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Machine Learning and AI Applications II

Wednesday, 24 June
Room 2
Technical Session
  • 0900-0920 233244
    Assessing Geological Fidelity Of Gan-generated Seismic Images For Co₂ Monitoring
    A. Said, R. Hughes, M. Tyagi, Louisiana State University
  • 0920-0940 233289
    Seismic‑Informed Machine Learning For Performance Forecasting And Strategic Infill Drilling In A Mature Carbonate Field
    H. Eyeci, Turkish Petroleum; M. Cicek, S. Canbolat, Turkish Petroleum Offshore Technology Center
  • 0940-1000 233317
    Domain‑Aware GenAI For Subsurface Knowledge Retrieval
    A. Al-Kinani, J. Peisker, D. Schmidt, OMV E&P GmbH
  • 1000-1020 233283
    Accelerating Ensemble-based History Matching Using Generative Adversarial Network And Super-resolution Models
    B. Aslam, H. Li, B. Yan, King Abdullah University of Science and Technology
  • Alternate 233189
    A Unified Digital Platform For Enhancing Well Restoration, Production Optimization, And Asset Management In Mature Fields
    A.I. Abufarwa, NESR; A.A. Alfadel, Sirte Oil Co.; W.S. Jibreel, NESR
  • Alternate 233267
    Sobol’-based Feature Space Optimization Of A Dilation-compaction Reservoir Model For Unconventional Reservoirs
    V.V. Ustun, The University of Tulsa; M. Onur, University of Tulsa
  • Alternate 233298
    Virtual Viscometer: Machine Learning Assisted Estimation Of Drilling Fluid Rheology From High-frequency Flowline Mesurements
    O.M. Yagmur, B. Kulga, Istanbul Technical University; E. Artun, Sultan Qaboos University; I.H. Gucuyener, GEOS Drilling Fluids and Waste Management
  • Alternate 233330
    Machine Learning-driven Reconstruction Of Legacy Well Logs: Application To Mature Fields In The Pannonian Basin
    C. BADIS, Halliburton