Agradecimentos: The authors thank UNISIM, DEP-FEM-UNICAMP and CEPETRO for supporting this work, and CGG, Schlumberger and CMG for software licenses. We also would like to extend our gratitude to Statoil (operator of the Norne Field) and its licence partners ENI and Petoro for the release of the...

Agradecimentos: The authors thank UNISIM, DEP-FEM-UNICAMP and CEPETRO for supporting this work, and CGG, Schlumberger and CMG for software licenses. We also would like to extend our gratitude to Statoil (operator of the Norne Field) and its licence partners ENI and Petoro for the release of the Norne Field data. Further, the authors acknowledge the Centre for Integrated Operations at NTNU for cooperation and coordination of the Norne cases. The view expressed in this paper are the views of the authors and do not necessarily reflect the views of Statoil and the Norne licence partners;This work was carried out in association with the ongoing project registered as ‘BG-07 Reduction of Uncertainties through the Incorporation of 4D Seismic Data in the Modeling of the Reservoir"’ (UNICAMP/BG Brazil/ANP) funded by BG E&P Brasil Ltda (Shell Brasil Petróleo Ltda Subsidiary) under the ANP R&D levy as ‘Investment Commitment to Research and Development’

The Norne Field started production in 1997 and up to 2006 the field experienced intense production activity, making the Norne benchmark case an ideal candidate to explore the challenges in interpreting complex time-lapse seismic data. Seismic amplitude changes and time-shifts are used as the first...

The Norne Field started production in 1997 and up to 2006 the field experienced intense production activity, making the Norne benchmark case an ideal candidate to explore the challenges in interpreting complex time-lapse seismic data. Seismic amplitude changes and time-shifts are used as the first level approach to interpret the time-lapse differences and to update reservoir models. A common alternative is to invert the seismic data and obtain acoustic impedance variations caused by production activity, and to evaluate their possible interpretations. For this case study, we use a 4D inversion approach to invert the base (2001) and monitor (2006) seismic surveys in order to provide field-wide insights for the Norne benchmark case. We extensively interpret the observed 4D inversion anomalies and decouple, as much as possible, the effects of fluid and pressure variations, supported by production and reservoir engineering data. Moreover, we compare the inversion results with the simulation model from the Norne benchmark case to suggest areas of future modification to the simulation model. This research is intended as a resource to improve the quality of history matching or other 4D inversion methods applied to the Norne benchmark case, and to demonstrate a detailed time-lapse seismic interpretation within the reservoir segments of the Norne Field

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