Investigation on Principal Component Analysis Parameterizations for History Matching Channelized Facies Models with Ensemble-Based Data Assimilation

Preserving plausible geological features when updating facies models is still one of the main challenges with ensemble-based history matching. This is particularly evident for fields with complex geological description (e.g., fluvial channels). There is an impressive amount of research published in...

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Veröffentlicht in:	Mathematical geosciences Jg. 49; H. 1; S. 85 - 120
1. Verfasser:	Emerick, Alexandre A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2017 Springer Nature B.V
Schlagworte:	Analysis Channels Chemistry and Earth Sciences Computer based modeling Computer Science Data assimilation Data collection Earth and Environmental Science Earth Sciences Geology Geostatistics Geotechnical Engineering & Applied Earth Sciences Hydrogeology Matching Mathematical models Model matching Parametrization Physics Principal components analysis Statistics Statistics for Engineering Ensemble smoother with multiple data assimilation Non-Gaussian priors Reservoir history matching Facies Data assimilation
ISSN:	1874-8961, 1874-8953
Online-Zugang:	Volltext
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