A predictor-corrector algorithm to estimate the fractional flow in oil-water models

We introduce a predictor-corrector algorithm to estimate parameters in a nonlinear hyperbolic problem. It can be used to estimate the oil-fractional flow function from the Buckley-Leverett equation. The forward model is non-linear: the sought- for parameter is a function of the solution of the equat...

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Autores principales: Savioli, G.B., Fernández Berdaguer, E.M.
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2008
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_17426588_v135_n_p_Savioli
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spelling paperaa:paper_17426588_v135_n_p_Savioli2023-06-12T16:50:57Z A predictor-corrector algorithm to estimate the fractional flow in oil-water models J. Phys. Conf. Ser. 2008;135 Savioli, G.B. Fernández Berdaguer, E.M. We introduce a predictor-corrector algorithm to estimate parameters in a nonlinear hyperbolic problem. It can be used to estimate the oil-fractional flow function from the Buckley-Leverett equation. The forward model is non-linear: the sought- for parameter is a function of the solution of the equation. Traditionally, the estimation of functions requires the selection of a fitting parametric model. The algorithm that we develop does not require a predetermined parameter model. Therefore, the estimation problem is carried out over a set of parameters which are functions. The algorithm is based on the linearization of the parameter-to-output mapping. This technique is new in the field of nonlinear estimation. It has the advantage of laying aside parametric models. The algorithm is iterative and is of predictor-corrector type. We present theoretical results on the inverse problem. We use synthetic data to test the new algorithm. © 2008 IOP Publishing Ltd. Fil:Savioli, G.B. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2008 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_17426588_v135_n_p_Savioli
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language Inglés
orig_language_str_mv eng
description We introduce a predictor-corrector algorithm to estimate parameters in a nonlinear hyperbolic problem. It can be used to estimate the oil-fractional flow function from the Buckley-Leverett equation. The forward model is non-linear: the sought- for parameter is a function of the solution of the equation. Traditionally, the estimation of functions requires the selection of a fitting parametric model. The algorithm that we develop does not require a predetermined parameter model. Therefore, the estimation problem is carried out over a set of parameters which are functions. The algorithm is based on the linearization of the parameter-to-output mapping. This technique is new in the field of nonlinear estimation. It has the advantage of laying aside parametric models. The algorithm is iterative and is of predictor-corrector type. We present theoretical results on the inverse problem. We use synthetic data to test the new algorithm. © 2008 IOP Publishing Ltd.
format Artículo
Artículo
publishedVersion
author Savioli, G.B.
Fernández Berdaguer, E.M.
spellingShingle Savioli, G.B.
Fernández Berdaguer, E.M.
A predictor-corrector algorithm to estimate the fractional flow in oil-water models
author_facet Savioli, G.B.
Fernández Berdaguer, E.M.
author_sort Savioli, G.B.
title A predictor-corrector algorithm to estimate the fractional flow in oil-water models
title_short A predictor-corrector algorithm to estimate the fractional flow in oil-water models
title_full A predictor-corrector algorithm to estimate the fractional flow in oil-water models
title_fullStr A predictor-corrector algorithm to estimate the fractional flow in oil-water models
title_full_unstemmed A predictor-corrector algorithm to estimate the fractional flow in oil-water models
title_sort predictor-corrector algorithm to estimate the fractional flow in oil-water models
publishDate 2008
url http://hdl.handle.net/20.500.12110/paper_17426588_v135_n_p_Savioli
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AT fernandezberdaguerem apredictorcorrectoralgorithmtoestimatethefractionalflowinoilwatermodels
AT savioligb predictorcorrectoralgorithmtoestimatethefractionalflowinoilwatermodels
AT fernandezberdaguerem predictorcorrectoralgorithmtoestimatethefractionalflowinoilwatermodels
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