Quantifying Uncertainty in Subsurface Systems PDF
By:Céline Scheidt,Lewis Li,Jef Caers
Published on 2018-04-27 by John Wiley & Sons
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 to methodology developers • A Bayesian evidential learning framework that reduces computation and modeling time Quantifying 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.
This Book was ranked at 2 by Google Books for keyword Geophysics.
Book ID of Quantifying Uncertainty in Subsurface Systems's Books is xvRYDwAAQBAJ, Book which was written byCéline Scheidt,Lewis Li,Jef Caershave ETAG "TGky5dJ/Rrw"
Book which was published by John Wiley & Sons since 2018-04-27 have ISBNs, ISBN 13 Code is 9781119325871 and ISBN 10 Code is 1119325870
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