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Conference Programme 2026

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AI for Predictive Integrity and Autonomous Detection III

Wednesday, 15 April
Room 1
Technical Session
Session Chairpersons
Hany Gamal - Weatherford Saudi Arabia
  • 1330-1400 232289
    Agentic Workflow for Automated Systematic Literature Review: A Case Study on Generative AI Applications in the Oil and Gas Industry
    O.E. Abdelaziem, Baker Hughes; M.A. Amer, BADR Petroleum Co.
  • 1400-1430 232290
    Deploying An Integrated AI-driven Portfolio Optimization And Opportunity Maturation System To Unlock Value In A Mature Onshore Assets
    N. Reddicharla, K. Alnaqbi, ADNOC Onshore; M. Taha, Schlumberger; A. Tawheed, ADNOC Onshore; S. ramatullayev, K. Vadivel, SLB
  • Alternate 231956
    An Innovative Machine Learning (ML)-based Approach for ESP Predictive Monitoring using Anomaly Detection and Survival Models
    K. Vadivel, U. Gogoi, R. Tripathi, P. Songchitruksa, M. Gudipati, T. Lam, SLB
  • Alternate 231991
    Lost Circulation Prediction In Deep Naturally Fractured Reservoirs: Integrating Theory Models With Machine Learning Algorithms
    X. Shi, Q. Fang, China University of Petroleum (East China); X. Huang, China University of Petroleum; Y. Xu, China University of Petroleum (East China); J. Shen, Sinopec Chongqing Fuling Shale Gas Exploration and Production Corporation; S. Jiang, Key Laboratory of Tectonics and Petroleum Resources, Ministry of Education, China University of Geos; A. Ramezanzadeh, Shahrood University of Technology
  • Alternate 232124
    A Hybrid Neural Network Model For Multiphase Choke Pressure Drop Prediction In Managed Pressure Drilling
    H. Shen, China University of Petroleum (East China); B. Sun, University of Petroleum E. China; H. Li, D. Lu, J. Lu, China University of Petroleum (East China)
  • Alternate 232064
    Hybrid Physics-AI Framework For Modelling Nanofluid-Enhanced Shale Stability In High-Pressure Environments
    A.H. Hassnain, Y.b. Arif, NED University of Engineering & Technology; A. Misbah, China University Of Petroleum
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