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Title
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Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products
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Author
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Abstract
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| 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. |
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Language
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English
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Source (journal)
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Nuclear Engineering and Technology
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Publication
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2021
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ISSN
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17385733
1738-5733
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DOI
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10.1016/J.NET.2020.09.015
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Volume/pages
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53
:4
(2021)
, p. 1277-1283
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ISI
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000635627300006
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Full text (Publisher's DOI)
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Full text (open access)
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