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Machine Learning for Subsurface Applications

Monday, 3 October
362 D-F
Technical Session
Advances in deep learning, natural language processing, image processing for reservoir characterization.
  • 0830-0855 210461
    Multiscale Carbonate Rock Reconstruction Using AHybrid WGAN-GP And Super-Resolution
    Z. Zhang, Y. Li, King Abdullah University of Science and Technology; M.M. Alsinan, Saudi Aramco PE&D; X. He, King Abdullah University of Science and Technology; H.T. Kwak, Saudi Aramco PE&D; H. Hoteit, King Abdullah University of Science & Tech
  • 0855-0920 210133
    Geological Neural Network Methodology For Automatic History Match; Real Case For Rubiales Field
    R. Rodriguez Torrado, OriGen AI Inc; A. Pumar-Jimenez, P. Ruiz-Mataran, M. Sarabian, J. Togelius, OriGen AI, Inc; L. Toro Agudelo, A. Rueda Lizarazo, E. Gallardo, A. Naranjo, S. Arango, J. Villasmil, Ecopetrol SA
  • 0920-0945 209961
    Application Of Natural Language Techniques In Reservoir Management Framework
    S. Vimercati, E. Vignati, P. Mariotti, S. Severino, L. Raimondi, Eni SpA; C. Onzaca, Eni S.p.A

Prepare for an Unforgettable Opening Session!

Through an insightful discussion, we aim to provide a comprehensive understanding of the past, present, and future of innovation within the Oil & Gas industry, inspiring a new era of energy professionals committed to shaping a resilient and sustainable energy landscape.

Moderator: Elena Melchert | Podcast Host and Consultant | Oil and Gas Global Network