Linking Ore Characteristics and Processing Performance in 3D
Back to Projects- Geology, Metallurgy
- Central Africa
- Confidential
- Copper
The work undertaken included the development of a 3D geometallurgical model for a copper-cobalt asset to quantify the relationship between geological ore characteristics and downstream processing performance.
Key activities and outputs included the development of a Predictive Metallurgical Model, a spatial model that forecasts throughput, recovery, and reagent consumption based on specific ore block attributes. An Investment Risk Assessment was conducted, as a data-driven technical report used to de-risk capital investment by identifying potential processing bottlenecks and ore variability.
The approach was applied within the context of Central Africa, keeping the project-specific operating and study environment central to the assessment.
The workstream was structured to maintain continuity between the available information, technical assessment, project activities and final outputs. This ensured that each component of the assignment contributed directly to the agreed objectives and required outcomes. Findings were consolidated into clear supporting documentation, giving the client a structured technical basis from which to evaluate the results, consider recommendations and determine the appropriate next steps.
