Automated Gold Grain Counting. Part 1: Why Counts Matter!
| Autor: | Jonathan Tremblay, Réjean Girard, Hugues Longuépée, Alexandre Néron |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
lcsh:Mineralogy
lcsh:QE351-399.2 automated SEM gold grain size Mineralogy Geology Improved method Terrain Gold deposit Visual identification 010501 environmental sciences gold 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology 01 natural sciences atmospheric_science gold exploration drift prospecting Glacial till till Size fractions gold grain recovery 0105 earth and related environmental sciences Gravity separation |
| Zdroj: | Minerals Volume 11 Issue 4 Minerals, Vol 11, Iss 337, p 337 (2021) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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