A method for Ranking CO₂ Flow Models Using Seismic Modeling and Time-Lapse Data

A method for discriminating between different reservoir flow models using forward modeling and time-lapse seismic is presented. A rock-physical model is used in order to generate synthetic time-lapse acoustic responses based on flow model predictions. From the acoustic properties a pull-down caused by modifications in acousstic velocity is calculated and compared to real measurements. Full synthetic seismograms are also generated. The method has been applied to the Sleipner CO₂ sequestration project where time-lapse seismic is used to monitor the injected gas. Different vertical migration processes of the CO₂ may explain the observed time-lapse response. In this chapter, this new methodology is used in order to discriminate between these processes.