Early History Matching of the Ivar Aasen Field

Abstract

Dynamic reservoir simulation models are used to better understand the reservoir and predict future reservoir performance. Once a field starts to produce, a continuous flow of dynamic data becomes available in terms of production data and measurements. Integrating this information through history matching is crucial in improving the reservoir understanding and the predictive power of the reservoir model. The purpose of this study is to investigate what new knowledge about the Ivar Aasen field could be gained from the reservoir s reactions to the first months of production.

Through a manual history matching the Ivar Aasen reservoir model was successfully adjusted to better represent the production data and measurements. A higher rate of depletion in the model compared in the field at two of the producers was fixed by increasing the reservoir volume and permeability in the area around them. Reducing the permeability in the aquifer counteracted the larger depletion seen at the injectors in the model.

The results from the manual history matching were partly supported by a computer assisted history matching study. The study also brought an opportunity to highlight the main differences between manual and assisted history matching. Due to the difficulties in implementing either methods in a way that is quick and easy, and gives high quality results, a sound use of both is recommended.