A methodology for density determination from core imagery and assays

Adel Vatandoost; Peter Fullagar

doi:10.1071/ASEG2015ab068

24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery

ISSN: 2202-0586
E-ISSN:

oa A methodology for density determination from core imagery and assays
Authors Adel Vatandoost^a and Peter Fullagar^b
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^a CODES, University of Tasmania; now Fortescue Metals Group Ltd 87 Adelaide Tce, East Perth, [email protected] ^b Fullagar Geophysics Pty Ltd, 512B-409 Granville Street, Vancouver, , BC, V6C 1T2, , Canada, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2015, Issue 24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery, Dec 2015, p. 1 - 5
DOI: https://doi.org/10.1071/ASEG2015ab068
- Published online: 01 Dec 2015

Abstract

Density is an important physical parameter due to its influence on ore resource and reserve estimation. The most efficient form of density measurement is gamma-gamma logging. However, downhole density logging is rarely conducted in non-ferrous metalliferous mines. Accurate prediction of density from core images could provide an alternative means for continuous density estimation.

A Geotek Multi-Sensor Core Logging system has been used to record petrophysical properties and also core imagery on archival drill core from Ernest Henry mine, Queensland, Australia for geometallurgical studies. Mineral grades estimated from the classified core images were not sufficiently reliable for density prediction. However, the fractional volumes can be adjusted to ensure consistency with assay data.

A linear programming algorithm was developed for this purpose. Given corrected volumes and mineral densities, it was then possible to predict density continuously along the drill hole. At Ernest Henry the average relative error between image-based density and Geotek gamma-gamma density was 3.5%.

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References

Bonnici, N., Hunt, J., Walters, S., Berry, R., Kamenetsky, M., McMahon, C., and Nguyen, K., 2009, Integrating meso- and micro - textual information into mineral processing: an example from the Ernest Henry Iron-Oxide Copper-Gold deposit, Queensland, Australia, 41st Annual Meeting of the Canadian Mineral Processors, Ottawa, Ontario, Canada, pp 259-278.
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Article Type: Research Article

Keyword(s): Core Imagery; Density; Geotek Logger

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