4.7 Article

Spatial Modeling of Geometallurgical Properties: Techniques and a Case Study

Journal

NATURAL RESOURCES RESEARCH
Volume 25, Issue 2, Pages 161-181

Publisher

SPRINGER
DOI: 10.1007/s11053-015-9276-x

Keywords

Geostatistics; Multivariate simulation; Multiple imputation; Multiscale modeling; Nonlinear variables; Unequal sampling; Parameter uncertainty; Model verification

Ask authors/readers for more resources

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

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available