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Characterisation of alluvial gold exploration data to improve gold recovery in Ghana

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Abstract

This study uses exploration data to optimise overburden thickness, cut-off grade and stripping ratio at some alluvial gold mines in the Kibi mining district to improve gold recovery in Ghana. The specific objective is to determine sampling location, overburden thickness, gravel thickness, gravel grade and gold contents. Secondary data are from 48 mining blocks at Kwabeng mine and primary data from 20 mining blocks at Kibi goldfields. Data are analysed using basic statistics and binary plots. Gold content varies at constant total gravel section grade, as overburden thickness and gold grade vary at 0.2 m from 0 to 2.0 m and at 0.05 g/m3 from 0.10 to 0.65 g/m3, respectively. Average values of gravel thickness and gravel grade from both sites are 2.1 m and 0.57 g/m3, respectively. Percentage change in gold content only becomes positive after optimum overburden thickness and a cut-off grade of 0.90 m and 0.285 g/m3, respectively, while the stripping ratio is 0.43:1. The spatial plot of gravel grades using the Surfer Software for the Kwabeng deposit presents a unique resource block model. The optimised values can be used to review the resource block model and combining with established improved operational procedures from previous works.

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Abbreviations

TSG:

Total section grade

GSG:

Gravel section grade

OS:

Overburden section

DGS:

Diluted gravel sections

GS:

Gravel section

DF:

Dilution factor

TS:

Total section

g/m3 :

Grams per meter cube

M:

Metre

Oz:

Ounce (1 oz = 28.35 g)

R 2 :

Coefficient of determination

<:

Less than

>:

Greater than

o :

Initial quantity

I :

Variable quantity

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Acknowledgements

The authors acknowledge the staff and management of the erstwhile, Kwabeng alluvial goldmine in Ghana, for making this data available for the research.

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Correspondence to Gordon Foli.

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Responsible Editor: Murat Karakus

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Foli, G., Agyemang, K., Brako, B.A. et al. Characterisation of alluvial gold exploration data to improve gold recovery in Ghana. Arab J Geosci 13, 1105 (2020). https://doi.org/10.1007/s12517-020-06073-4

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  • DOI: https://doi.org/10.1007/s12517-020-06073-4

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