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AI, CO2 Storage and Energy Transition

Monday, 3 October
370 D-F
Technical Session
Applications of formation evaluation and AI/ML enabled technologies in CO2 Storage and Energy Transition.
  • 0830-0855 209962
    Transient Analysis Of Sandface And Wellbore Temperature In Naturally Fractured Geothermal Reservoirs: Numerical And Analytical Approaches
    C. Wei, China University of Petroleum, Beijing; University of Calgary; S. Cheng, D. Shi, D. Liu, X. Liu, China University of Petroleum, Beijing; R. Gao, Texas A&M University; Y. Wang, H. Yu, China University of Petroleum, Beijing
  • 0855-0920 210428
    A Deep Learning Formation Image Log Classification Framework For Fracture Identification - A Study On Carbon Dioxide Injection Performance For The New Zealand Pohokura Field
    K. Katterbauer, Saudi Aramco PE&D; A. Qasim, Saudi Aramco; A. Al Shehri, Saudi Aramco PE&D; R. Zaidy, KFUPM
  • 0920-0945 209979
    Automated Rock Classification Using High-Resolution CT-Scan Images and Core Photos in a Siliciclastic Formation Used for CO2 Storage
    A. Gonzalez, Z. Heidari, The University of Texas At Austin; O. Lopez, Equinor
  • Alternate 210336
    Application Of Machine Learning For Mineralogy Prediction From Well Logs In The Bakken Petroleum System
    A. Laalam, A. Boualam, H. Ouadi, S. Djezzar, I. Mellal, O.Y. Bakelli, A. Merzoug, A. Chemmakh, A. Latrach, University of North Dakota; B. Berrehal, University of Boumerdes

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