Quantifying uncertainty in subsurface systems /

Under the Earth's surface is a rich array of geological resources, many with potential use to humankind. However, extracting and harnessing them comes with enormous uncertainties, high costs, and considerable risks. The valuation of subsurface resources involves assessing discordant factors to...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Scheidt, Celine (Autor), Li, Lewis (Autor), Caers, Jef (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Washington, D.C. : Hoboken, NJ : American Geophysical Union ; John Wiley and Sons, Inc., [2018]
Colección:Geophysical monograph ; 236.
Temas:
Geology > Statistical methods.
Geology > Mathematical models.
Earth sciences > Statistical methods.
Uncertainty.
Géologie > Méthodes statistiques.
Géologie > Modèles mathématiques.
Sciences de la terre > Méthodes statistiques.
Incertitude.
SCIENCE > Earth Sciences > General.
SCIENCE > Physics > Geophysics.
Earth sciences > Statistical methods
Geology > Mathematical models
Geology > Statistical methods
Uncertainty
Acceso en línea:Texto completo
Tabla de Contenidos:
  • The earth resources challenge / co-authored by: Troels Norvin Vilhelmsen, Kate Maher, Carla Da Silva, Thomas Hermans, Ognjen Grujic, Jihoon Park, and Guang Yang
  • Decision making under uncertainty
  • Data science for uncertainty quantification
  • Sensitivity analysis
  • Bayesianism
  • Geological priors and inversion
  • Bayesian evidential learning
  • Quantifying uncertainty in subsurface systems / co-authored by: Troels Norvin Vilhelmsen, Kate Maher, Carla Da Silva, Thomas Hermans, Ognjen Grujic, Jihoon Park, and Guang Yang
  • Software and implementation
  • Outlook.

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