Print Email Facebook Twitter A system-theoretical approach to selective grid coarsening of reservoir models Title A system-theoretical approach to selective grid coarsening of reservoir models Author Vakili-Ghahani, S.A. Jansen, J.D. Faculty Civil Engineering and Geosciences Department Geotechnology Date 2011-11-16 Abstract From a system-theoretical point of view and for a given configuration of wells, there are only a limited number of degrees of freedom in the input–output dynamics of a reservoir system. This means that a large number of combinations of the state variables (pressure and saturation values) are not actually controllable and observable from the wells, and accordingly, they are not affecting the input–output behavior of the system. In an earlier publication, we therefore proposed a control-relevant upscaling methodology that uniformly coarsens the reservoir. Here, we present a control-relevant selective (i.e. non-uniform) coarsening (CRSC) method, in which the criterion for grid size adaptation is based on ranking the grid block contributions to the controllability and observability of the reservoir system. This multi-level CRSC method is attractive for use in iterative procedures such as computer-assisted flooding optimization for a given configuration of wells. In contrast to conventional flow-based coarsening techniques our method is independent of the specific flow rates or pressures imposed at the wells. Moreover the system-theoretical norms employed in our method provide tight upper bounds to the ‘input–output energy’ of the fine and coarse systems. These can be used as an a priori error-estimate of the performance of the coarse model. We applied our algorithm to two numerical examples and found that it can accurately reproduce results from the corresponding fine-scale simulations, while significantly speeding up the simulation. Subject upscalinggrid coarseninggrid refinementcontrollabilityobservabilitycontrol-relevantHankel singular valuessystem theory To reference this document use: http://resolver.tudelft.nl/uuid:af7c2869-566b-4f9e-91d8-1e6bb9c076b6 DOI https://doi.org/10.1007/s10596-011-9260-4 Publisher Springer ISSN 1420-0597 Source http://www.springerlink.com/content/q25h021205896008/ Source Computational Geosciences, 16 (1), 2011 Part of collection Institutional Repository Document type journal article Rights (c) 2011 The Author(s). This article is published with open access at Springerlink.com Files PDF Vakili-Ghahani.pdf 1.4 MB Close viewer /islandora/object/uuid:af7c2869-566b-4f9e-91d8-1e6bb9c076b6/datastream/OBJ/view