Investigation of production forecast biases of simulation models in a benchmark case

Investigation of production forecast biases of simulation models in a benchmark case

Vinicius Eduardo Botechia, Ana Teresa Ferreira da Silva Gaspar, Guilherme Daniel Avansi, Alessandra Davolio, Denis José Schiozer

ARTIGO

Inglês

Agradecimentos: This work was carried out in association with the Project registered as BG-07 “Reduction of uncertainties through the incorporation of 4D seismic data in the modeling of the reservoir” (UNICAMP/Shell Brazil/ANP) funded by Shell Brazil under the ANP R&D levy as “Investment Commitment...

Reservoir management decisions are often based on simulation models and probabilistic approaches. Thus, the response of the model must be sufficiently accurate to base sound decisions on and fast enough to be practical for methodologies requiring many simulation runs. However, simulation models...

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Investigation of production forecast biases of simulation models in a benchmark case

Vinicius Eduardo Botechia, Ana Teresa Ferreira da Silva Gaspar, Guilherme Daniel Avansi, Alessandra Davolio, Denis José Schiozer


										

Investigation of production forecast biases of simulation models in a benchmark case

Vinicius Eduardo Botechia, Ana Teresa Ferreira da Silva Gaspar, Guilherme Daniel Avansi, Alessandra Davolio, Denis José Schiozer

    Fontes

    Oil & gas science & technology: revue de l'Institut Français du Petrole

    Vol. 73, no. 23 (2018)