Automated Gold Grain Counting. Part 1: Why Counts Matter!

The quantitative and qualitative assessment of gold grains from samples of glacial till is a well-established method for exploring gold deposits hidden under glaciated cover. This method, which is widely used in the industry and has resulted in numerous successes in locating gold deposits in glaciat...

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Main Authors: Réjean Girard, Jonathan Tremblay, Alexandre Néron, Hugues Longuépée
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Minerals
Subjects:
Online Access:https://www.mdpi.com/2075-163X/11/4/337
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author Réjean Girard
Jonathan Tremblay
Alexandre Néron
Hugues Longuépée
author_facet Réjean Girard
Jonathan Tremblay
Alexandre Néron
Hugues Longuépée
author_sort Réjean Girard
collection DOAJ
description The quantitative and qualitative assessment of gold grains from samples of glacial till is a well-established method for exploring gold deposits hidden under glaciated cover. This method, which is widely used in the industry and has resulted in numerous successes in locating gold deposits in glaciated terrain, is still based on artisanal gravity separation techniques and visual identification. However, being artisanal, it is limited by inconsistent recoveries and difficulties associated with visually identifying the predominantly small gold grains. These limitations hinder its capacity to decipher subtle or complex signals. To improve detection limits through the recovery of small gold grains, a new approach has recently been introduced into the industry, which is commercially referred to as the “ARTGold” procedure. This procedure involves the use of an optimized miniature sluice box coupled with an automated scanning electron microscopy routine. The capabilities of this improved method were highlighted in this study by comparing till surveys conducted around the Borden gold deposit (Ontario, Canada) using the conventional and improved methods at both local and regional scales. Relative to that with the conventional approach, the improved method increased the recovery of gold grains from samples (regional and down-ice mineralization) by almost one order of magnitude. (regional and down-ice mineralization), dominantly in regard of the small size fractions. Increasing the counts in low-abundance regional samples allows for a better discrimination between background signals and significant dispersions. The described method offers an alternative for improving the characterization of gold dispersal in glaciated terrain and related gold deposit footprints.
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spelling doaj.art-70480514944e4b3d872b3a126c12fdf32023-11-21T11:54:48ZengMDPI AGMinerals2075-163X2021-03-0111433710.3390/min11040337Automated Gold Grain Counting. Part 1: Why Counts Matter!Réjean Girard0Jonathan Tremblay1Alexandre Néron2Hugues Longuépée3IOS Services Géoscientifiques Inc., Chicoutimi, QC G7J 3Y2, CanadaIOS Services Géoscientifiques Inc., Chicoutimi, QC G7J 3Y2, CanadaIOS Services Géoscientifiques Inc., Chicoutimi, QC G7J 3Y2, CanadaIOS Services Géoscientifiques Inc., Chicoutimi, QC G7J 3Y2, CanadaThe quantitative and qualitative assessment of gold grains from samples of glacial till is a well-established method for exploring gold deposits hidden under glaciated cover. This method, which is widely used in the industry and has resulted in numerous successes in locating gold deposits in glaciated terrain, is still based on artisanal gravity separation techniques and visual identification. However, being artisanal, it is limited by inconsistent recoveries and difficulties associated with visually identifying the predominantly small gold grains. These limitations hinder its capacity to decipher subtle or complex signals. To improve detection limits through the recovery of small gold grains, a new approach has recently been introduced into the industry, which is commercially referred to as the “ARTGold” procedure. This procedure involves the use of an optimized miniature sluice box coupled with an automated scanning electron microscopy routine. The capabilities of this improved method were highlighted in this study by comparing till surveys conducted around the Borden gold deposit (Ontario, Canada) using the conventional and improved methods at both local and regional scales. Relative to that with the conventional approach, the improved method increased the recovery of gold grains from samples (regional and down-ice mineralization) by almost one order of magnitude. (regional and down-ice mineralization), dominantly in regard of the small size fractions. Increasing the counts in low-abundance regional samples allows for a better discrimination between background signals and significant dispersions. The described method offers an alternative for improving the characterization of gold dispersal in glaciated terrain and related gold deposit footprints.https://www.mdpi.com/2075-163X/11/4/337goldtillgold grain recoverygold grain sizeautomated SEMgold exploration
spellingShingle Réjean Girard
Jonathan Tremblay
Alexandre Néron
Hugues Longuépée
Automated Gold Grain Counting. Part 1: Why Counts Matter!
Minerals
gold
till
gold grain recovery
gold grain size
automated SEM
gold exploration
title Automated Gold Grain Counting. Part 1: Why Counts Matter!
title_full Automated Gold Grain Counting. Part 1: Why Counts Matter!
title_fullStr Automated Gold Grain Counting. Part 1: Why Counts Matter!
title_full_unstemmed Automated Gold Grain Counting. Part 1: Why Counts Matter!
title_short Automated Gold Grain Counting. Part 1: Why Counts Matter!
title_sort automated gold grain counting part 1 why counts matter
topic gold
till
gold grain recovery
gold grain size
automated SEM
gold exploration
url https://www.mdpi.com/2075-163X/11/4/337
work_keys_str_mv AT rejeangirard automatedgoldgraincountingpart1whycountsmatter
AT jonathantremblay automatedgoldgraincountingpart1whycountsmatter
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AT hugueslonguepee automatedgoldgraincountingpart1whycountsmatter