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Knowledge Sharing ePosters

Wednesday, 18 October
ePoster Station 5
Poster
Knowledge Sharing ePosters
  • 0945-1000 214782
    An Efficient Approach For Automatic Parameter Inversion Based On Deep Reinforcement Learning
    D. Li, Z. Chen, China University of Petroleum at Beijing; K. Sepehrnoori, The University of Texas At Austin
  • 1000-1015 214833
    Microscale Evaluation On The Feasibility Of Foam-Assisted CO2Sequestration In The Absence And Presence Of Oleic Phase: An Integrated Microfluidic Experimental And Pore Network Modeling Study
    J. Yang, J. Zhao, Y. He, Changzhou University; F. Zeng, University of Regina; K. Yan, Texas Tech University

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.

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