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

Authors

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

Keywords:

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

Abstract

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.

References

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

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Published

2015-12-03

How to Cite

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. Retrieved from https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/190

Issue

No. 2 (2015): IEN - Progress Report 2013-2014 n.2

Section

Application of Nuclear Techniques in Health and Environment