TITLE:
Updating Geologic Models using Ensemble Kalman Filter for Water Coning Control
AUTHORS:
Cesar A. Mantilla, Sanjay Srinivasan, Quoc P. Nguyen
KEYWORDS:
Ensemble Kalman Filter, Reservoir Model Updating, Oil Production Optimization
JOURNAL NAME:
Engineering,
Vol.3 No.5,
June
2,
2011
ABSTRACT: This study investigated the feasibility of updating prior uncertain geologic models using Ensemble Kalman filter for controlling water coning problems in horizontal wells. Current downhole data acquisition technol-ogy allows continuous updating of the reservoir models and real-time control of well operations. Ensemble Kalman Filter is a model updating algorithm that permits rapid assimilation of production response for res-ervoir model updating and uncertainty assessment. The effect of the type and amount of production data on the updated geologic models was investigated first through a synthetic reservoir model, and then imple-mented on a laboratory experiment that simulated the production of a horizontal well affected by water con-ing. The worth of periodic model updating for optimized production and oil recovery is demonstrated.