A Sparse Bayesian Estimation Framework for Conditioning Prior Geologic Models to Nonlinear Flow Measurements release_5a5wayjxkzd33n7jiy4azyoifi

by Lianlin Li, Behnam Jafarpour

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2009  

Abstract

We present a Bayesian framework for reconstruction of subsurface hydraulic properties from nonlinear dynamic flow data by imposing sparsity on the distribution of the solution coefficients in a compression transform domain.
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Date   2009-11-25
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arXiv  0911.4961v1
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