Flow-based dissimilarity measures for reservoir models

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

Insuasty, Edwin (Eindhoven University of Technology)
van den Hof, P.M.J. (Eindhoven University of Technology)
Weiland, Siep (Eindhoven University of Technology)
Jansen, J.D. (TU Delft Civil Engineering & Geosciences; TU Delft Geoscience and Engineering)

Civil Engineering & Geosciences

Geoscience and Engineering

2017-08-01

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.

Flow characterization
Reduced-order modeling
Tensor algebra
Tensor decompositions

http://resolver.tudelft.nl/uuid:64d6b38c-1859-4049-a1b7-d2b5defe206d

https://doi.org/10.1007/s10596-017-9641-4

1420-0597

Computational Geosciences: modeling, simulation and data analysis, 21 (4), 645-663

Institutional Repository

journal article

© 2017 Edwin Insuasty, P.M.J. van den Hof, Siep Weiland, J.D. Jansen