Multiscale model reduction method for Bayesian inverse problems of subsurface flow

@article{Jiang2017MultiscaleMR,
  title={Multiscale model reduction method for Bayesian inverse problems of subsurface flow},
  author={Lijian Jiang and Na Ou},
  journal={J. Comput. Appl. Math.},
  year={2017},
  volume={319},
  pages={188-209}
}
  • Lijian Jiang, Na Ou
  • Published 1 April 2016
  • Mathematics, Computer Science
  • J. Comput. Appl. Math.
This work presents a model reduction approach to the inverse problem in the application of subsurface flows. For the Bayesian inverse problem, the forward model needs to be repeatedly computed for a large number of samples to get a stationary chain. This requires large computational efforts. To significantly improve the computation efficiency, we use generalized multiscale finite element method and least-squares stochastic collocation method to construct a reduced computational model. To avoid… 
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