Gaining more understanding about reservoir behavior through assimilation of breakthrough time and productivity deviation in the history matching process

Gaining more understanding about reservoir behavior through assimilation of breakthrough time and productivity deviation in the history matching process

Helena Nandi Formentin, Forlan la Rosa Almeida, Guilherme Daniel Avansi, Célio Maschio, Denis J. Schiozer, Camila Caiado, Ian Vernon, Michael Goldstein

ARTIGO

Inglês

Agradecimentos: This work was conducted with the support of CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico - Brazil, Energi Simulation and in association with the ongoing Project registered under ANP number 19708–7 as "BG-26 – Fomento à Formação de Recursos Humanos em Gestão de...

History matching (HM) is an inverse problem where uncertainties in attributes are reduced by comparison with observed dynamic data. Typically, normalized misfit summarizes dissimilarities between observed and simulation data. Especially for long-time series, objective functions (OFs) aggregate...

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

Fechado

Gaining more understanding about reservoir behavior through assimilation of breakthrough time and productivity deviation in the history matching process

Helena Nandi Formentin, Forlan la Rosa Almeida, Guilherme Daniel Avansi, Célio Maschio, Denis J. Schiozer, Camila Caiado, Ian Vernon, Michael Goldstein


										

Gaining more understanding about reservoir behavior through assimilation of breakthrough time and productivity deviation in the history matching process

Helena Nandi Formentin, Forlan la Rosa Almeida, Guilherme Daniel Avansi, Célio Maschio, Denis J. Schiozer, Camila Caiado, Ian Vernon, Michael Goldstein

    Fontes

    Journal of petroleum science and engineering

    Vol. 173 (Feb., 2019), p. 1080-1096