Optimization of a three-phase flow system using gamma rays and artificial neural network

Autores

  • William Luna Salgado Universidade Federal do Rio de Janeiro
  • Roos Sophia de Freitas Dam Universidade Federal do Rio de Janeiro
  • Renato Raoni Werneck Affonso Universidade Federal do Rio de Janeiro
  • César Marques Salgado Instituto de Engenharia Nuclear

Resumo

This report presents a method based on gamma-ray densitometry using only one multilayer perceptron artificial neural network (ANN) to identify flow regime and predict volume fraction of gas, water, and oil in multiphase flow, simultaneously, making the prediction independent of the flow regime.

Linha principal do CV-28: lente quadripolar e distribuidor magnético

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Publicado

2021-08-12

Como Citar

Luna Salgado, W. ., Dam, R. S. de F., Affonso, R. R. W. ., & Salgado, C. M. (2021). Optimization of a three-phase flow system using gamma rays and artificial neural network. Instituto De Engenharia Nuclear: Progress Report, (4). Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/422

Edição

n. 4 (2021): IEN - Progress Report 2018-2020 n.4

Seção

Application of Nuclear Techniques in Industry

Licença

Copyright (c) 2021 William Luna Salgado, Roos Sophia de Freitas Dam, Renato Raoni Werneck Affonso, César Marques Salgado

Creative Commons License

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.