Quantifying uncertainty in subsurface systems

Title:

Author:

Scheidt, Celine, author.

ISBN:

9781119325871

9781119325888

9781119325864

Physical Description:

1 online resource (xi, 279 pages) : illustrations (chiefly color), color maps

Series:

Geophysical monograph series ; 236

Geophysical monograph ; 236.

Contents:

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.

Abstract:

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 produce a decision model that is functional and sustainable. This volume provides real-world examples relating to oilfields, geothermal systems, contaminated sites, and aquifer recharge.

Local Note:

John Wiley and Sons

Subject Term:

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.