| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Materials Processing Fundamentals
|
| Presentation Title |
Comparative Statistical Analysis of Gold Processing Plant Recovery Data |
| Author(s) |
Martin Beyuo, Eric Agorhom, Ishmael Quaicoe, Clement Owusu |
| On-Site Speaker (Planned) |
Eric Agorhom |
| Abstract Scope |
Gold recovery is the most important performance indicator for the leaching process and has a significant impact on the overall yield and production efficiency. Most of the gold produced globally is by the Carbon-in-Pulp (CIP) and Carbon-in-Leach (CIL) technologies. Several parameters affect gold recovery in a CIL/CIP plant including to slurry flow rates, gold grade, pH, temperature, slurry density, particle size, oxygen, cyanide concentration, surface area of gold exposed, retention time, agitation and the presence of other minerals in the ore. These parameters together form a data matrix with recovery as an output variable. The interactions of these parameters would either have a synergic effect (or otherwise) on recovery. Gold recovery data from different mines are obtained for the same period for this work. This work seeks to explore the character extracted from these data matrices to create a common platform for comparison of metallurgical efficiencies between different processing plants. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Extraction and Processing, Hydrometallurgy, Modeling and Simulation |