Prediction of scale thickness in pipelines using artificial neural network and gamma rays by MCNP6 code

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William Luna Salgado
Roos Sophia de Freitas Dam
Renato Raoni Werneck Affonso
César Marques Salgado

Resumo

This report presents a method to study the deposition of scale in pipelines of multiphase systems (oil/water/gas), commonly found in the petroleum industry.

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Seção
Application of Nuclear Techniques in Industry