Environment & Safety Gas Processing/LNG Maintenance & Reliability Petrochemicals Process Control Process Optimization Project Management Refining

Kaleem, J.

ADNOC Sour Gas, Abu Dhabi, UAE

Jawwad Kaleem is an energy sector professional and chemical engineer with 15 yr of experience working in the upstream (E&P) and downstream sectors (refining and fertilizers) in the areas of projects, process engineering and operations. He works as Manager, Engineering Projects, at ADNOC Sour Gas, where he is involved in ongoing and future strategic projects (e.g., optimum Shah gas expansion, the Shah 1.85-Bft3d expansion and CO2 recovery project). Kaleem has implemented various digitalization and technology initiatives in processing plants (e.g., advance process controls, open loop advisory systems using AI and machine-learning capabilities, ProActive Smart Monitoring tools), which have helped in enhancing yields, energy optimization and GHG emissions reductions.

Utilize a process simulation digital twin to optimize condensate yield

ADNOC Sour Gas: Kaleem, J.  |  Al Ali, E.  |  Allanaboyina, V.  |  Srinivas, R.
Aspen Technology: E. Gebesy  |  S. Sheikh

With the aim to maximize profit, and contribute to sustainability targets by reducing greenhouse gas emissions, ADNOC Sour Gas has optimized condensate hydrotreater operation by adjusting Reid vapor pressure, which resulted in maximizing condensate yield. This article is a case study on using a process digital twin to optimize condensate yield.

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