Data assimilation for nonlinear problems by ensemble Kalman filter with reparameterization
By Yan Chen, Dean S. Oliver, Dongxiao Zhang. 2009
72 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/9fd585efd4250229150299d53c85ca116e72b218
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Yan Chen
- Louis J. Durlofsky
- Wenyue Sun
- Dean S. Oliver
- Dongxiao Zhang
- Albert C. Reynolds
- Alexandre Anozé Emerick
- Jeffrey L. Anderson
In Environmental Engineering
- Louis J. Durlofsky
- Dean S. Oliver
- Yan Chen
- Wenyue Sun
- Dongxiao Zhang
- Wolfgang Nowak
- Liangping Li
- Haiyan Zhou
In Ocean Engineering
- Dean S. Oliver
- Louis J. Durlofsky
- Yan Chen
- Wenyue Sun
- Dongxiao Zhang
- Albert C. Reynolds
- Alexandre Anozé Emerick
- Jan Dirk Jansen
Citations in the corpus
- Efficient Ensemble-Based Closed-Loop Production Optimization (2009, background): “Specifically, it has been shown to be suitable for history matching problem with possible modifications (Nævdal et al., 2005; Gu and Oliver, 2005; Liu and Oliver, 2005; Haugen et al., 2006; Chen et al., 2007; Li and Reynolds, 2007; Gu and Oliver, 2007).”
- A New Data-Space Inversion Procedure for Efficient Uncertainty Quantification in Subsurface Flow Problems (2017, methodology): “This idea of transforming non-Gaussian variables to approximately Gaussian variables has been applied by Gu and Oliver (2006) and Chen et al. (2009) to improve the performance of EnKF procedures.”