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arXiv · 0911.4961

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

Lianlin Li·Behnam Jafarpour
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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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Lianlin Li, Behnam Jafarpour. 2009-11-25. A Sparse Bayesian Estimation Framework for Conditioning Prior Geologic Models to Nonlinear Flow Measurements. https://doi.org/10.1016/j.advwatres.2010.06.005

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