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1–3 March 2023
Bangkok, Thailand

2024 Technical Program

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114 AI and Data-Driven Applications in Oil and Gas II

Wednesday, 14 February
Room 11
Technical
  • 1100-1120 23259
    A Digital Data Assistant (ghada) - A Game Changer In The Geology And Geophysics Workflow Support
    M.K. Alomair, Saudi Aramco; I. Al-ghamdi, Saudi Aramco Exploration; P. Benyeogor, H. Asiri, D. Alferidah, Saudi Aramco
  • 1120-1140 23242
    Using Data-driven Analytics Workflow To Find Out Highly Watered-out Mechanism And Novel Solution In Horizontal Wells For Heterogeneous Carbonate Reservoir
    D. Hu, Research Inst Petr Expl & Dev
  • 1140-1200 23298
    Qualitative Data Synthesis For Improving Machine Learning In Geophysical Applications: A Case Study On Fracture Detection In Formation Logs
    J. Almulhim, King Fahd University of Petroleum and Minerals; K. Katterbauer, Saudi Aramco; A. Alshehri, Saudi Aramco PE&D; R. Al-Zaidy, King Fahd University of Petroleum and Minerals
  • 1200-1220 23334
    Clear Skies Ahead: Optimizing Operations Through Large Language Models And AI To Reduce Emissions And Costs For A Regional NOC
    M. Eldred, A. Suboyin, Digital Energy
  • Alternate 23258
    Data Quality Transformation, Best Practices And Tools
    R. Al-Jawad, Saudi Aramco Exploration; P. Benyeogor, S. Albarrak, M. Hakami, Saudi Aramco
  • Alternate 23236
    Integrated Subsurface Development & Planning (SSDP) Dashboard For Surveillance, Optimization, Cost Reduction And Streamline The Decision-making Process In Mature Field, Pertamina Hulu Rokan Zona 4
    A. Gilang, J. Dolok Saribu, A. Renditya, M. Fariz, Pertamina Hulu Rokan
  • Alternate 23320
    Leveraging Data-driven Novel Techniques For Seismic Capacity Planning
    D. Alalharith, Saudi Aramco PE&D
  • Alternate 23331
    Enablling A Safe Workplace For The Oil & Gas Industry Through Computer Vision Analytics
    A. Massoni Abinader, D. Krishna, V. Vesselinov, SLB
  • Alternate 23326
    Anomaly Detection Of Sensor Measurements During A Turbo-machine Prototype Testing - An Integrated Ml Ops, Continual Deep Learning Architecture
    G. Veneri, S. Palaniappan, V. Gori, Baker Hughes
  • Alternate 23329
    Cloud Based ML/Data Driven Well Production Forecast For Improved Reservoir Management And FDP Optimization - A Case Study From A Super Giant Reservoir In Abu Dhabi
    N. Gerges, B. Al Shamouty, ADNOC Upstream; N. Belayouni, A. Franco, I. Shaik, R. Ayoubi, AIQ; S. ramatullayev, S. Gore, M. Taha, H. Mustapha, SLB

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