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Poduction Surveillance

Tuesday, 21 October
Room 332AD
Technical Session
Production surveillance in the oil and gas industry involves continuous monitoring and management of production operations to ensure optimal performance and efficiency. This includes using advanced technologies to collect, analyze, and interpret data from wells, pipelines, and production facilities. The main goals are to maximize hydrocarbon recovery, minimize operational risks, and ensure environmental compliance. The Production Surveillance session at ATCE will cover the latest advancements in monitoring and managing production operations. Topics include optimizing production of mature assets, applying Drag Reducer Agents on multiphase fluids, AI-enhanced leak size estimation for offshore pipelines, precise leak detection techniques, innovative low-cost sensing technologies for downhole monitoring, enhancing production profiles with fiber-optic and logging data, real-time gas lift optimization, and using distributed acoustic sensing to detect structural damage in pipelines. Join us to learn from industry experts about best practices and innovative solutions that enhance production operations.
Session Chairpersons
Luis Quintero - Halliburton
Sudeepto Banerjee - TotalEnergies
  • 1400-1425 228071
    Ai-enhanced Leak Size Estimation For Offshore Pipelines: Early Detection And Environmental Protection
    A. Sajedian, S. Mohaghegh, West Virginia University; S. Adiyodi Kenoth, M. DASHTBAYAZ, Dragon Oil Limited
  • 1425-1450 228220
    Techniques For Precise Leak Detection In Tubing-casing And Casing-to-casing Annular Pressure Systems: A Multi-modal Approach With Procedure Enhancement
    A. Aly, M.A. Khalaf, M. Mohamed Al Hammadi, S. Alkasar, S. Alkaabi, ADNOC Onshore
  • 1450-1515 228080
    Innovative Low-cost Intelligent Sensing Technologies For Downhole Temperature-pressure Monitoring And Their Applications In Safe And Efficient Gas Well Operations
    M. Chen, CNPC Research Institute of Exploration and Development; C. Luo, Southwest Petroleum University; G. Cao, CNPC Research Institute of Exploration and Development; L. YAN, Chengdu University of Technology; N. Li, H. Wang, CNPC Research Institute of Exploration and Development
  • 1545-1610 228171
    Enhancing Production Profiles Using Distributed Fiber-optic And Production Logging Data: A Case Study Of A Fractured Three-phase Well
    Y. Mao, C. Godefroy, A. Gysen, Interpretive Software Products
  • 1610-1635 228151
    Multiphase Metering For Real-time Gas Lift Optimization And Slugging Mitigation In The Delaware
    S. Scott, ConocoPhillips Co; C. Hemann, ConocoPhillips; L. Husoschi, SLB; K. Zhang, Schlumberger; A. Soedarmo, Schlumberger Information Solutions
  • 1635-1700 227972
    Using Distributed Acoustic Sensing To Detect Structural Damage In Gas Pipelines
    M. Benabid, P. Baumgartner, G. Jin, Y. Fan, A. Tura, J. Miskimins, Colorado School of Mines
  • Alternate 227929
    Field-proven Bidirectional Electromagnetic Telemetry In Cased Wells: Enabling Real-time Downhole Monitoring And Control
    Q. Chen, RIPED PetroChina
  • Alternate 228225
    Electric-line-conveyed Smart Shifting Tools Provide Efficient, Effective, And Sustainable Solution To Enhance Well Productivity
    H. Sharma, Saudi Aramco SAOO; M. Alkadem, Saudi Aramco; F. Al-Subaie, Saudi Aramco SAOO; Z. Zaouali, SLB
  • Alternate 227979
    A Deep Learning Model For Leakage Identification In Multiphase Flow Systems
    H. Ferroudji, College of Science and Engineering, Hamad Bin Khalifa University; W. Al-Ammari, Qatar University; A. Barooah, Texas A&M University; I.G. Hassan, Texas A&M University at Qtar; A. Sleiti, Qatar University; S.R. Gomari, Teesside University; M.A. Rahman, College of Science and Engineering, Hamad Bin Khalifa University

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