Clustering techniques for value-of-information assessment in closed-loop reservoir management

E.G.D. Barros, F.K. Yap, E.G. Insuasty Moreno, P.M.J. Van den Hof, J.D. Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)

Abstract

Closed-loop reservoir management (CLRM) is a combination of life-cycle optimization and computer-assisted history matching. The application of the CLRM framework to real field cases can be computationally demanding. An even higher computational load results from procedures to assess the value of information (VOI) in CLRM. Such procedures, which are performed prior to field operation, i.e. during the field development planning (FDP) phase, require extreme amounts of simulations. Therefore, we look for alternatives to reduce this computational cost. In particular we compare various clustering techniques to select a limited number of representative members from an ensemble of reservoir models. Using K-means clustering, multi-dimensional scaling and tensor decomposition techniques, we test the effectiveness of different dissimilarity measures such as distance in parameter space, distance in terms of flow patterns and distance in optimal sets of controls. As a first step towards large-scale application we apply several of these measures to a VOI-CLRM exercise using a simple 2D reservoir model which results in a reduction of the necessary number of forward reservoir simulations from millions to thousands.
Original languageEnglish
Title of host publicationProceedings 15th European Conference on Mathematics in Oil Recovery (ECMOR XV)
PublisherEuropean Association of Geoscientists and Engineers (EAGE)
DOIs
Publication statusPublished - 2016
Event15th European Conference on Mathematics in Oil Recovery (ECMOR 2016) - Amsterdam, Netherlands
Duration: 29 Aug 20161 Sep 2016
Conference number: 15
http://eage.org/event/index.php?eventid=1416&evp=17322&ActiveMenu=&Opendivs=&act=det&prev=&ses=3672

Conference

Conference15th European Conference on Mathematics in Oil Recovery (ECMOR 2016)
Abbreviated titleECMOR 2016
CountryNetherlands
CityAmsterdam
Period29/08/161/09/16
Internet address

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    Barros, E. G. D., Yap, F. K., Insuasty Moreno, E. G., Van den Hof, P. M. J., & Jansen, J. D. (2016). Clustering techniques for value-of-information assessment in closed-loop reservoir management. In Proceedings 15th European Conference on Mathematics in Oil Recovery (ECMOR XV) European Association of Geoscientists and Engineers (EAGE). https://doi.org/10.3997/2214-4609.201601858