A method for reduction of uncertainties in reservoir model using observed data : application to a complex case
Célio Maschio, Denis Jose Schiozer
ARTIGO
Inglês
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...
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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 of the posterior distribution and, as a consequence, reducing the dispersion of the reservoir response and mitigating risk. To capture the influence between attributes and reservoir responses, an influence matrix is proposed. The method deals with discrete and continuous attributes, which permits an adequate representation of the several types of uncertainties. The methodology was applied to a complex case and promising results are shown
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Fechado
Maschio, Célio, 1968-
Autor
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) |