Multilayer Perceptron and General Regression Neural Networks for a study in three-phase flow

Autores

  • César Marques Salgado Instituto de Engenharia Nuclear
  • Ross Sophia de Freitas Dam Universidade Federal do Rio de Janeiro
  • William Luna Salgado Universidade Federal do Rio de Janeiro

Resumo

This report presents a methodology for volume fraction (VF) predictions in water-gas-oil multiphase systems based on gamma-ray densitometry and artificial neural networks (ANNs). The simulated geometry uses a dual-energy gamma-ray source and dual-modality (transmitted and scattered beams).

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Publicado

2021-08-12

Edição

Seção

Application of Nuclear Techniques in Industry