Tuning simulation models in Molycop Tools: Improving predictive accuracy and confidence

Topics covered

• The role of simulation in modern comminution optimisation.
• Model calibration and tuning within the Molycop Tools environment.
• Data quality, consistency and relevance for effective model tuning.
• Validation techniques using operational and historical plant data.
• Interpreting model confidence, limitations and uncertainty.
• Using tuned models for scenario analysis and what‑if studies.

Synopsis

In this Molycop Insights webinar, Rodrigo Muranda, Global Leader – Mineral Processing Modelling at Molycop, demonstrates how to tune simulation models within the Molycop Tools environment to improve predictive accuracy and build confidence in model outputs.

Simulation models are powerful decision-support tools, but their value depends on how closely they reflect real plant behaviour. This session focuses on practical, real-world approaches to calibrating model inputs, aligning simulations with operational realities and validating predictive performance using plant data.

What you’ll learn

• Why simulator tuning is critical to model credibility and confident decision-making.
• The key inputs, assumptions and parameters that most influence model predictions.
• How to align simulation outputs with real operating data and plant constraints.
• Practical techniques for validating predictive accuracy using historical and live data.
• Common pitfalls in model calibration—and how to avoid them.
• How tuned and validated models support better operational, planning and optimisation outcomes.

Presenters