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MEOS GEO
16–18 September 2025 | Exhibition World Bahrain

SPE Logo

MEOS GEO
16–18 September 2025 | Exhibition World Bahrain

Technical Programme

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024 AI and Machine Learning Applications II

Tuesday, 16 September
Room 19
Technical Session
Session Chairpersons
Damian San Roman Alerigi - Saudi Aramco PE&D
Najebah Alsaleh - Halliburton Saudi Arabia
  • 1330-1350 226977
    Geospatial Prediction of Geochemical Properties of Produced Water Samples: Application of Dual Kriging Gradient Boosting Method
    A. Fahimuddin, P. Birkle, W. Saeed, Saudi Aramco PE&D
  • 1350-1410 226989
    Boundary-integral Type Neural Network (BINN) For Flow Problems in Homogeneous Reservoirs
    Y. Liu, King Abdullah University of Science and Technology; X. Rao, Yangtze University; X. He, Saudi Aramco PE&D EXPEC ARC; Q. Fu, King Abdullah University of Science and Technology; H. Hoteit, King Abdullah University of Science & Tech
  • 1430-1450 226884
    Machine Learning Approach For Modeling Surface Tension Between H2-CH4 Gas Mixture And Brine: Implication For Underground Hydrogen Storage In Partially Depleted Gas Reservoirs
    M. Sofian, A. Abdulraheem, T. Al Shafloot, King Fahd University of Petroleum & Minerals
  • Alternate 227123
    Advances In Scaling And Architecture Of 3d Foundation Models For Seismic Data
    T.A. Sansal, B.G. Lasscock, A. Valenciano, J. Brittan, M.T. Raafat, TGS
  • Alternate 227088
    Unsupervised Machine Learning Workflow For Identifying Micro-resistivity Borehole Image Features
    G. Keretchashvili, T. Lei, L. Liang, P. Schlicht, A. Donald, SLB
  • Alternate 227065
    AI-Enabled Unconfined Compressive Strength (UCS) Real-time Prediction Utilizing Logging-while-drilling Measurements
    O. Alfozan, M. Ismail, Saudi Aramco; T. Alshaikhmubarak, Saudi Aramco PE&D