Characterization of three-dimensional channel reservoirs using ensemble Kalman filter assisted by principal component analysis
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Title
Characterization of three-dimensional channel reservoirs using ensemble Kalman filter assisted by principal component analysis
Authors
Keywords
Channel reservoir characterization, Model selection scheme, Egg model, Principal component analysis (PCA), Ensemble Kalman filter (EnKF), History matching
Journal
Petroleum Science
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-09-06
DOI
10.1007/s12182-019-00362-8
References
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- (2016) Yingchao Huang et al. COMPUTATIONAL GEOSCIENCES
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- (2016) Hai X. Vo et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Use of Clustered Covariance and Selective Measurement Data in Ensemble Smoother for Three-Dimensional Reservoir Characterization
- (2016) Kyungbook Lee et al. JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
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- (2015) Hai X. Vo et al. COMPUTATIONAL GEOSCIENCES
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- (2015) J. Lim et al. Energy Sources Part A-Recovery Utilization and Environmental Effects
- Initial Sampling of Ensemble for Steam-Assisted-Gravity-Drainage-Reservoir History Matching
- (2015) Rajan G. Patel et al. JOURNAL OF CANADIAN PETROLEUM TECHNOLOGY
- A New Differentiable Parameterization Based on Principal Component Analysis for the Low-Dimensional Representation of Complex Geological Models
- (2014) Hai X. Vo et al. Mathematical Geosciences
- The egg model - a geological ensemble for reservoir simulation
- (2014) J. D. Jansen et al. Geoscience Data Journal
- Characterization of Channelized Reservoir Using Ensemble Kalman Filter with Clustered Covariance
- (2013) Kyungbook Lee et al. ENERGY EXPLORATION & EXPLOITATION
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- Uncertainty Quantification in Reservoir Performance Using Distances and Kernel Methods--Application to a West Africa Deepwater Turbidite Reservoir
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- Cross-covariances and localization for EnKF in multiphase flow data assimilation
- (2009) Yan Chen et al. COMPUTATIONAL GEOSCIENCES
- Estimating Channelized-Reservoir Permeabilities With the Ensemble Kalman Filter: The Importance of Ensemble Design
- (2009) Behnam Jafarpour et al. SPE JOURNAL
- Streamline-Assisted Ensemble Kalman Filter for Rapid and Continuous Reservoir Model Updating
- (2009) Elkin Arroyo et al. SPE RESERVOIR EVALUATION & ENGINEERING
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- (2008) Satomi Suzuki et al. COMPUTATIONAL GEOSCIENCES
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