Efficient selection of reservoir model outputs within an emulation-based bayesian history-matching uncertainty analysis

Efficient selection of reservoir model outputs within an emulation-based bayesian history-matching uncertainty analysis

Carla Janaina Ferreira, Ian Vernon, Camila Caiado, Helena Nandi Formentin, Guilherme Daniel Avansi, Michael Goldstein, Denis José Schiozer

ARTIGO

Inglês

Agradecimentos: This work was conducted with the support of (1) the project registered under ANP number 19708-7 as "BG-26 - Fomento à Formação de Recursos Humanos em Gestão de Incertezas e Tomada de Decisão: A BG Fellowship Program" and "BG-32 - Análise de Risco para o Desenvolvimento e...

When performing classic uncertainty reduction according to dynamic data, a large number of reservoir simulations need to be evaluated at high computational cost. As an alternative, we construct Bayesian emulators that mimic the dominant behavior of the reservoir simulator, and which are several...

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

Fechado

Efficient selection of reservoir model outputs within an emulation-based bayesian history-matching uncertainty analysis

Carla Janaina Ferreira, Ian Vernon, Camila Caiado, Helena Nandi Formentin, Guilherme Daniel Avansi, Michael Goldstein, Denis José Schiozer


										

Efficient selection of reservoir model outputs within an emulation-based bayesian history-matching uncertainty analysis

Carla Janaina Ferreira, Ian Vernon, Camila Caiado, Helena Nandi Formentin, Guilherme Daniel Avansi, Michael Goldstein, Denis José Schiozer

    Fontes

    SPE journal

    (June, 2020), n. art. 157170