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SPE EUROPE ENERGY CONFERENCE AND EXHIBITION
10–12 June 2025 | Vienna, Austria

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Conference Programme

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Digital Transformation and AI: Digital Innovations and AI Transformations in the Energy Sector

Tuesday, 10 June
Hall G1
Technical Session
This session explores digital innovations in the energy sector. Topics include blockchain technology adoption, digital twin technology for geothermal operations, and the use of the metaverse for subsurface collaboration. We'll also discuss AI/ML-based well surveillance for Indonesia's 2032 targets, reinforcement learning for optimizing electrical submersible pumps, and accelerating CCS workflows with AI algorithms. Additionally, we'll cover generative AI's role in bridging knowledge, engineering, and digital transformation. Join us to discover these cutting-edge advancements.
Session Chairpersons
Taoufik Manai - SLB
Emre Artun - Sultan Qaboos University
  • 1520-1545 225546
    Assessing Blockchain Technology Adoption In The Oil And Energy Industry
    N. Malakooti, University of Stavanger
  • 1545-1610 225592
    Advancing Geothermal Operations With Digital Twin Technology: Proactive Monitoring And Optimization
    L. Hashemi, J. Poort, D. Palochis, TNO; R. Octaviano, TNO Geo Energy; P. Shoeibi Omrani, TNO
  • 1610-1635 225552
    Metaverse For Subsurface - Augmented & Virtual Reality Immersive Collaboration And Robust Decision Making In Oil & Gas
    S. Biniwale, SLB Middle East; M. Ahmed Elfeel, S. Khataniar, SLB
  • 1635-1700 225600
    Integrated Real-time Well Engineering: The Role Ai/ml-based Well Surveillance To Achieve Indonesia's 2032 Oil & Gas Production And Drilling Targets
    A.P. Jatmiko, H.P. Setiono, SKK Migas; F. Athallah, U. Fajarrenaningtyas, Husky-CNOOC Madura Limited; F. Sayendra, Pertamina EP; W. Rinanda, W. Lim, Halliburton
  • Alternate 225591
    Application Of Reinforcement Learning For Adaptive Frequency Optimization In Electrical Submersible Pump Systems For Performance Enhancement
    R. Abdalla, L. Krenn, A. Sidaoui, Weatherford
  • Alternate 225587
    Accelerating CCS Workflows: Lessons Learned From Adaptive Optimization And AI Algorithms
    L. Jia, Shell (SIEP-RTS); A. Chandra, Shell Information Technology International; F. Alpak, Shell International E&P Co.; J.Z. Xu, Shell Oil Co.; Y. Li, Y. Perez, J. Zhou, Stanford University; D. Dindoruk, Shell Exploration & Production Co; A. Kovscek, Stanford University
  • Alternate 225542
    Generative AI In Energy: Bridging Knowledge, Engineering, And Digital Transformation
    A. Sharma, Enverus

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