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A new optimization framework using genetic algorithm and artificial neural network to reduce uncertainties in petroleum reservoir models

A new optimization framework using genetic algorithm and artificial neural network to reduce uncertainties in petroleum reservoir models

Célio Maschio, Denis José Schiozer

ARTIGO

Inglês

Agradecimentos: The authors wish to thank PETROBRAS (REDE SIGER), UNISIM, CEPETRO and the Department of Petroleum Engineering for their support of this work. The authors are also grateful to the Computer Modelling Group (CMG) for the use of the flow simulator (IMEX)

In this article, a new optimization framework to reduce uncertainties in petroleum reservoir attributes using artificial intelligence techniques (neural network and genetic algorithm) is proposed. Instead of using the deterministic values of the reservoir properties, as in a conventional process,... Ver mais

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A new optimization framework using genetic algorithm and artificial neural network to reduce uncertainties in petroleum reservoir models

Célio Maschio, Denis José Schiozer

										

A new optimization framework using genetic algorithm and artificial neural network to reduce uncertainties in petroleum reservoir models

Célio Maschio, Denis José Schiozer

    Fontes

    Engineering optimization (Fonte avulsa)