Collaborating to reduce uncertainty in petroleum reservoir modelling

The main idea is to integrate both highly non-linear problems in the same solution space while the uncertainty is part of the solution. We hope that the final results of this joint research will translate in more reliable petroleum reservoir models with less uncertainty from where better decisions can be taken.

Leonardo Azevedo Pereira, CERENA.

Dr Sara Focaccia and Leonardo Azevedo Pereira from CERENA at  Instituto Superior Técnico in  Lisbon are working  with  Prof Mike Christie and Dr Vasily Demyanov of  the  Uncertainty Quantification research group at  the Institute of Petroleum Engineering.

The  aim of the visit is  to strengthen existing ties between the research centres and  develop a new history matching algorithm conditioned to seismic reflection data  in order to  reduce uncertainty in petroleum reservoir modelling.

CERENA, the Centre for Natural Resources and the Environment is a multidisciplinary research centre  which specialises  in the modelling and management of natural resources.

Sara Focaccia, who  holds a PhD on Geothermal low enthalpy energy from University of Bologna and Instituto Superior Técnico,  is currently working on geostatistical history matching conditioned to seismic reflection data. Leonardo Azevedo, a final year PhD student investigating geostatistical seismic AVO inversion and seismic inversion directly for petro-elastic models, is concentrating on seismic reservoir characterization and rock physics models.