KBC, a Yokogawa company, has introduced Petro SIM 7.7, a cutting-edge process simulation and digital twin platform tailored for engineers and safety specialists in the refining and petrochemical sectors. This platform merges AI/ML-enabled hybrid modeling with first-principles simulation, facilitating informed decision-making while managing digital twins across various energy systems.
The significance of Petro SIM 7.7 lies in its ability to combine engineering physics with machine learning, providing a trusted simulation environment for process engineers. Philippa Hayward, product manager for Petro-SIM, emphasized the need for accessible hybrid models to tackle complex challenges without requiring specialized data science skills.
Looking ahead, KBC aims to enhance operational decision-making and monitoring across refinery and petrochemical value chains through Petro SIM 7.7 and its associated application, KBC Acuity Process Twin Pro. No further timeline was disclosed at the time of publication.
Editor's Note
The introduction of KBC's Petro SIM 7.7 highlights the growing trend of integrating AI and machine learning into process simulation. This development is crucial for engineers facing increasingly complex challenges in refining and petrochemical industries. The emphasis on transparency and engineering rigor reflects a broader industry shift towards reliable AI applications that enhance rather than replace human expertise.
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