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Session 5 : AI in Energy Operations

Monday, 21 April
Room 5
Technical Sessions
Session Chairpersons
Wael Fares - Halliburton
Nael Salaheldin - Dragon Oil
  • 1130-1200 224573
    Requirements And Governance Of Artificial Intelligence In Oil & Gas Projects
    W. El Ghandour, Saudi Aramco; B. Foura, Aramco
  • 1200-1230 224531
    AI-driven Smart Proxy Model For Optimizing Offshore Pipeline Flow Behavior And Early Leakage Detection
    A. Sajedian, S. Mohaghegh, West Virginia University; S. Adiyodi Kenoth, M. DASHTBAYAZ, Dragon Oil Limited
  • 1230-0100 224572
    Efficient Well Output Predictions In 3d Reservoir Models: Application Of Transfer Learning With Physics-aware Neural Networks
    G. Kompantsev, E. Gildin, Texas A&M University; H.S. Rabbani, Hamad Bin Khalifa University
  • Alternate 224540
    A Machine Learning Predictive Model For The Charging Capacity Of Stationary Lithium-ion Batteries Connected To Renewable Energy Sources At Remote Oil And Gas Fields
    R. Bou Shakra, T. Fong, George Washington University
  • Alternate 224567
    Enhancing Micro-nanoscale Pore Structure Reconstruction In Microfluidic Experiments Using Flow-constrained Super-resolution Algorithms
    Y. Cui, China University of Petroleum, Beijing; J. Li, China University of Petroleum Beijing; M. Zhang, China University of Petroleum, Beijing; C. Zhang, China University of Petroleum Beijing
  • Alternate 224500
    Breaking Down Silos: LLM/API Driven Experience Management Tool For Well Construction
    A. Galimkhanov, Halliburton; A. Metawie, Halliburton Services Ltd.; N. Tran, FPT Software Ho Chi Minh
  • Alternate 224553
    AI-Powered Solution For The Early Prediction Of Foaming Events In Amine Treatment Units
    M. Alshahrani, F. Al Alobaidi, M. Jaber, Saudi Aramco