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Title: Fast linearized forecasts for subsurface flow data assimilation with ensemble Kalman filter

Journal Article · · Computational Geosciences

Not provided.

Research Organization:
Texas A & M Univ., College Station, TX (United States). Texas A & M Engineering Experiment Station
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
FG36-08GO18194
OSTI ID:
1533332
Journal Information:
Computational Geosciences, Vol. 20, Issue 5; ISSN 1420-0597
Publisher:
Springer
Country of Publication:
United States
Language:
English

References (17)

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Methods for quantifying the uncertainty of production forecasts: a comparative study journal March 2001
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Assessing the performance of the ensemble Kalman filter for subsurface flow data integration under variogram uncertainty: PERFORMANCE OF ENKF UNDER VARIOGRAM UNCERTAINTY journal May 2011
A Probability Conditioning Method (PCM) for Nonlinear Flow Data Integration into Multipoint Statistical Facies Simulation journal January 2011
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History Matching of Three-Phase Flow Production Data journal December 2003
Improved initial sampling for the ensemble Kalman filter journal August 2008
Real-Time Reservoir Model Updating Using Ensemble Kalman Filter With Confirming Option journal December 2006