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Session 46 : AI-Powered Efficiency Improvements

Wednesday, 23 April
Room 5
Technical Sessions
Session Chairpersons
Muhammad Gibrata - Dragon Oil
Bicheng Yan - King Abdullah University of Science & Tech
  • 1100-1130 224460
    Data-driven Machine Learning Modeling Of Saudi Arabian Basalt/h2/brine Wettability Prediction: Implications For Hydrogen Geo-storage
    M. Ali, Z. Tariq, B. Yan, H. Hoteit, King Abdullah University of Science and Technology
  • 1130-1200 224464
    Data-driven Prediction Of Rheological Properties In Invert Emulsion Drilling Fluids: A Comparative Analysis Of Machine Learning Models
    S. Yanik, I.H. Gucuyener, O. Gurcay, O.M. Yagmur, GEOS Energy Inc.
  • 1200-1230 224521
    Physics-informed Graph Connected Element Model For Reservoir Connectivity Identification And Production Forecasting In Co₂-eor
    Y. Xu, Yangtze University
  • Alternate 224526
    Emergence Of Ai In Oil And Gas Industry With A Deep Focus On Drilling
    M. Amer, A. Othman, Saudi Aramco D&WO
  • Alternate 224530
    Adaptive Learning Method For Predicting Geomechanical Parameters From Heterogeneous Formation Images Based On Deep Learning
    Z. SUN, Y. Jin, X. Guo, China University of Petroleum Beijing
  • Alternate 224548
    Drilling With Ai-based Systems: To Trust, Or Not To Trust Model Forecast With Low Quality Real-time Data?
    E. Gurina, K. Antipova, N. Klyuchnikov, D. Koroteev, LLC Digital Petroleum
  • Alternate 224535
    Enhancing Pump Longevity And Fault Detection In Oil Reservoirs With Deep Learning And Dynamometer Insights
    A.A. Ramadan, Apache Egypt JV(KPC)