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Schedule of Events 2026

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AI for Predictive Integrity and Autonomous Detection II

Wednesday, 15 April
Room 1
Technical Session
  • 1100-1130 232155
    Digital Transformation In Drilling: 25-35% Efficiency Gains Through Automated Reporting, Analytics, And Scheduling
    S. Rashidi Aghdam, D. Ignatov, ADAGA Solutions LTD
  • 1130-1200 232058
    Explainable Machine Learning For Esp-based Oil Production Forecasting
    M. Jumaa, A. Abdulraheem, S. Alajmei, King Fahd University of Petroleum & Minerals
  • 1200-1230 231971
    Enhancing ESP Uptime: Hybrid Approach Integrating Deep Learning, Expert Knowledge, And Physics-based Modeling For Failure Prediction
    L. Peng, CNPC R&D (DIFC) Company Limited
  • Alternate 232192
    Innovation On Integrating Beggs-brill Method With Ai For Wellbore Multiphase Flow
    X. Rao, X. Ouyang, H. zhao, Yangtze University
  • Alternate 232266
    Physics-simulated Zero-shot Artificial Intelligence Model For Esp Failure Prediction
    T. Zharkynbek, S. Caicedo, C. Hernandez Labrador, U. Asif, L. ZHANG, W. Almadhoun, ADNOC AIQ; K. Alsaeedi, M. Alqaydi, M. AL RADHI, A. Abdelkerim, ADNOC Offshore; J. Padron, M. Alkhatheeri, ADNOC Al Dhafra Petroleum
  • Alternate 232028
    Automating Formation Testing Operations Using Machine Learning And Edge Computing
    A. Kumar, M. Sarili, F. Ahmed, M. Butler, SLB
  • Alternate 231983
    AI-driven Optimization Of Rate Of Penetration For Hybrid Drill Bits Using Real-time Drilling Data
    A. Youssef, King Fahd University of Petroleum & Minerals
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