Study of density prediction for petroleum and derivatives using gamma-ray attenuation

Autores

  • César Marques Salgado Instituto de Engenharia Nuclear
  • Luis Eduardo Barreira Brandão Instituto de Engenharia Nuclear

Palavras-chave:

gamma-ray densitometer, artificial neural network, MCNP-X code, density

Resumo

This report presents a study for density prediction of petroleum and derivatives for products’ monitoring application. The detection system uses appropriate narrow beam geometry, comprised of a collimated 137Cs gamma-ray source and a NaI(Tl) detector diametrically positioned on the other side of the pipe in order measure transmitted beam (IT). Theoretical models for different materials have been developed using MCNP-X code.

Referências

C.C. Conti, M.J. Anjos, C.M. Salgado. Determination of the mass attenuation coefficients for X-ray fluorescence measurements correction by the Rayleigh to Compton scattering ratio. Nuclear Instruments and Methods in Physics Research B 335 (2014) 61–65.

Capa Progress Report 2013-2014

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Publicado

2015-12-03

Como Citar

Salgado, C. M., & Brandão, L. E. B. (2015). Study of density prediction for petroleum and derivatives using gamma-ray attenuation. Instituto De Engenharia Nuclear: Progress Report, (2), 6. Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/188

Edição

n. 2 (2015): IEN - Progress Report 2013-2014 n.2

Seção

Application of Nuclear Techniques in Health and Environment