Study of flow regime identification in multiphase flows using artificial neural networks

Autores

  • César Marques Salgado Instituto de Engenharia Nuclear
  • Luis Eduardo Barreira Brandão Instituto de Engenharia Nuclear

Palavras-chave:

NaI(Tl) detector, MCNP-X code, intelligence artificial, gamma-ray, flow regime

Resumo

This report presents a new methodology for flow regimes automatically identification in water-gas-oil multiphase systems. The approach is based on gamma-ray pulse height distributions pattern recognition by means the artificial neural networks.

Referências

C.M. Salgado, C.M.N.A. Pereira, R. Schirru, L.E.B. Brandão. Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks. Progress in Nuclear Energy 52 (2010) 555-562.

Capa Progress Report 2013-2014

Downloads

Publicado

2015-12-03

Como Citar

Salgado, C. M., & Brandão, L. E. B. (2015). Study of flow regime identification in multiphase flows using artificial neural networks. Instituto De Engenharia Nuclear: Progress Report, (2), 7. Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/190

Edição

n. 2 (2015): IEN - Progress Report 2013-2014 n.2

Seção

Application of Nuclear Techniques in Health and Environment