Forecasting Impurity Deportment

Impurities in process solutions were creating a risk of negatively impacting product quality for a copper producer. In collaboration with site personnel, WGA developed a model based on the latest operational data to demonstrate the impact of operational decisions on deportment.

The model has been further updated to include new impurity removal processes, so that the operators can understand impurity removal plant utilisation, reagent consumptions, and the impacts on the production quality for the five year forecast.

The outputs of this model are used to drive onsite decision making.

WGA collaborated with our client to take a data driven approach to addressing impurities and scaling in process solutions to improve product quality.

Working together with our integrated team of process engineers and the client site personnel experts, we provided a practical and smart solution to a complex problem.