Reservoir Modelling

Enhancing predictive reservoir simulations through ensemble-based data assimilation for decision support

In reservoir modeling, the efforts are on development of models for reservoir simulation to be used in petroleum industry. Priority areas are comparison of models with different physics, tools for comparison of reservoir simulators and sensitivity studies.

In reservoir modeling, predictive reservoir simulations are instrumental for decision support within reservoir management and production optimization. The predictive capability of the reservoir simulator is typically improved by performing ensemble-based data assimilation.

The Data Assimilation and Optimization group at NORCE Energy has world-leading expertise on ensemble-based data assimilation and optimization for reservoir modeling. The group currently hosts two major projects, DIGIRES and 4DSEIS, supported by 10 petroleum companies and the Research Council of Norway, in addition to being actively involved in The National IOR Centre.