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Technical Session 20: Digital and Data - AI and Machine Learning II

Thursday, 29 February
Room 403-404, Level 4
Technical Session
Guodong David Zhan - Saudi Aramco PE&D
Siti Najmi Farhan Zulkipli - PETRONAS
  • 0920-0940 34782
    Delving Into Artificial Intelligence World: Pioneering Machine Learning Platforms To Predict Reservoir Properties
    J. Mohd Shah, N. Mohamad Zulkifli, H. Harris Lee, PETRONAS Carigali Sdn. Bhd.; M. B M Fadhil, PETRONAS
  • 0940-1000 34819
    Optimisation Of Well Location For Water Gas Alternating Flooding In Deepwater Carbonate Reservoirs Based On Artificial Intelligence
    Z. Yang, Research Institute of Petroleum Exploration & Development, Beijing
  • 1000-1020 34872
    Application Of Machine Learning In Predicting Cement Properties
    A. Shamsan, Halliburton Australia; w.c. jimenez, Halliburton; S. Jandhyala, Halliburton Energy Services Group
  • Alternate 34887
    Improving Nmr-based Microporosity Predictions In Complex Carbonate Reservoirs Through Integrated Unsupervised And Supervised Machine Learning Techniques
    Z. Tariq, B. Yan, King Abdullah U. of Science and Technology; M. Mahmoud, King Fahd U. of Petroleum and Minerals
  • Alternate 34844
    Physics Informed Neural Network Model For Downhole Gauge Record Prediction In Deep Water Gas Field
    H. Zheng, B. Lin, J. Jiang, China U. of Petroleum, Beijing
  • Alternate 34862
    New Generation Nuclear Magnetic Resonance T1-T2 Logging And T2-D Mapping Derived Formation Evaluation In Jurassic Condensate Reservoirs Of China
    Y. Wang, SLB
  • Alternate 34778
    Automated Machine Learning To Predict Lithology Based On Seismic Data
    K. Qaedi, S.M. Barker, A. Simanjuntak, JX Nippon Oil & Gas Exploration (Malaysia)