SĂĽeda Asil
Corporate
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KBC, a Yokogawa company, has announced Petro-SIM 7.7, a revolutionary platform for the refining, petrochemical, and chemical industries. This advanced process simulation and optimization platform takes digital twin technology to the next level for engineers and safety professionals.
đź§ Decision-Making Power with Hybrid Modeling
Petro-SIM 7.7 combines artificial intelligence (AI) and machine learning (ML)-powered hybrid modeling with fundamental principle simulation in a single platform. This integration of engineering physics and machine learning enables more informed decisions for managing digital twins and operations in traditional and next-generation energy systems.
According to Philippa Hayward, KBC Product Manager, "Industrial AI delivers the greatest value when combined with engineering physics." This platform helps process engineers solve complex problems without needing expert data science knowledge.
🛠️ Key Capabilities and Innovations
- Accessible AI/ML Integration: AI and machine learning can be easily applied to engineering workflows thanks to the embedded ML Utility Hub. Synthetic data generation, development, training, and deployment of hybrid models are all possible within the Petro-SIM environment.
- Enhanced Optimization: Complex refinery process operations are improved with an expanded optimizer library and new optimization algorithms.
- High-Fidelity Modeling: Refinery units and integrated value chains can be modeled with higher accuracy thanks to expanded reactor capabilities.
- Next-Generation Energy Support: Traditional and emerging energy technologies are supported, including bio-oil processing, electrolysis, and new decarbonization correlations. Functionality for pyrolysis and biomass gasification modeling is also provided.
đź’ˇ The Future of Digital Twins
Petro-SIM 7.7 forms the engineering foundation for process digital twins and the KBC Acuity Process Twin Pro application. According to KBC, this integration enables more accurate monitoring and operational decision-making across refinery and petrochemical value chains.
Simon Rogers, KBC Technology Director, states, "Industrial AI is valuable when engineers trust it." This trust is built through transparency, engineering rigor, and verifiable results. KBC believes that AI should augment, not replace, engineering judgment, and aims to help engineers confidently solve complex challenges by integrating intelligent technologies into its software portfolio.


















