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:
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Jef Caers, Stanford University, USA.
Céline Scheidt, Stanford University, USA.
Lewis Li, Chevron, USA.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. Earths subsurface offers many vital resourcessuch as minerals, geothermal energy, and clean waterbut 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 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 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781394306763
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Hardback. Etat : New. 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 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 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. N° de réf. du vendeur LU-9781394306763
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Hardcover. Etat : new. Hardcover. Earths subsurface offers many vital resourcessuch as minerals, geothermal energy, and clean waterbut 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 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 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781394306763
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