A. Alikan and F. Ali, “State-of-the-Art of Water Coning Modeling and Operation,” SPE 13744, Middle East Oil Technical Conference and Exhibi-tion, Barhaim, 1985. doi:10.2118/13744-MS

has been cited by the following article:

• 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.