Data assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother

This work investigates an ensemble-based workflow to simultaneously handle generic, nonlinear equality and inequality constraints in reservoir data assimilation problems. The proposed workflow is built upon a recently proposed umbrella algorithm, called the generalized iterative ensemble smoother (G...

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Veröffentlicht in:	Computational geosciences Jg. 26; H. 3; S. 571 - 594
Hauptverfasser:	Luo, Xiaodong, Cruz, William C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.06.2022 Springer Nature B.V
Schlagworte:	Algorithms Case studies Constraint modelling Cost function Data assimilation Data collection Earth and Environmental Science Earth Sciences Geotechnical Engineering & Applied Earth Sciences Hydrogeology Iterative methods Kalman filters Localization Mathematical Modeling and Industrial Mathematics Optimization Original Paper Reservoirs Soil Science & Conservation Theoretical analysis Workflow Generalized iterative ensemble smoother History matching Constarined data assimilation Nonlinear equality and inequality constraints Derivative-free optimization
ISSN:	1420-0597, 1573-1499
Online-Zugang:	Volltext
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