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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/12248

Title: Modified acid–base accounting model validation and pH buffer trend characterisation in mine drainage at the AngloGold Ashanti Obuasi mine in Ghana, West Africa
Authors: Foli, Gordon
Gawu, Simon K. Y.
Keywords: Model modification
Secondary minerals
Decommissioned tailing dam
Acidification
Neutralisation
Issue Date: 11-Oct-2017
Publisher: Springer-Verlag GmbH Germany
Citation: Springer-Verlag GmbH Germany 2017, Environ Earth Sci (2017) 76:663
Abstract: Acid–base accounting (ABA) is a static test used to evaluate pre-mining drainage quality of ores with interpretations based on a reference 3-data point model. The method is often complemented with a kinetic test to ensure certainty of results. The challenges associated with both methods compel companies to rely on only the ABA test, thereby compromising on the long-term drainage quality. This paper validates a proposed 4-data point model that was used to establish a 20% increase in the alkaline amendment of ores at the AngloGold Ashanti Obuasi Mine in Ghana. The validation was done using model limits, the robustness of coefficient of determination and model factor sequence variation. Acidification trends and mineralogical data evaluation of tailings were used to characterise pH buffer trends in mine drainage. The modified 4-data point model, which incorporates a vital kinetic test factor into the ABA model, provides a criterion for the adjustment of carbonate amendment value to improve acid neutralisation in the drainage; this would reduce (1) cost of experimentation, (2) turnaround time for analyses, (3) complexities associated with both test methods. From the XRD data, alunite and goethite are present in tailings to provide sustained pH buffering in drainage beyond the scope of the modified model, while the characterised pH buffer trend could be used for monitoring drainage quality.
Description: An article published by Springer-Verlag GmbH Germany, and also available on DOI 10.1007/s12665-017-7005-y
URI: http://hdl.handle.net/123456789/12248
Appears in Collections:College of Engineering

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