Fats Model Update (FMU) Implementation for the Norne Field

Fast model update (FMU) is a concept that is becoming more recognised and adopted in the oil and gas field. It is an integrated workflow which maintains consistency from structural modelling to flow simulation while history matching on some observed data. In this work, we have developed an assisted history matching workflow that enables the updates of the structural and the geological model parameters using dynamic production, pressure, and seismic data on a real North Sea field, the Norne field.

The assisted history matching framework uses an ensemble of realisations, which is also used to represent the uncertainty, to efficiently and automatically update both the structural parameters and properties in a consistent integrated workflow. The reduced uncertainty after an update can improve our knowledge of the reservoir and aid decision making in IOR strategies.

In this paper, we demonstrated that by using an ensemble iterated smoother as an history matching algorithm and a set of observations on seismic, pressure, and production data on the Norne field, one could consistently update the geological structure and parameters and improve the knowledge of the reservoir properties to achieve better prediction capabilities.