Modern refineries are leveraging digital transformation to enhance operational efficiency and sustainability. Process optimization & automation in refineries utilize AI, IoT, and cloud-based monitoring systems to streamline refining processes. Predictive analytics and real-time data integration help reduce energy consumption, optimize production rates, and minimize emissions. Automation technologies are enhancing precision in fuel blending, reducing waste, and improving safety standards. Robotics and remote monitoring systems are also increasing reliability while lowering maintenance costs. As refineries face evolving regulatory demands and fluctuating market conditions, continuous process optimization remains essential for maintaining competitive and sustainable operations in the oil and gas sector.
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Saim Memon, Sanyou London Pvt Ltd, United Kingdom
Title : Enhancing LPG capacity at Rabigh bulk plant: A case study on flow optimization and operational efficiency
Fahad Almehmadi, Saudi Aramco, Saudi Arabia
Title : Unlocking field development through infill well success delivering 3,000 BOPD via integrated dynamic analysis and seismic reprocessing: Lima field, PHE ONWJ
Indra Sanjaya, PHE ONWJ, Indonesia
Title : Reservoir screening and feasibility assessment for underground natural gas storage in upper Assam basin
Ashutosh Ranjan, Oil India Limited, India
Title : Proportional application technologies for urea removal in aqueous waste effluents, and recommended technologies for varies industrial waste water.
Hossam Ahmed Aly Moustafa Teama, Abu Qir Fertilizers And Chemical Industries Company, Egypt
Title : Enhancing refinery operational excellence: An AI-powered approach to digital operations management
Ganesh Markad, Proclink Consulting, India