Value of multiple production measurements and water front tracking in closed-loop reservoir management

Conference Paper (2015)
Author(s)

Eduardo Goncalves Dias De Barros (TU Delft - Reservoir Engineering)

Olwijn Leeuwenburgh (TU Delft - Reservoir Engineering, TNO)

PMJ Van den Hof (Eindhoven University of Technology)

J. D. Jansen (TU Delft - Geoscience and Engineering, TU Delft - Civil Engineering & Geosciences)

Research Group
Reservoir Engineering
Copyright
© 2015 E. Goncalves Dias De Barros, O. Leeuwenburgh, P.M.J. van den Hof, J.D. Jansen
DOI related publication
https://doi.org/10.2118/175608-MS
More Info
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Publication Year
2015
Language
English
Copyright
© 2015 E. Goncalves Dias De Barros, O. Leeuwenburgh, P.M.J. van den Hof, J.D. Jansen
Related content
Research Group
Reservoir Engineering
Pages (from-to)
1172-1182
ISBN (electronic)
9781510813427
Reuse Rights

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Abstract

This paper extends previous work on value of information (VOI) assessment in closed-loop reservoir management (CLRM) to estimate the added value of performing multiple measurements along the producing life of the reservoir. The new procedure is based on the workflow from our previous paper which allows to quantify the VOI of a single observation under geological uncertainty. Here we show that, by modifying that workflow slightly, it is possible to assess the value of a series of measurements without a prohibitive increase in computational costs. The approach is illustrated with two cases based on a simple water flooding problem in a two-dimensional five-spot reservoir: the first one, in which we assess the value of a series of production measurements, and the second one, in which we estimate the additional value of water front positions tracked by an interpreted time-lapse seismic survey. We believe that our proposed workflow is a complete methodology to estimate the VOI in a CLRM context because we take into account that the production strategy is updated periodically after new information has been assimilated in the models. However, future work will be required to reduce the computational load to allow for the application of the workflow to real field cases.

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