This article introduces a novel digital service that brings data-driven optimisation to chemical plants. Navigance uses a cloud-based platform combining machine learning, hybrid plant modelling, and deep process expertise to continuously improve process performance — without burdening internal teams. Unlike traditional, resource-intensive optimisation efforts or purely rule-based systems, Navigance leverages real-time and historical plant data to deliver prescriptive recommendations, helping operators increase efficiency, reliability, and output.

The article highlights how Navigance supports methanol and syngas producers in unlocking hidden potential, even in complex, nonlinear systems. Its approach integrates AI with domain knowledge to overcome the limitations of conventional control systems. Through a guided deployment, feasibility study, and ongoing expert support, Navigance builds hybrid models tailored to each plant’s unique process. These models adapt dynamically to changing conditions like catalyst aging or load variations.

The result: producers receive actionable recommendations via a user-friendly dashboard that connects directly to plant control systems. The operators stay in control, making informed decisions faster and with greater confidence. Navigance's solution is compatible with all technologies and catalyst types and is especially beneficial for plants seeking digital transformation with minimal internal disruption.

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