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Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products

Tijdschriftbijdrage - Tijdschriftartikel

It is important for operators of poly-pipelines in petroleum industry to continuously monitor characteristics of transferred fluid such as its type and amount. To achieve this aim, in this study a dual energy gamma attenuation technique in combination with artificial neural network (ANN) is proposed to simultaneously determine type and amount of four different petroleum by-products. The detection system is composed of a dual energy gamma source, including americium-241 and barium-133 radioisotopes, and one 2.54 cm × 2.54 cm sodium iodide detector for recording the transmitted photons. Two signals recorded in transmission detector, namely the counts under photo peak of Americium-241 with energy of 59.5 keV and the counts under photo peak of Barium-133 with energy of 356 keV, were applied to the ANN as the two inputs and volume percentages of petroleum by-products were assigned as the outputs.
Tijdschrift: Nuclear Engineering and Technology
ISSN: 1738-5733
Volume: 53
Pagina's: 1277 - 1283
Jaar van publicatie:2021
Trefwoorden:A1 Journal article
Toegankelijkheid:Open