TY - JOUR
T1 - Flow-based dissimilarity measures for reservoir models
T2 - a spatial-temporal tensor approach
AU - Insuasty, Edwin
AU - Van den Hof, Paul M.J.
AU - Weiland, Siep
AU - Jansen, Jan Dirk
PY - 2017/8/1
Y1 - 2017/8/1
N2 - 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.
AB - 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.
KW - Flow characterization
KW - Reduced-order modeling
KW - Tensor algebra
KW - Tensor decompositions
UR - http://www.scopus.com/inward/record.url?scp=85017139555&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:64d6b38c-1859-4049-a1b7-d2b5defe206d
U2 - 10.1007/s10596-017-9641-4
DO - 10.1007/s10596-017-9641-4
M3 - Article
SN - 1420-0597
VL - 21
SP - 645
EP - 663
JO - Computational Geosciences: modeling, simulation and data analysis
JF - Computational Geosciences: modeling, simulation and data analysis
IS - 4
ER -