Quantifying Uncertainty in Subsurface Systems Hardback
Edited by Celine (Stanford University, USA) Scheidt, Lewis (Stanford University, USA) Li, Jef (Stanford University, USA) Caers
Part of the Geophysical Monograph Series series
Hardback
Description
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. Volume highlights include: A multi-disciplinary treatment of uncertainty quantificationCase studies with actual data that will appeal to methodology developersA Bayesian evidential learning framework that reduces computation and modeling time Quantifying Uncertainty in Subsurface Systems is a multidisciplinary volume that brings together five major fields: information science, decision science, geosciences, data science and computer science.
It will appeal to both students and practitioners, and be a valuable resource for geoscientists, engineers and applied mathematicians. Read the Editors' Vox: eos.org/editors-vox/quantifying-uncertainty-about-earths-resources
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:304 pages
- Publisher:John Wiley & Sons Inc
- Publication Date:27/07/2018
- Category:
- ISBN:9781119325833
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:304 pages
- Publisher:John Wiley & Sons Inc
- Publication Date:27/07/2018
- Category:
- ISBN:9781119325833
