Reservoir Monitoring and Continuous Model Updating Using Ensemble Kalman Filter

摘要: The use of ensemble Kalman lter techniques for continuous updating reservoir model is demonstrated. technique introduced, and thereafter applied on two 2-D models. One a synthetic with producers one injector. other simplied eld model, which generated by using horizontal layer from North Sea model. By assimilating measured production data, the continuously updated. updated models give im- proved forecasts. Both dynamic variables, as pressure sat- urations, static variables permeability are in used to update parameters near-well models, tuning eld. In this paper, has been further developed tune real simulation We present results well sim- plied measurements bottom- hole pressures, water cuts gas/oil ratios. A gives possibility comparing solution obtained true solution, performance can be evaluated. It shown how new becomes available, that good fore- casts obtained. convergence properties more available investigated. Since members indepen- dently each other, method very suitable parallel processing. also conceptually straightforward extend methodology than per- meability. Based management studies may performed single iaveragei always consistent latest measurements. Alternatively, entire estimate uncertainties