رکورد قبلیرکورد بعدی

" Quantifying uncertainty in subsurface systems / "


Document Type : BL
Record Number : 840195
Main Entry : Scheidt, Celine
Title & Author : Quantifying uncertainty in subsurface systems /\ Céline Scheidt, Lewis Li, Jef Caers.
Publication Statement : Washington, D.C. :: American Geophysical Union ;Hoboken, NJ :: John Wiley and Sons, Inc.,, 2018.
Series Statement : Geophysical monograph ;; 236
Page. NO : 1 online resource (xi, 279 pages) :: illustrations (chiefly color), color maps
ISBN : 1119325862
: : 1119325870
: : 1119325889
: : 9781119325864
: : 9781119325871
: : 9781119325888
: 1119325838
: 9781119325833
Bibliographies/Indexes : Includes bibliographical references and index.
Abstract : 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.
Subject : Earth sciences-- Statistical methods.
Subject : Geology-- Mathematical models.
Subject : Geology-- Statistical methods.
Subject : Uncertainty.
Subject : Earth sciences-- Statistical methods.
Subject : Geology-- Mathematical models.
Subject : Geology-- Statistical methods.
Subject : SCIENCE-- Earth Sciences-- General.
Subject : SCIENCE-- Physics-- Geophysics.
Subject : Uncertainty.
Dewey Classification : ‭550.72/4‬
LC Classification : ‭QE33.2.S82‬‭S34 2018eb‬
Added Entry : Caers, Jef
: Li, Lewis
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