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38 Machine Learning for Production Optimization

Tuesday, 4 October
370 D-F
Technical Session
Applications of machine learning in production optimization.
Session Chairperson(s)
Satomi Suzuki - ExxonMobil Upstream Research Co.
Jalal Jalali - Advanced Resources International, Inc.
  • 1400-1425 210408
    Intelligent Application Of Computer Vision And Data Analytics To Optimize The Separators Cleaning For Unconventional Reservoirs
    J.R. Parizek, Chevron North America; A.S. Popa, Chevron Corporation; S. Tam, Chevron North America
  • 1425-1450 210277
    An Optimum Well Control Using Reinforcement Learning And Policy Transfer; Application To Production Optimization And Slugging Minimization
    J. Poort, J. van der Waa, T. Mannucci, P. Shoeibi Omrani, TNO
  • 1450-1515 210475
    Leveraging Machine Learning And Interactive Voice Interface For Automated Production Monitoring And Diagnostic
    A.P. Singh, A. Shukla, S. Purwar, Amazon Web Services
  • 1545-1610 210235
    Flowing Bottomhole Pressure Prediction With Machine Learning Algorithms For Horizontal Wells
    S. Baki, S. Dursun, Saudi Aramco
  • 1610-1635 210495
    Bayesian Networks Applied To ESP Performance Monitoring And Forecasting
    S. Dussi, R. Octaviano, P. Shoeibi Omrani, TNO
  • 1635-1700 210061
    Accelerating Pipeline Corrosion Modeling Via Bayesian Active Learning
    S. Zhang, Massachusetts Institute of Technology; L. Lu, H. Yang, K. Tsai, Shell Intl E&P, Inc.; M. Sidahmed, Shell Global Solutions International BV
  • Alternate 210220
    Creating An Auto-encoder Based Predictive Maintenance Tool For Offshore Annulus Wells
    A. Jain, A. Morgenthal, M. Aman, M. Horton, S. Khan, SparkCognition