A Weighted Ensemble Kalman Filter for Automatic History Matching

摘要: Abstract The ensemble Kalman filter (EnKF) performs the initial sampling, forecasting, and assimilation steps for automatic history matching in petroleum industry. It tunes multiple members sequentially updates statistical mean variance of model. Many applications have been reported various publications. forecasting step is implemented by running reservoir model simulator. In equation, calculated through equally weighting all members. Therefore, contribution factor to from each member same. This paper proposes a modified equation introducing member. Both proposed weighted EnKF traditional are applied field case complex seventeen-layer reservoir. performances on production match, permeability match better than those EnKF. addition, we investigat...