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Emergence of Data Science, Reduction of Carbon Footprint, and the Value of Interventions in Increasingly Constrained Drilling Market

Wednesday, 20 March
Waterway 4
Technical Session
Reducing CO emissions while increasing the financial rewards presents a significant hurdle for the oil and gas industry. To overcome this challenge, new drilling, completion, and intervention systems have been developed. Many of these solutions leverage advanced AI applications that benefit from years of industry experience and acquired data. This session will share some of the operational and experimental case studies from different regions of the world, demonstrating how these pioneering systems have solved some of the industry issues and highlight the lessons learned in the process.
Chairperson
Homero Castillo - Wireline Advisory Board
Sergio Rondon Fajardo - slb
  • 1300-1325 218369
    The Role And Benefits Of Intervention-Based Production In The Energy Transition And The Drive To Net Zero
    M. Billingham, SLB
  • 1325-1350 218290
    Cloud-Based Planning and Real-Time Algorithms Improve Coiled Tubing Cleanout Efficiency
    J. Bårdsen, B.E. Staveland Nilsen, T. Froyland, AkerBP; P. Ramondenc, J. Segura, A. Gabdullin, L. Kotlyar, S. Hassig Fonseca, SLB
  • 1350-1415 218294
    Machine learning models to predict pressure at a Coiled Tubing Nozzle's Outlet During Nitrogen Lifting
    S. Adel Thabet, A. Ayman, Khalda Petroleum Co.; M. Adel Gabry, University of Houston
  • 1415-1440 218370
    Improving Well Completion Efficiency Though The Implementation Of Jointed Pipe Injector Technology
    H. Miller, A. Richard, Automated Rig Technologies Ltd; J. Herrmann, Platinum Solutions LLC
  • 1510-1535 218368
    Complex Coiled Tubing Fishing Operation of Slickline Tools with no Kill Fluid in the Well in Danish North Sea
    K. Kaul, Halliburton Energy Services Group; A. Jari, T. Blanckaert, TotalEnergies EP Denmark A/S
  • 1535-1600 218288
    Geothermal Energy: A Novel Coiled Tubing Technology Transition
    C.A. Torres, Royal Oaks Energy Services LLC; S. Livescu, Bedrock Energy; Z. Carlisle, Carlisle Energy Group Inc; R. Whyte, J. Gatabi, K. Clark, B. Albaalbaki, S. Romyanon, Bedrock Energy
  • 1600-1625 218351
    An Artificial Intelligence Model to Synthesize Measurements While Drilling Sensors for Coiled Tubing Drilling
    C. Urdaneta, C. Jeong, A. Zheng, SLB
  • 1625-1650 218362
    Restoring Production Via Non-Rig Deployed Wireline Technology
    W.J. Diwaku, Chevron SASBU Angola; H. Sambo, Chevron Angola; J. Sonhi, Welltec Angola; A. Ahmed Saadi, Welltec; M. Wallach, Welltech Angola