The multi-scale mixed finite element method (MsMFEM) discussed in this work uses a
two-scale approach, where the solutions to independent local flow problems on the fine
grid capture the fine-scale variations of the reservoir model, while the coarse grid
equations appropriately assimilate this information in the global solution. Temporal
changes in porous media flow are relatively moderate when compared to the spatial
variations in the reservoir. Hence, approximate global solutions by adaptively solving
these local flow problems can be obtained with significant savings in computational
time. The ensemble Kalman filter, used for real-time updating of reservoir models, can
thus be coupled with the MsMFEM-streamline simulator to speed up the historymatching
process considerably.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2803 |
| Date | 15 May 2009 |
| Creators | Mukerjee, Rahul |
| Contributors | Datta-Gupta, Akhil |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | electronic, application/pdf, born digital |
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