Development of Updating Reservoir Simulation Models

Abstract

History matching is a process of incorporating the observed data into the reservoir simulation models. The important properties of the reservoir are submitted to a reservoir simulator and the objective of the model is to reproduce the observed data. In the past, history matching has been implemented manually by interference of the reservoir expert. This approach is a time consuming task, and many automatic history matching methodologies have been developed. The Kalman filter has gained popularity as a methodology for history matching and online updating of reservoir simulation models. The objective of this paper is to explore the potential of the Kalman filter technique in the history matching process. The filter is used to update reservoir simulation models. The simulations processes are done using a standard simulator based on finite difference. The observed data and reservoir properties are integrated using Kalman filter methodology. Some examples of reservoir simulation models will be discussed.