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

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 morePopper-Bayes protocol for formulating and solving uncertainty quantification problemsMachine learning approaches for Bayesian inversionDecision-making with AI and high-performance computingInvestigation models usi