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Transforming Operations Using AI and Digitalisation 3

Thursday, 27 November
Hovsan 1 & 2
Technical Session
  • 1030-1100 230456
    Slug Flow Regime Modeling Using Machine Learning And Practical Application For Esp Well Optimization
    M. Petrushin, Independent Consultant
  • 1100-1130 230436
    Leveraging Drilling Automation To Scale-up Digital Drilling In Oil & Gas In One Of The Industry's Largest Projects
    Z. Zayed, R. Ghali, SLB
  • 1130-1200 230457
    Oilfield Automation: Advanced Process Control Featuring Integrated Pid Calibration And Data Validation
    S. Polyanskiy, E. Yudin, R. Khabibullin, O. Kobzar, V. Chernyshov, D. Usikov, A. Ryzhikov, M. Suleymanov, S. Vrazhevsky, M. Shabunin, I. Grigorev, Independent Consultant
  • Alternate 230466
    From Data Silos To Decisions: Implementing A Scalable Rag System For Unified Upstream Advisory
    N. Reddicharla, ADNOC Onshore; M. Yaslam, Abu Dhabi National Oil Company; M. Roshchin, G42 Cloud
  • Alternate 230435
    Predicting Photoelectric Logs In Challenging Conditions Using Machine Learning And Statistical Analysis
    E. Abdullah, R. AlYami, S. Elkatatny, King Fahd University of Petroleum & Minerals
  • Alternate 230461
    Physics-informed Machine Learning For Predicting Drilling Fluid Losses In Naturally Fractured Caspian Formations
    S. Hassan, A. Labak, S. Irawan, Nazarbayev University
  • Alternate 230462
    Digital Transformation Of Hydrocarbon Quality Management: A Data-driven Approach To Enhance Operational Excellence
    M. Aljeshi, Saudi Aramco; A. Al-Wosaifer, Saudi Aramco SAOO; S. Ahmed, A. Zubail, Saudi Aramco; T. Alsawad, Saudi Aramco NAOO; H. Rubehan, Saudi Aramco