Benchmark Study of Ensemble Kalman Filter Methodology: History Matching and Uncertainty Quantification for a Deep-Water Oil Reservoir

In this work the Ensemble Kalman Filter (EnKF) is used to history match the simulation model and to assess the remaining<br>uncertainty on production forecast for a deep-water under saturated oil reservoir. The reservoir was originally matched by the<br>company asset team using a traditional but effective trial and error process driven by engineering and geological best practices.<br>The asset team history matched model is used to benchmark EnKF results.