Variance-Preserving Ensemble Smoother with Multiple Data Assimilation for History Matching with Diagonal Observation Error Covariance
The ensemble smoother with multiple data assimilation (ESMDA) is widely used for reservoir history matching because of its parallel computational efficiency and ease of implementation. Production data in high-dimensional reservoir applications are often correlated across time, wells, and response types. When a diagon...