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AI for Sustainable Reservoir Performance II

Tuesday, 14 April
Room 1
Technical Session
  • 1100-1130 231957
    From Concept To Reality: AI Model Implementation Driving Operational Excellence In Oil And Gas
    R. Aljarwan, M. Fiaz, Dragon Oil Holdings Ltd.
  • 1130-1200 232087
    A Dual-branch Coupled Fourier Neural Operator For High-resolution Multi-phase Flow Modeling In Porous Media
    H.W. Alhashim, O. Elyas, J.R. Williams, Massachusetts Institute of Technology
  • 1200-1230 232132
    Machine Learning-based Prediction Of Surface Equipment Requirements For Well Tie-in Operations
    A. Alyomny, B. Khan, Saudi Aramco
  • Alternate 232308
    From Reactive Alarms To Proactive Field Surveillance: A Dual-horizon Ml-bayesian System For Scaling And Flow Instability Detection
    M. Karnot, Rumaila Operating Organization
  • Alternate 231944
    Innovative Application Of Drilling Engineering Data Quality Control Based On Generative Artificial Intelligence Technology
    S. Liu, Sinopec Petroleum Exploration and Production Research Institute
  • Alternate 232282
    Pore Pressure Prediction Using Machine Learning Algorithms
    A. Abbas, University of Misan; M. Alsaba, Australian College of Kuwait
  • Alternate 232303
    AI-based Fault Diagnosis For Subsurface Rod Pumps In Ongc's Largest Onshore Field: An Alternative To Manual Card Interpretation
    K. Chanchlani, Pandit Deendayal Energy University