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AI for Sustainable Reservoir Performance and Energy Transition I

Monday, 13 April
Room 1
Technical Session
  • 1630-1700 232186
    AI-Driven Predictive Framework For Low Salinity Water Injection In Carbonate And Sandstone Reservoirs
    A. Hassnain, Y.b. Arif, NED University of Engineering & Technology; A. Misbah, China University Of Petroleum; A. Arain, Universiti Teknologi PETRONAS; S. Aun ALI, Halliburton
  • 1700-1730 232020
    AI-powered Cloud-based Integrated Electro-thermal-hydrogen Energy Management System For Energy Transition
    Y. Peng, PetroChina Shenzhen New Energy Research Institute
  • 1730-1800 232267
    Predicting Fines Migration Threshold In Sandstone Reservoir: A Machine Learning Framework For Predicting Critical Salt Concentration
    S. Belkhir, United Arab Emirates University; R. Muneer, Hamad Bin Khalifa University; Y. Alblooshi, M.R. Hashmet, United Arab Emirates University
  • Alternate 232062
    From Metrics To Insights: Towards High-precision And Explainable Query-analysis System In Oil And Gas Operations With Large Language Models
    C. Wang, Q. Wu, H. Wu-Wang, X. Ma, J. Fan, C. Yan, H. Liu, S. Liu, W. Yang, Petrochina (Beijing) Digital Intelligence Research Institute Co., Ltd
  • Alternate 231954
    AI-powered Compression: Real-time Monitoring And Simulation For Maximizing Gas Production
    D.I. Cantor Alvarez, Bapco Upstream
  • Alternate 232030
    Quantum-classical Physics-informed Neural Networks (qcpinn) For Solving Reservoir Flow Pdes
    X. Rao, Yangtze University; Y. Liu, King Abdullah University of Science and Technology
  • Alternate 231965
    Detection Of Stuck Pipe Problems During Drilling Tripping Operations Using Artifical Intelangece Approach
    G. Hamada, Arab Academy for Science, Technology & Maritime Transport