Print Email Facebook Twitter Low-dimensional tensor representations for the estimation of petrophysical reservoir parameters Title Low-dimensional tensor representations for the estimation of petrophysical reservoir parameters Author Insuasty, E (Eindhoven University of Technology) van den Hof, P.M.J. (Eindhoven University of Technology) Weiland, S (Eindhoven University of Technology) Jansen, J.D. (TU Delft Civil Engineering & Geosciences; TU Delft Geoscience and Engineering) Faculty Civil Engineering & Geosciences Department Geoscience and Engineering Date 2017 Abstract In this work, the application of tensor methodologies for computer-assisted history matching of channelized reservoirs is explored. A tensor-based approach is used for the parameterization of petrophysical parameters to reduce the dimensionality of the parameter estimation problem. Building on the work of Afra and Gildin (2013); Afra et.al. (2014); Afra and Gildin (2016), permeability fields of multiple model realizations are collected in a tensor form which is subsequently decomposed to derive a low-dimensional representation of the dominant spatial structures in the models. This representation then is used to estimate an identifiable reduced set of parameters using an ensemble Kalman filter (EnKF) strategy. This approach is attractive for the parameter estimation of permeabilities because it increases the ability to represent channelized structures in the updates resulting in an improved predictive capacity of the history-matched models. In particular, channel continuity is better preserved than with a Principal Component Analysis (PCA) parameterization. To reference this document use: http://resolver.tudelft.nl/uuid:0fca4ef9-0d8f-4136-a513-13da39371537 DOI https://doi.org/10.2118/182707-MS Publisher SPE Embargo date 2017-08-22 Source SPE Reservoir Simulation Conference: Montgomery, Texas, USA Event SPE Reservoir Simulation Conference, 2017-02-20 → 2017-02-22, Conference Center at La Torretta, Montgomery, United States Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2017 E Insuasty, P.M.J. van den Hof, S Weiland, J.D. Jansen Files PDF SPE_182707_MS.pdf 3.52 MB Close viewer /islandora/object/uuid:0fca4ef9-0d8f-4136-a513-13da39371537/datastream/OBJ/view