Clustering Techniques for Value-of-information Assessment in Closed-loop Reservoir Management

Eduardo Goncalves Dias De Barros, F.K. Yap, E Insuasty, PMJ Van den Hof, Jan Dirk Jansen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)
18 Downloads (Pure)

Abstract

Closed-loop reservoir management (CLRM) is a combination of life-cycle optimization and computerassisted 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 of the 15th European Conference on the Mathematics of Oil Recovery
Subtitle of host publicationAmsterdam, Netherlands
PublisherEAGE
Pages1-19
Number of pages19
ISBN (Electronic)978-94-6282-193-4
DOIs
Publication statusPublished - 2016
EventECMOR XV: 15th European Conference on the Mathematics of Oil Recovery - Amsterdam, Netherlands
Duration: 29 Aug 20161 Sep 2016
https://www.eage.org/event/?eventid=1416

Conference

ConferenceECMOR XV
Abbreviated titleECMOR XV
CountryNetherlands
CityAmsterdam
Period29/08/161/09/16
Internet address

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  • Research Output

    • 6 Citations
    • 1 Dissertation (TU Delft)

    Value of information in closed-loop reservoir management

    Gonçalves Dias de Barros, E., 2018, 171 p.

    Research output: ThesisDissertation (TU Delft)

    Open Access
    File
  • 30 Downloads (Pure)

    Cite this

    Goncalves Dias De Barros, E., Yap, F. K., Insuasty, E., Van den Hof, PMJ., & Jansen, J. D. (2016). Clustering Techniques for Value-of-information Assessment in Closed-loop Reservoir Management. In Proceedings of the 15th European Conference on the Mathematics of Oil Recovery: Amsterdam, Netherlands (pp. 1-19). EAGE. https://doi.org/10.3997/2214-4609.201601858