PTQ Q4 2026 Issue

performance, the system provides a multi-layered defence against unplanned downtime. This case study shows how AI/ML can resolve high- stakes industrial challenges where legacy control systems and traditional alarm management systems fail to prevent catastrophic failure, transforming a costly outage into a scalable blueprint that delivers sustained, long-term pro- tection against process upsets. References 1 Choudhari, A., Gune, P., Divey, J. (2012, March 1). Distillation opti- mization by vapor recompression. Chemical Engineering online. www. chemengonline.com/distillation-optimization-by-vapor-recompression 2 Lockhart, R. W., Martinelli, R. C. (1949). Proposed correlation of data for isothermal two-phase, two-component flow in pipes. Chemical Engineering Progress , 45, 39-48. 3 Scikit learn, Python Library documentation, https://scikit-learn.org/

at integrating AI/ML and Industry 4.0 innovations into smart manu- facturing to optimise unit operations, improve reliability, and enhance operational efficiency. Balamurugan Mohan is a Senior Technologist with 18 years of expe- rience in refinery and petrochemical operations across PRUs, alkyla - tion, HPIB, MEG, ASU, and LLDPE units at RIL. Previously, he worked as a Process Engineer in EPC organisations. Mohran holds a B.Tech in chemical engineering from Anna University and an MBA in Project Management from SMU. Jesse Mallhi is Sr. VP and Head of Technology at Reliance’s Jamnagar super-site, overseeing refining, petrochemicals, and gasification complexes. With more than 34 years of experience, he specialises in process design, plant operations, and delivering major capital pro- jects from concept to commissioning. He has a proven track record of optimising asset performance, reliability, and profitability, while signifi - cantly advancing digital transformation initiatives through process dig- ital twins and AI/ML data-driven models. Mallhi holds a BS in chemical engineering from the University of Illinois at Chicago.

NC Chakrabarti is Vice President and Head of the System of Intelligence at RIL, currently driving Industry 4.0 and Industrial AI. With 30 years of manu- facturing experience across O&G, petro- chemicals, and chemicals, his expertise spans operations, technical services, pro- cess engineering, and MES. He has suc- cessfully deployed numerous real-time AI solutions across RIL sites, delivering sustainable value on the manufacturing shopfloor. Chakrabarti holds engineering degrees from Calcutta University and a postgraduate from IIT Kharagpur. Akaleshkumar Tiwari , Senior Vice President and Head, Data, Digital & Platforms at Reliance Bio Energy Ltd, drives AI and data-driven innovation for smarter and sustainable manufacturing. With more than 27 years of experience across industrial operations, analytics, and digital transformation, he drives opti- misation of energy processes and opera- tional efficiency. Tiwari holds a chemical engineering degree from Laxminarayan Institute of Technology, Nagpur. Manish Biswal is Senior Manager, System of Intelligence at RIL, combining more than a decade of petrochemical operations expertise with advanced AI/ ML capabilities. An NIT Rourkela chemi- cal engineer with a postgraduate diploma from IIIT Bangalore, Biswal deploys Industry 4.0 innovations and smart man- ufacturing solutions to optimise complex unit operations. Sougat Das is a Deputy General Manager (Systems of Intelligence) with more than 14 years of experience in refinery and petrochemical instrumentation mainte- nance at RIL. A Jadavpur University alum- nus, he specialises in DCS, ESD, PLC, and advanced control systems. Das excels

PTQ Q4 2026