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09 Innovation and Digital Transformation: Next-Generation Digital Technologies for Intelligent Drilling, Completions, and Production

Monday, 18 May
Meeting Room 9
Technical Session
Session Chairpersons
Alireza Kazemi - Sultan Qaboos University
Rachid Aitali - Baker Hughes
  • 1600-1620 232489
    AdvancingDrilling Performance through Automation: A Comparative Study on 6.125 InchSections in North Oman
    H. Al Kiyumi, Halliburton Oman
  • 1620-1640 232401
    First Arabian-made Drilling And Well Control Simulator RDS-100
    M.Y. Elfaramawy, WELL EXPERTS
  • 1640-1700 232484
    Digital Innovation In Oilfield Operations: Optimizing Rod Pump Reliability with Edge Computing and Machine Learning
    Z. Hyder, M. Yermekova, C. Kemp, A. Gambaretto, S. Srivastava, A. Dhavale, M. Nethi, S. Dasani, SLB
  • Alternate 232476
    Data-driven Evaluation Of Waterflood Performance Using Unsupervised Machine Learning: A Field Case Study From Oman
    A. Al-Naamani, O. Al-Faraji, Z. AlAzri, E. Artun, Sultan Qaboos University
  • Alternate 232483
    AI-powered Early Warning System For Effective Stuck Pipe Prevention In Drilling Operations
    V. Daneshkhah, Dana Energy; J. Farashiani, Aria Barzan Industries; A. ASADI ESKANDAR, S. Nabavi, A. Naderi, POGC
  • Alternate 232391
    Machine Learning Based Frac Hit Pattern Classification In Shale Gas Wells: An Adaptive Ensemble Approach
    P. Shu, Y. Li, K. Ye, C. Qian, L. Yang, CCDC Shale Gas Exploration and Development Department; Y. Chen, L. Du, Chengdu University of Technology
  • Alternate 232371
    A Machine Learning Approach for Hydraulic Fracturing Performance Prediction: A Case Study from S1 Field, Thailand
    C. Beokhaimook, C. Boonnog, PTT E&P PLC