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 quantification
•Case studies with actual data that will appeal tomethodology developers
•A Bayesian evidential learning framework that reduces computation and modeling timeQuantifying Uncertainty in Subsurface Systemsis a multidisciplinary volume that brings togetherfive major fields: information science,decision science,geosciences,data scienceand computer science. It will appeal toboth students and practitioners, andbea valuable resource forgeoscientists, engineers and applied mathematicians.