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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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as a article
.
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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0911.4961v1
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