History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations
By Alexandre Anozé Emerick, Albert C. Reynolds. Computational Geosciences, 2012
210 citations recorded by the source corpus.
Subfields: Geophysics, Mechanical Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/724c5a2d10ebb4d74f3438af0448f831c876ac5f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Geophysics
- Geir Nævdal
- Xiaodong Luo
- T. Bhakta
- Alexandre Anozé Emerick
- Albert C. Reynolds
- Dean S. Oliver
- Yan Chen
In Mechanical Engineering
- Alexandre Anozé Emerick
- Geir Nævdal
- Xiaodong Luo
- T. Bhakta
- Albert C. Reynolds
- Yan Chen
- Dean S. Oliver
- Louis J. Durlofsky
In Ocean Engineering
- Alexandre Anozé Emerick
- Geir Nævdal
- Xiaodong Luo
- T. Bhakta
- Albert C. Reynolds
- Yan Chen
- Dean S. Oliver
- Louis J. Durlofsky
Citations in the corpus
- Ensemble smoother with multiple data assimilation (2013, methodology): “In this case, we start assimilating data with a large value of α, which359 reduces the magnitude of the initial updates; then, we gradually decrease α.360 Even though we focus on ES, conceptually, this procedure can also be361 applied to EnKF as described in Emerick and Reynolds (2012).”
- Correlation-Based Adaptive Localization With Applications to Ensemble-Based 4D-Seismic History Matching (2018, methodology): “In Luo et al. (2016), we proposed an ensemble-based 4D SHM framework in conjunction with a wavelet-based sparse representation procedure.”