Quantifying Uncertainty in Subsurface Systems

Nonfiction, Science & Nature, Science, Earth Sciences, Geophysics
Cover of the book Quantifying Uncertainty in Subsurface Systems by , Wiley
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Author: ISBN: 9781119325864
Publisher: Wiley Publication: May 8, 2018
Imprint: American Geophysical Union Language: English
Author:
ISBN: 9781119325864
Publisher: Wiley
Publication: May 8, 2018
Imprint: American Geophysical Union
Language: English

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.

Read the Editors' Vox: https://eos.org/editors-vox/quantifying-uncertainty-about-earths-resources

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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.

Read the Editors' Vox: https://eos.org/editors-vox/quantifying-uncertainty-about-earths-resources

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