Lewis Li – författare
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2 produkter
2 produkter
Del 236 - Geophysical Monograph Series
Quantifying Uncertainty in Subsurface Systems
Inbunden, Engelska, 2018
2 417 kr
Skickas inom 3-6 vardagar
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 timeQuantifying 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
Del 293 - Geophysical Monograph Series
Decision-Making for Earth Resource Development
Quantifying Uncertainty
Inbunden, Engelska, 2026
2 258 kr
Kommande
A reproducible approach to uncertainty quantification validated on real-world Earth resource decision problemsEarth’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 using global sensitivity analysis in the geosciencesSoftware development for large-scale practical implementationThe 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.