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AI Advancement in Well Construction

Tuesday, 13 January
Technical Session Room 2
Technical Session
  • 1600-1620 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
  • 1620-1640 25201
    Reviving Legacy Data: Harnessing Stratigraphic Frameworks And Artificial Intelligence For Seismic Asset Revaluation
    N. DAYNAC, Eliis
  • 1640-1700 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
  • 1700-1720 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, Baker Hughes
  • Alternate 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 25233
    Ai-driven Carbonate Reservoir Detection Using Neural Network Seismic Inversion: A 3d Formation Evaluation Approach In The East Java Basin
    F. Marianto, A. Sadat, SAKA ENERGY
  • 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

The IPTC Excellence Awards celebrate excellence and achievements in major technological, humanitarian, safety, environmental, and leadership contributions to the industry.