Operating one of the world’s most complex industrial utility infrastructures requires deep operational insight and absolute reliability. At BASF Antwerp, a massive brackish water and steam grid weaves through elevated and underground pipes to serve dozens of producers and consumers. With constantly fluctuating loads across more than 50 plants, maintaining stability is a monumental task.
Over years of incremental expansions, true visibility into the grid began to fade. Flow distribution and residence times became difficult to predict, and untreated or partially blocked pipe sections were hard to detect. While grid disturbances were easy to observe, they were incredibly difficult to explain. Adding physical sensors to bridge this knowledge gap was highly impractical and cost-prohibitive. BASF operations needed a practical way to leverage physics-based insights in real time, rather than just reacting to issues after they occurred.
To bridge the gap between engineering accuracy and operational simplicity, Orise helped BASF Antwerp design and operationalize an executable digital twin. By connecting live plant data with advanced simulation models securely, BASF unlocked a scalable framework that delivers continuous ROI.
The implementation drove significant business impact, including:
Want to know exactly how Orise bridged the gap between engineering and operations for BASF Antwerp? Uncover the complete integration framework, data infrastructure strategies, and how to scale physics-informed digitalization across your own facilities.