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1–3 March 2023
Bangkok, Thailand

2024 Technical Program

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124 AI and ML for Reservoir Characterisation

Wednesday, 14 February
Room 6
  • 1400-1420 23426
    Research And Application Of Rock Typing Using Deep Learning In Prediction Of Carbonate Reservoirs Of M Oilfield, Iraq
    X. GAO, L. Lu, Y. Wang, A. Wang, A. Deng, BGP
  • 1420-1440 23338
    Chasing Large-scale Hypogenic Dissolution Features Using Seismic-assisted Machine Learning: A New Perspective For The Arab Formation In Saudi Arabia
    N.F. Najjar, Saudi Aramco
  • 1440-1500 23372
    Decoding The Stratigraphic Heterogeneity Of Bengal Basin, India Using Supervised Machine Learning-a Case Study
    A. Sahu, Oil & Natural Gas Corp. Ltd.; M. Kundu, Oil and Natural Gas Corporation Ltd
  • 1500-1520 23417
    4d Geomechanics New Modelling Approach Using Machine Learning Predictions For Giant North Kuwait Jurassic Field
    M. Abdel-Basset, M. Haas, N. Al-Hamad, J. Heiland, A. Mohamad Hussein, S. Shekhar, D.N. Srivastava, J.R. Cabrera, SLB; A. Alenezi, M. Al-ajmi, Kuwait Oil Company
  • Alternate 23358
    Coupling Fluid Flow And Geomechanical Deformation Using Ai & Fem Approaches
    O. Hamid, Saudi Aramco PE&D
  • Alternate 23381
    Machine Learning-Assisted Prediction of Electrical Properties for Heterogeneous Reservoirs: Case study in Mamey Field, Northern Colombia
    R.C. Prado, Halliburton; C. Moya, Hocol S A; L. Martel, Halliburton; H. Caycedo, Hocol S A
  • Alternate 23363
    Improving Nmr-based Microporosity Predictions In Complex Carbonate Reservoirs Through Integrated Unsupervised And Supervised Machine Learning Techniques
    Z. Tariq, King Abdullah University of Science and Technology
  • Alternate 23398
    High-resolution Reservoir Models In Carbonate Reservoir Using Machine Learning Algorithms
    W. Alward, SLB

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