Developing a workflow to select representative reservoir models combining distance-based clustering and data assimilation for decision making process

Developing a workflow to select representative reservoir models combining distance-based clustering and data assimilation for decision making process

Seyed Kourosh Mahjour, Antonio Alberto Souza Santos, Manuel Gomes Correia, Denis José Schiozer

ARTIGO

Inglês

Agradecimentos: The authors are grateful to the Center of Petroleum Studies (CEPETRO-Unicamp/Brazil), PETROBRAS S/A, UNISIM, ANP, Petroleum Engineering Department (DEP-FEM-Unicamp/Brazil) and Energi Simulation for their support of this work. The authors are also grateful to Schlumberger Information...

Different types of static and dynamic uncertainties can play critical roles to select an efficient and reliable production strategy in the oil fields, yielding a large number of models to analyze. The definition of such a production strategy requires flow simulation for each model. Since the flow...

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Developing a workflow to select representative reservoir models combining distance-based clustering and data assimilation for decision making process

Seyed Kourosh Mahjour, Antonio Alberto Souza Santos, Manuel Gomes Correia, Denis José Schiozer


										

Developing a workflow to select representative reservoir models combining distance-based clustering and data assimilation for decision making process

Seyed Kourosh Mahjour, Antonio Alberto Souza Santos, Manuel Gomes Correia, Denis José Schiozer

    Fontes

    Journal of petroleum science and engineering

    Vol. 190 (July, 2020), n. art. 107078