A novel localization scheme for scalar uncertainties in ensemble-based data assimilation methods

A novel localization scheme for scalar uncertainties in ensemble-based data assimilation methods

Ricardo Vasconcellos Soares, Celio Maschio, Denis Jose Schiozer

ARTIGO

Inglês

Agradecimentos: This work was conducted with the support of Energi Simulation and Petrobras within the ANP R&D tax as ‘commitment to research and development investments.’ The authors are grateful for the support of the Center of Petroleum Studies (CEPETRO-UNICAMP/Brazil), the Department of Energy...

History matching, also known as data assimilation, is an inverse problem with multiple solutions responsible for generating more reliable models for use in decision-making processes. An iterative ensemble-based method (Ensemble Smoother with Multiple Data Assimilation-ES-MDA) has been used to...

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A novel localization scheme for scalar uncertainties in ensemble-based data assimilation methods

Ricardo Vasconcellos Soares, Celio Maschio, Denis Jose Schiozer


										

A novel localization scheme for scalar uncertainties in ensemble-based data assimilation methods

Ricardo Vasconcellos Soares, Celio Maschio, Denis Jose Schiozer

    Fontes

    Journal of petroleum exploration and production technology

    Vol. 9, no. 4 (Dec., 2019), p. 2497-2510