A multiscale method for distributed parameter estimation with application to reservoir history matching |
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Authors: | Sigurd Ivar Aanonsen Dmitry Eydinov |
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Institution: | (1) Centre for Integrated Petroleum Research, University of Bergen, P.O. Box 7800, N-5020 Bergen, Norway |
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Abstract: | A method for multiscale parameter estimation with application to reservoir history matching is presented. Starting from a
given fine-scale model, coarser models are generated using a global upscaling technique where the coarse models are tuned
to match the solution of the fine model. Conditioning to dynamic data is done by history-matching the coarse model. Using
consistently the same resolution both for the forward and inverse problems, this model is successively refined using a combination
of downscaling and history matching until model-matching dynamic data are obtained at the finest scale. Large-scale corrections
are obtained using fast models, which, combined with a downscaling procedure, provide a better initial model for the final
adjustment on the fine scale. The result is thus a series of models with different resolution, all matching history as good
as possible with this grid. Numerical examples show that this method may significantly reduce the computational effort and/or
improve the quality of the solution when achieving a fine-scale match as compared to history-matching directly on the fine
scale. |
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Keywords: | parameter estimation history matching multiscale |
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