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Product details:
- ISBN 10: 1119325862
- ISBN 13: 9781119325864
- Author: Céline Scheidt
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.
Table of contents:
1 The Earth Resources Challenge
2 Decision Making Under Uncertainty
3 Data Science for Uncertainty Quantification
4 Sensitivity Analysis
5 Bayesianism
6 Geological Priors and Inversion
7 Bayesian Evidential Learning
8 Quantifying Uncertainty in Subsurface Systems
9 Software and Implementation
10 Outlook
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