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AI-Driven Reservoir Characterisation and Geologic Modelling

Tuesday, 13 January
Technical Session Room 2
Technical Session
Session Chairpersons
Wathik Alaaraji - TGS
Jean-Marc Rodriguez - Indipendant Concultant
  • 1130-1150 25211
    Data-driven Sw Prediction and Porosity Typing from Synthetic Vp/Vs: A Feasibility Approach for Enhancing Hydrocarbon Recovery in NFRs
    L.A. Castellanos Bassoult, PEMEX; R. Alcantara Viruete, Pemex E&P; A. Velasquez, IkalOilMx
  • 1150-1210 25248
    Combining AI and EM: A Dual Approach for Dynamic Waterflood Monitoring and Geological Modeling
    R. Jaizani, Saudi Aramco; S. Komies, Saudi Aramco PE&D; K. KLEMENS, Saudi Aramco; H. Chen, Aramco Service Company
  • 1210-1230 25213
    New Exploration Discovery Aided by Automatic Facies Classification in Deepwater Mixed Volcanic-carbonate-igneous Rock, South China Sea
    L. Guan, CNOOC - Shenzhen Ltd.; B. Liu, C. Xu, S. Uluyuz, Baker Hughes
  • 1230-1250 25192
    3D Geological Modeling Using Generative AI
    D. Anikiev, A.M. Alqubalee, U.B. Waheed, King Fahd University of Petroleum & Minerals
  • Alternate 25229
    Accelerated Subsurface Characterization Powered by Science-aware Machine Learning
    K. Havelia, O. Zimina, SLB
  • Alternate 25218
    Validity of Pre-trained Deep Learning Models for New Scanning Electron Microscopy (SEM) Rock Image Samples
    S. Alhumaidan, M. Liu, T. Mukerji, Stanford University
  • Alternate 25196
    From Rock To Digital: Unveiling Unconventional Reservoir Heterogeneity Through High-resolution Core Analysis And Machine Learning
    S. Chan, National Petroleum Services Co Saudi Arabia; M. Muhammad, NESR
  • Alternate 25223
    Unveiling Subsurface Pinnacle Reefs Using Seismic Attributes And Machine Learning-based Image Segmentation Of 3D Seismic Data
    M. Khan, R. Alohali, L. Fakhurji, A. Altuwayrah, Saudi Aramco