Flow-based dissimilarity measures for reservoir models: a spatial-temporal tensor approach

Edwin Insuasty, Paul M.J. Van den Hof, Siep Weiland, Jan Dirk Jansen

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
133 Downloads (Pure)

Abstract

In reservoir engineering, it is attractive to characterize the difference between reservoir models in metrics that relate to the economic performance of the reservoir as well as to the underlying geological structure. In this paper, we develop a dissimilarity measure that is based on reservoir flow patterns under a particular operational strategy. To this end, a spatial-temporal tensor representation of the reservoir flow patterns is used, while retaining the spatial structure of the flow variables. This allows reduced-order tensor representations of the dominating patterns and simple computation of a flow-induced dissimilarity measure between models. The developed tensor techniques are applied to cluster model realizations in an ensemble, based on similarity of flow characteristics.

Original languageEnglish
Pages (from-to)645-663
Number of pages19
JournalComputational Geosciences: modeling, simulation and data analysis
Volume21
Issue number4
DOIs
Publication statusPublished - 1 Aug 2017

Keywords

  • Flow characterization
  • Reduced-order modeling
  • Tensor algebra
  • Tensor decompositions

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