Enter Note Done
Go to previous page in this tab
Session
  • Presentation | NG33B: Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences IV Poster
  • Poster
  • Share Icon
    Bookmark Icon
  • NG33B-0442: High-resolution wind fields for operational methane monitoring at oil and gas sites by integrating physics-based simulations, field observations, and scientific machine learning
    • Schedule
    Notes
  • Board 0442‚ Hall EFG (Poster Hall)
    NOLA CC
    Set Timezone

Generic 'disconnected' Message
Author(s):
Arash Fathi, ExxonMobil Houston (First Author, Presenting Author)
Ehsan Kharazmi, Brown University
Erin Menezes, MIT
George Karniadakis, The Division of Applied Mathematics, Brown University
Anantha Sundaram, ExxonMobil Technology & Engineering Company

Scientific Discipline
Neighborhood
Type
Main Session
Discussion