Combining physics-based understanding and artificial intelligence to improve throughput and recovery
Program Overview
Amira P1354 represents the next major step in the evolution and offers sponsors a unique opportunity to shape the next generation of mineral processing by building on the proven legacy of the P9 series to deliver research outlining enhanced expert models that directly improve plant optimisation, efficiency, and decision-making.
Building on over six decades of international collaboration and modelling innovation, this project combines mechanistic process understanding with AI/ML and real-time data integration to deliver the next generation of intelligent, adaptive mineral processing systems.
The project will develop platform-neutral, AI-ready expert models that can be continuously recalibrated using plant data, enabling data-informed decision-making, real-time optimisation, predictive maintenance, and paving the way toward autonomous plant control.
Participation in Amira P1354 offers strategic value for the sponsors:
- Higher throughput and recovery through data-driven optimisation.
- Reduced variability and energy intensity via adaptive, AI-enabled control.
- Improved capital efficiency by maximising existing plant capacity.
- Future-ready capability to support the transition toward autonomous operations.
By bridging deep mechanistic expertise with digital intelligence, P1354 will redefine how mineral processing circuits are designed, calibrated, and optimised—turning data into a continuous source of value and competitive advantage.
Benefits
- The project is intended to produce the following value potentials, which will be achieved through deliverables presented within different tasks and work packages.
- Increased Throughput & Recovery: Improved process models enable finer control and optimisation, potentially increasing metal recovery by 1–3%, translating to millions in additional revenue annually.
- Capital Efficiency: Enhanced process understanding may delay or avoid the need for capital expansion by maximising existing plant capacity and identifying debottlenecking options.
- Improved Project Evaluation: More accurate models help derisk feasibility studies and expansions, improving investment decisions and financing outcomes.
- Next-Generation Process Models: Access to validated, cutting-edge models that combine mechanistic and AI/ML techniques for key unit operations (e.g., crushing, grinding, flotation, classification).
- Cross-Process Integration: Development of integrated process chains reveals system-level optimisations that are missed with siloed approaches.
- Knowledge Transfer & Upskilling: Exposure to advanced digital tools and research strengthens internal technical capabilities and talent retention.
- Data Utilisation: Better leverage of existing plant data for value creation — moving from monitoring to actionable insights and autonomous decision support.
Register Your Interest
Amira invites industry participants to pledge support for P1354 and contribute to defining the final scope of work.
For further information or to discuss participation, please contact:
Redeemina Comfort Bonnah
Email: redeemina.bonnah@amira.global
