Quantifying uncertainty in subsurface systems / Céline Scheidt, Lewis Li, Jef Caers.

Format:

Book

Author/Creator:

Scheidt, Celine, author.

Li, Lewis, author.

Caers, Jef, author.

Series:

Geophysical monograph ; 236.

Geophysical monograph ; 236

Language:

English

Subjects (All):

Geology--Statistical methods.

Geology.

Geology--Mathematical models.

Earth sciences--Statistical methods.

Earth sciences.

Physical Description:

1 online resource (294 pages).

Place of Publication:

Hoboken, NJ : Wiley, 2018.

Summary:

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: eos.org/editors-vox/quantifying-uncertainty-about-earths-resources

Notes:

Description based on print version record.

ISBN:

9781119325864

1119325862

9781119325871

1119325870

9781119325888

1119325889

OCLC:

1033673326