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GHG Management and Decarbonization High-Performance Developments

Friday, 23 October
Room 371 AD
Technical Session
Examine how industries are improving emissions management through MRV systems, digital tools, and predictive analytics. The session will also discuss strategic decarbonization pathways aligned with performance and sustainability goals.
Session Chairpersons
Josue Franca - Petrobras -Petroleo Brasileiro
Aditya Singh - Oxy Inc
  • 1400-1425 234038
    A Multi-method Approach For Estimating Methane Emissions From Global Liquefied Natural Gas Production
    W. Long, Aramco Americas; M. Masnadi, University of Pittsburgh
  • 1425-1450 234192
    Physics-Informed Digital Framework for Emissions Characterization and Use-Case Applications
    H. Jin, MEDENG Technologies Canada Inc; W. Liu, Medeng Technologies Inc
  • 1450-1515 233816
    Live Descaling Under Radiation Risk: A Complete Norm Management And Intervention Blueprint
    A. Khan, SLB; A. BinZiad, Aramco
  • 1515-1540 233937
    Detecting Fugitive Methane Emissions Through Process Mass Balance Via Iiot Telemetry
    M. Korjani, University of Southern California
  • 1540-1605 233907
    Transforming Oil And Gas Waste Management: Reducing Carbon Emissions Through Subsurface Slurry Injection Compared To Landfill Practices
    I. Mohamed, M. Mahmoud Shams, Advantek Waste Management Services LLC; A. Alhadi, The University of Texas At Austin
  • 1605-1630 234040
    Engineering A Sustainable Rig Workflow: Data-driven Enhancements In Well Integrity And Emission Control
    R. Kumar, ADNOC ONSHORE; A.A. Al Kurbi, ADNOC Offshore; M. Mohamed Al Hammadi, M. Alkatheeri, ADNOC Onshore
  • Alternate 233986
    Controlling Workover Operations For Subsea Wells Abandonment Utilizing Pollution Dome Deployment For High-risk Offshore Wells
    S. Alaklubi, KJO
  • Alternate 233808
    Hybrid Power Management In AC Drilling Rigs: Integrating Battery Systems And IIoT Analytics For Fuel And Emissions Optimization
    M. Rahman, J. Carrasquilla, P. Gohil, M. Djibril, A. Fernandes, Precision Drilling
  • Alternate 234039
    Machine Learning-based Prediction Of Flow (m3 S-1) At A Gauging Station: Effects Of Structural Shifts And Climate Attribution On Pollution Risks.
    B. Anifowose, Coventry University; F. Anifowose, Saudi Aramco PE&D