Process Control & Optimization

Models process behavior, mass and energy balances, and operating scenarios to support design and decisions. Simulation helps evaluate flowsheets, size equipment, identify sensitivities, predict performance, and reduce technical risk before implementation.

Improves throughput, recovery, quality, energy use, reliability, and cost across operating facilities. Data analysis, testing, control improvements, and targeted modifications help increase value without compromising safety or product requirements.

Identifies and resolves process constraints that limit plant throughput, recovery, quality, or reliability. The work combines operating data, mass balances, equipment assessment, and testing to prioritize practical capacity improvements.

Uses predictive models and automated controls to stabilize operations and optimize process performance. Coordinated control strategies reduce variability, maintain operating constraints, and improve throughput, recovery, energy efficiency, and quality.

Tracks material flows, grades, and recoveries to reconcile production and measure plant performance. Reliable accounting supports operational control, inventory management, performance evaluation, financial reporting, and continuous improvement.