Updating Geologic Models using Ensemble Kalman Filter for Water Coning Control

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DOI: 10.4236/eng.2011.35063    6,012 Downloads   9,510 Views  Citations

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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.

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C. Mantilla, S. Srinivasan and Q. Nguyen, "Updating Geologic Models using Ensemble Kalman Filter for Water Coning Control," Engineering, Vol. 3 No. 5, 2011, pp. 538-548. doi: 10.4236/eng.2011.35063.

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