tno / brugge

Contains simulation files of the Brugge benchmark model for reservoir management

Brugge

This repository contains simulation files for a single model realization of the Brugge benchmark model for reservoir management, and additional static files needed to create a FlowNet version of the model. By downloading data from this repository you agree with the conditions specified below.

Data Use Agreement

(c) 2008-2017 TNO, The Hague, the Netherlands. All copyrights and other intellectual property rights reserved.

This repository contains simulation files for a single model realization from the Brugge data set. The files and documents of that data set were prepared for the SPE ATW workshop on Closed-Loop Reservoir Management held in June 2008 in Brugge, Belgium. In 2012 an extended data set was prepared.

The files pertain to a reservoir model based on synthetic data assembled for the fictitious field referred to as “Brugge” and to the definition SPE ATW Closed-Loop Reservoir Management benchmark. All files, including the simulation files, are provided on a strict “as is” basis. The full data set can be requested via www.isapp2.com.

TNO does not assume responsibility or liability for any damage that might result from use of these files by others. Reasonable changes to the files as proposed by others will be considered. Please be aware that these files of the Brugge data set are available for non-commercial purposes only. If you wish to use thise data for a commercial venture, please contact us first at [email protected].

We ask that you acknowledge TNO in any publications, presentations or reports that use the data set. The references for the summary paper from the original workshop and for the paper describing the extended data set are provided below:

Peters, E., Arts, R.J., Brouwer, G.K., Geel, C.R., Cullick, S., Lorentzen, R.J., Chen, Y., Dunlop, K.N.B., Vossepoel, F.C., Xu, R., Sarma, P., Alhutali, A.H., Reynolds, A.C. (2010), Results of the Brugge benchmark study for flooding optimisation and histyory matching. SPE Res Eval & Eng 13 (3): 391-405. https://doi.org/10.2118/119094-PA.

Peters, E., Chen, Y., Leeuwenburgh, O., Oliver, D.S. 2012. Extended Brugge benchmark case for histyory matching and water flooding optimization. Computers & Geosciences 50 (2013), p 16-24, CAGEO 2975. http://dx.doi.org/10.1016/j.cageo.2012.07.018.