Decision-Making for Earth Resource Development: Quantifying Uncertainty (Geophysical Monograph Series) - Hardcover

Hardcover

ISBN 10: 1394306768 ISBN 13: 9781394306763

Publisher: American Geophysical Union, 2026

Synopsis

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 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.

About this title

About the Author

Jef Caers, Stanford University, USA.

Céline Scheidt, Stanford University, USA.

Lewis Li, Chevron, USA.

From the Back Cover

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 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.

Edition details

• Publisher: American Geophysical Union
• Publication date: 2026
• Language: English
• ISBN 10: 1394306768
• ISBN 13: 9781394306763
• Binding: Hardcover
• Edition number: 1
• Number of pages: 384
• Editor: Caers Jef, Scheidt Céline, Li Lewis