Skip to main content

SPE Logo 

MEOS GEO
16–18 September 2025 | Exhibition World Bahrain

SPE Logo

MEOS GEO
16–18 September 2025 | Exhibition World Bahrain

Technical Programme

Subpage Hero

Loading

024 AI and Machine Learning Applications II

Tuesday, 16 September
Room 19
Technical Session
Session Chairpersons
Najebah Alsaleh - Halliburton Saudi Arabia
Damian San Roman Alerigi - Saudi Aramco PE&D
  • 1330-1350 226977
    Geospatial Prediction Of Geochemical Properties Of Produced Water: Application Of Dual Kriging Gradient Boosting Machine Learning Method
    A. Fahimuddin, P. Birkle, W. Saeed, Saudi Aramco PE&D
  • 1350-1410 226989
    Boundary-integral Type Neural Network (binn) For Flow Problems In Reservoirs
    X. Rao, King Abdullah University of Science and Technology; X. He, Saudi Aramco PE&D EXPEC ARC; H. Kwak, Saudi Aramco PE&D; H. Hoteit, King Abdullah University of Science & Tech
  • 1410-1430 227702
    Graph Network Surrogate Models For Accelerated Closed-loop Field Management In Geological Carbon Sequestration With Life-cycle Carbon Emissions Accounting
    H. Tang, University of Pittsburgh
  • 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 227694
    Automated Fossils Identification And Segmentation Using Large Vision Models (lvms)
    G. Chirila, Saudi Aramco; M. Al-Sadah, ARAMCO Services Company; R. Alsubaie, B. Hungund, Halliburton
  • 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