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A method for reduction of uncertainties in reservoir model using observed data : application to a complex case

A method for reduction of uncertainties in reservoir model using observed data : application to a complex case

Célio Maschio, Denis Jose Schiozer

ARTIGO

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Agradecimentos: The authors wish to thank PETROBRAS (REDE SIGER), UNISIM, CEPETRO and the Department of Petroleum Engineering for the support to this work

The aim of this paper is to show a methodology to reduce uncertainties in complex reservoir models using observed dynamic data. The basic idea is the use of the difference between observed and simulated data to constrain the probability redistribution of the uncertain attributes, reducing the spread... Ver mais

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A method for reduction of uncertainties in reservoir model using observed data : application to a complex case

Célio Maschio, Denis Jose Schiozer

										

A method for reduction of uncertainties in reservoir model using observed data : application to a complex case

Célio Maschio, Denis Jose Schiozer

    Fontes

    Journal of the Brazilian Society of Mechanical Sciences and Engineering (Fonte avulsa)