Multilayer Perceptron and General Regression Neural Networks for a study in three-phase flow
Abstract
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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Published
2021-08-12
How to Cite
Marques Salgado, C., Dam, R. S. de F. ., & Salgado, W. L. (2021). Multilayer Perceptron and General Regression Neural Networks for a study in three-phase flow. Instituto De Engenharia Nuclear: Progress Report, (4). Retrieved from https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/430
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Section
ANTI
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Copyright (c) 2021 César Marques Salgado, Ross Sophia de Freitas Dam, William Luna Salgado
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.