First-Order Indicators for the Estimation of Discrete Fractures in Porous Media

Abstract : Faults and geological barriers can drastically affect the flow patterns in porous media. Such fractures can be modeled as interfaces that interact with the surrounding matrix. We propose a new technique for the estimation of the location and hydrogeological properties of a small number of large fractures in a porous medium from given distributed pressure or flow data. At each iteration, the algorithm builds a short list of candidates by comparing fracture indicators. These indicators quantify at the first order the decrease of a data misfit function; they are cheap to compute. Then, the best candidate is picked up by minimization of the objective function for each candidate. Optimally driven by the fit to the data, the approach has the great advantage of not requiring remeshing, nor shape derivation. The stability of the algorithm is shown on a series of numerical examples representative of typical situations.
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Journal articles
Inverse Problems in Science and Engineering, Taylor & Francis, 2017, pp.31. <10.1080/17415977.2017.1290087>
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Submitted on : Thursday, October 20, 2016 - 7:12:38 PM
Last modification on : Friday, June 16, 2017 - 1:07:52 AM

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Hend Ben Ameur, Guy Chavent, Fatma Cheikh, François Clément, Vincent Martin, et al.. First-Order Indicators for the Estimation of Discrete Fractures in Porous Media. Inverse Problems in Science and Engineering, Taylor & Francis, 2017, pp.31. <10.1080/17415977.2017.1290087>. <hal-01279503v2>

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