Thomas H. Spatial Modeling of Geometallurgical Properties: Techniques and a Case Study. United States: N. p., 2016. Web. doi:10.1007/S11053-015-9276-X.
Deutsch, Jared L., E-mail: jdeutsch@ualberta.ca, Palmer, Kevin, Deutsch, Clayton V., Szymanski, Jozef, & Etsell, Thomas H. Spatial Modeling of Geometallurgical Properties: Techniques and a Case Study. United States. doi:10.1007/S11053-015-9276-X.
Deutsch, Jared L., E-mail: jdeutsch@ualberta.ca, Palmer, Kevin, Deutsch, Clayton V., Szymanski, Jozef, and Etsell, Thomas H. 2016. "Spatial Modeling of Geometallurgical Properties: Techniques and a Case Study". United States. doi:10.1007/S11053-015-9276-X.
@article{osti_22612704,
title = {Spatial Modeling of Geometallurgical Properties: Techniques and a Case Study},
author = {Deutsch, Jared L., E-mail: jdeutsch@ualberta.ca and Palmer, Kevin and Deutsch, Clayton V. and Szymanski, Jozef and Etsell, Thomas H.},
abstractNote = {High-resolution spatial numerical models of metallurgical properties constrained by geological controls and more extensively by measured grade and geomechanical properties constitute an important part of geometallurgy. Geostatistical and other numerical techniques are adapted and developed to construct these high-resolution models accounting for all available data. Important issues that must be addressed include unequal sampling of the metallurgical properties versus grade assays, measurements at different scale, and complex nonlinear averaging of many metallurgical parameters. This paper establishes techniques to address each of these issues with the required implementation details and also demonstrates geometallurgical mineral deposit characterization for a copper–molybdenum deposit in South America. High-resolution models of grades and comminution indices are constructed, checked, and are rigorously validated. The workflow demonstrated in this case study is applicable to many other deposit types.},
doi = {10.1007/S11053-015-9276-X},
journal = {Natural Resources Research (New York, N.Y.)},
number = 2,
volume = 25,
place = {United States},
year = 2016,
month = 6
}
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