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AI for Predictive Integrity and Autonomous Detection III

Wednesday, 15 April
Room 1
Technical Session
  • 1330-1400 232289
    Agentic Workflow For Automated Review Of Generative AI Applications In The Oil And Gas Industry
    O.E. Abdelaziem, Heriot-Watt University
  • 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
  • 1430-1500 232151
    Leveraging Vision Transformer-based Frameworks For Drill Bit Failure Detection
    O. Elyas, Massachusetts Institute of Technology; H. Alhashim, Saudi Aramco PE&D; J. Williams, Massachusetts Institute of Technology
  • 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); T. Tang, Sinopec Southwest Oil & Gas Company; A. Ramezanzadeh, Shahrood University of Technology
  • Alternate 231956
    An Innovative Machine Learning (ml)-based Approach For Esp Predictive Monitoring Using Anomaly Detection And Survival Models
    U. Gogoi, K. Vadivel, SLB
  • 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