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1–3 March 2023
Bangkok, Thailand

2024 Technical Program

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040 AI Applications in Production Engineering I

Tuesday, 13 February
Room 10
Technical
  • 0900-0920 24072
    Attention-based Bi-directional Long Short-term Memory For Sequence Shale Gas Forecasting.
    M. FARGALLA, China University of Petroleum-Beijing
  • 0920-0940 24075
    Machine Learning Engine For ESP Condition Monitoring And Failure Prediction
    M. Alhashem, R. Lastra Melo, Saudi Aramco PE&D
  • 0940-1000 24084
    Prediction Of Two-Phase Flow Regimes In Vertical Pipes Using Tree-Based Ensemble Models
    H.A. Al-Sharifi, Petroleum Engineering Department, Hadhramout University, Mukalla, Yemen,; A.M. Al-khudafi, S.O. Baarimah, A.A. Al-gathe, Petroleum Engineering Department, Hadhramout University, Mukalla, Yemen
  • 1000-1020 24126
    Deep-learning Based Lstm Model For Production Data Analysis Of Hydraulically Fractured Wells
    F. Zhang, China University of Petroleum, Beijing
  • Alternate 24210
    Evaluation Of Machine Learning Techniques For ESP Diagnosis Using A Synthetic Time Series Dataset
    M. Alhashem, R. Lastra Melo, Saudi Aramco PE&D
  • Alternate 24130
    Research On Intelligent Optimization Of Intermittent Lift Systems For Low Production Wells
    R. Zhao, Research Institute of Petroleum Exploration and Development; G. Ma, Research Institute of Petroleum Exploration & Development; J. Shi, Research Inst Petr Expl & Dev; X. Zhang, Research Institute of Petroleum Exploration and Development; S. Chen, Research Institute of Petroleum Exploration & Development; G. Chen, Research Institute of Petroleum Exploration and Development; C. Wang, Research Institute of Petroleum Exploration & Development
  • Alternate 24111
    The Future Of Acid Corrosion Inhibitor Testing: A Machine Learning Solution
    S. Ureiga, Saudi Aramco SAOO; T. Green, Aramco; N. Hajri, M. Javed, Saudi Aramco SAOO
  • Alternate 24149
    "time Series Forecasting Of Petroleum Production Using Deep Lstm Recurrent Networks"
    S. Tiwari, Rajiv Gandhi Institute Of petroleum Technology
  • Alternate 24223
    Comparison Of Machine Learning Based Predictions With 3D Numerical Simulation Forecasts: A Case Study Using Volve Dataset
    B. Auffray, T. Duval, G.P. Suzanne, Beicip-Franlab; J. Kouakou, F. Patacchini, A. Fornel, IFP Energies nouvelles
  • Alternate 24095
    A Robust New Method For Optimizing Reservoir Production
    C. Chen, CNOOC Limited
  • Alternate 24102
    Deep Learning-assisted Forecasting For Petroleum Production Optimization
    B.K. Tripathi, I. Kumar, A. Singh, Indian Institute of Technology Guwahati

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