Improving representativeness in a scenario reduction process to aid decision making in petroleum fields

Improving representativeness in a scenario reduction process to aid decision making in petroleum fields

Luis A. A. Meira, Guilherme P. Coelho, Celmar G. da Silva, João L. A. Abreu, Antonio A. S. Santos, Denis J. Schiozer

ARTIGO

Inglês

Agradecimentos: This work was conducted with the support of Energi Simulation and Petrobras within the ANP R&D "commitment to research and development investments". The authors would like to thank the support of the Center of Petroleum Studies (CEPETRO-UNICAMP/Brazil), the Department of Energy...

Abstract: This paper presents an extension of the RMFinder technique, previously proposed for scenario reduction within the decision-making process in oil fields. As there are several uncertainties associated with this process, a large number of scenarios should be analyzed so that high-quality...

Fechado

Improving representativeness in a scenario reduction process to aid decision making in petroleum fields

Luis A. A. Meira, Guilherme P. Coelho, Celmar G. da Silva, João L. A. Abreu, Antonio A. S. Santos, Denis J. Schiozer

										

Improving representativeness in a scenario reduction process to aid decision making in petroleum fields

Luis A. A. Meira, Guilherme P. Coelho, Celmar G. da Silva, João L. A. Abreu, Antonio A. S. Santos, Denis J. Schiozer

    Fontes

    Journal of petroleum science and engineering

    v. 184, n. art. 106398, Jan. 2020