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

Authors

  • 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

Abstract

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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Published

2021-08-12

How to Cite

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). Retrieved from https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/422

Issue

No. 4 (2021): IEN - Progress Report 2018-2020 n.4

Section

ANTI

License

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

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.