New book: Ensemble History Matching: Conditioning Reservoir Models on Dynamic Data
- Formulates the history-matching problem in a consistent framework.
- Presents state-of-the-art ensemble solution methods for reservoir models.
- Aims to deepen understanding of ensemble methods in history matching.
- Educational resource for graduate students and researchers in petroleum, geothermal, and hydrological engineering and sciences.
- Introduces and explains algorithms for data assimilation and parameter estimation, with emphasis on ensemble methods.
- Discusses challenges such as high-dimensional models, limited realizations, parameterization, and uncertainty handling.
