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Production strategy optimization based on iterative discrete Latin hypercube

Production strategy optimization based on iterative discrete Latin hypercube

João Carlos von Hohendorff Filho, Célio Maschio, Denis José Schiozer

ARTIGO

Inglês

Agradecimentos: The authors are grateful for the support of the Center of Petroleum Studies (CEPETRO-UNICAMP/Brazil), the Department of Energy (DE-FEM-UNICAMP/Brazil), PETROBRAS S/A, Foundation CMG and Research Group in Reservoir Simulation and Management (UNISIM-UNICAMP/Brazil). In addition,... Ver mais
This paper proposes a new iterative discrete Latin hypercube sampling based method to maximize the objective function (OF) in production strategy optimization. This methodology adequately treats posterior frequency distributions of discrete random variables and maximizes non-necessarily monotonic... Ver mais

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Production strategy optimization based on iterative discrete Latin hypercube

João Carlos von Hohendorff Filho, Célio Maschio, Denis José Schiozer

										

Production strategy optimization based on iterative discrete Latin hypercube

João Carlos von Hohendorff Filho, Célio Maschio, Denis José Schiozer

    Fontes

    Journal of the Brazilian Society of Mechanical Sciences and Engineering

    Vol. 38, no. 8 (Dec., 2016), p. 2473-2480