Decision-Making for Earth Resource Development
Quantifying Uncertainty
2026
Sybex Inc.,U.S. (Verlag)
978-1-394-30676-3 (ISBN)
Sybex Inc.,U.S. (Verlag)
978-1-394-30676-3 (ISBN)
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A reproducible approach to uncertainty quantification validated on real-world Earth resource decision problems
Earth’s subsurface offers many vital resources—such as minerals, geothermal energy, and clean water—but decisions regarding exploration and extraction must balance resource value against environmental impact. This can only be addressed by accepting uncertainty as an integral part of most decisions.
Decision-Making for Earth Resource Development: Quantifying Uncertainty presents uncertainty quantification strategies tested on real cases using a Bayesian methodology that can be applied to a wide variety of decision problems.
Volume highlights include:
Six substantial case studies, covering mineral exploration, geothermal heat feasibility, groundwater management, and more
Popper-Bayes protocol for formulating and solving uncertainty quantification problems
Machine learning approaches for Bayesian inversion
Decision-making with AI and high-performance computing
Investigation models using global sensitivity analysis in the geosciences
Software development for large-scale practical implementation
The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Earth’s subsurface offers many vital resources—such as minerals, geothermal energy, and clean water—but decisions regarding exploration and extraction must balance resource value against environmental impact. This can only be addressed by accepting uncertainty as an integral part of most decisions.
Decision-Making for Earth Resource Development: Quantifying Uncertainty presents uncertainty quantification strategies tested on real cases using a Bayesian methodology that can be applied to a wide variety of decision problems.
Volume highlights include:
Six substantial case studies, covering mineral exploration, geothermal heat feasibility, groundwater management, and more
Popper-Bayes protocol for formulating and solving uncertainty quantification problems
Machine learning approaches for Bayesian inversion
Decision-making with AI and high-performance computing
Investigation models using global sensitivity analysis in the geosciences
Software development for large-scale practical implementation
The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
Jef Caers, Stanford University, USA Céline Scheidt, Stanford University, USA Lewis Li, Chevron, USA
| Erscheint lt. Verlag | 27.7.2026 |
|---|---|
| Reihe/Serie | Geophysical Monograph Series |
| Verlagsort | New York |
| Sprache | englisch |
| Themenwelt | Naturwissenschaften ► Geowissenschaften ► Geologie |
| ISBN-10 | 1-394-30676-8 / 1394306768 |
| ISBN-13 | 978-1-394-30676-3 / 9781394306763 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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