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MEOS GEO
16–18 September 2025 | Exhibition World Bahrain

SPE Logo

MEOS GEO
16–18 September 2025 | Exhibition World Bahrain

Technical Programme

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123 Automation and Robotics in Upstream Operations II

Thursday, 18 September
Room 19
Technical Session
Session Chairpersons
Thomas Heinold - Saudi Aramco PE&D
Zeeshan Tariq - King Fahd University of Petroleum & Minerals
  • 1530-1550 227310
    An Agnostic Logging Data Correlation Approach For Automated Reservoir Navigation Applications
    S. Al-Ofi, M. Khan, A. Abdelmoaty, A. Alsultan, Baker Hughes Co. Saudi Arabia; H. Karimi, D. Holbrough, Baker Hughes
  • 1550-1610 227436
    Self-steering Rotary Steerable System Concept Proving Itself In Unconventional Markets
    E. Brovko, N. Swanson, M. Ignova, K. Mantle, H. Elsaadi, S. Oluwadare, SLB
  • 1610-1630 227195
    Design And Control Of A Subsurface Untethered Burrowing Robot (subot) For Deploying Exploration Sensors In Loose Sand Environments
    R. Alahmdi, O. Wali, M. Sait, Saudi Aramco PE&D - EXPEC ARC - KURC; P. Golikov, Saudi Aramco PE&D - EXPEC ARC - GPD
  • 1630-1650 227150
    Physics-Informed Machine Learning for Gas Rate Predictions
    A. Khan, E. Ugarte, SLB; A. Bin Ziad, Saudi Aramco SAOO
  • Alternate 227017
    Artificial Intelligence Applications For Predicting Discharge Pressure And Flowrate Of Electrical Submersible Pumps For Performance Optimization And Failure Prevention
    O.B. Osman, M.A. Eissa, A. Mohammed, University of Khartoum; A. Hassan, King Fahd University of Petroleum & Minerals
  • Alternate 227654
    Deep Learning Models For Mechanism Prediction And New Electrocatalyst Generation For Metal Air Batteries
    M.U. Zarewa, T.A. Saleh, King Fahd University of Petroleum and Minerals
  • Alternate 227344
    TRICS Downhole Internet Of Things (DIoT)
    M. Arsalan, Saudi Aramco
  • Alternate 227089
    Evaluating And Predicting Deliverability Of Natural Gas Storage Sites Using Stacking Machine Learning Models
    W. Wei, Beijing Research Center of EXPEC ARC Saudi Aramco