Opportunity Actions Benefits Implementation Status, % Recovering copper lost to final tailings from Phase I rougher cells (Sim B) Evaluate Phase I rougher cells in terms of impeller/ stator mechanism, cell design, solids suspension, air dispersion and froth launder configuration. Improve the recovery of coarse copper particles in Phase I rougher cells. ~1.3% improvement in overall Cu recovery. Implemented radial launders to all Phase I rougher cells. Currently evaluating the improvement of rotor and stator design, and increasing radial launders at rougher cells phase 2. Fully utilize available regrind capacity (Sim C) Reduce target regrind P80 from 100 µm to ~ 90 µm Liberate locked copper in cleaner feed. ~1.5% increase in overall Cu recovery. Under Review. Increase the cleanerscavenger capacity (Sim D). Operate the existing 4 unused mechanical cells in parallel to the existing cleanerscavenger bank. Improve slow floating particle recovery in cleaner-scavenger and reduce the recirculating load to Phase II roughers. ~0.4% increase in Cu recovery. Implemented but with the additional cells in series to the existing cleaner-scavenger cells. Major CAPEX Required Increase cleaner bulk circuit capacity (Sim E) Installation of alternative flotation technology such as ERIEZ StackCell, Woodgrove SFR and DFR cells and Jameson Cell. Remove fast floating copper bearing minerals earlier to reduce the load on downstream cleaner circuits. ~1.5% increase in Cu recovery. Implemented – additional DFR cells added to circuit at Phase 2. Increasing cleaner column capacity (Sim F) Add extra flotation columns to the cleaner circuit. Increase residence time in cleaner circuit. ~1.6% increase in Cu recovery. Evaluating the possibility of improving cleaner column performance by using the Eriez new cavitation system. 5. CONCLUSION The integrated Mine-to-Process optimization program implemented at Toromocho demonstrates how a structured, system-wide strategy can be effectively translated into sustained operational results. By considering the impact of feed ore characteristics and addressing interactions across mining, comminution, and flotation rather than optimizing individual unit operations in isolation, the program enabled decision making focused on overall value generation (throughput and metal recovery) within real operating constraints. Site-specific modelling and integrated comminution and flotation simulations quantified both the potential benefits and the limitations of identified improvement opportunities. The work identified opportunities to increase grinding throughput by up to ~14% across the two comminution circuits despite increased ore hardness. However, the analyses also showed that comminution driven throughput gains must be evaluated in the context of downstream flotation constraints to avoid unintended recovery penalties (in the order of ~1% at fixed concentrate grade if constraints are not addressed). The integrated approach provided the basis for a balanced optimization strategy that preserves concentrate quality while maximizing overall copper production (throughput and recovery). Consistent efforts ensured the progression from study to implementation through phased execution. Implementation of quick-win and some of the mid to longer-term initiatives, spanning drill and blast practices, operating adjustments across crushing and grinding, and flotation circuit debottlenecking and optimization, have already delivered measurable improvements in throughput, operational stability, and metallurgical performance. Additional recovery gains can be achieved through prioritized CAPEX upgrades to sustain performance at higher throughput conditions, and these are ongoing. The Toromocho case demonstrates the benefits of structured Mine-to-Process optimization underpinned by reliable data, disciplined modelling, integrated simulation assessment, crossfunctional coordination, and structured implementation. Consideration of ore characteristics and the interactions of each stage of the operation ensure improvement of the overall operation by maximizing overall production (throughput and recovery) while maintaining concentrate quality and minimizing costs.
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