12 مهر 1401
غلامحسين روشني

غلامحسین روشنی

مرتبه علمی: دانشیار
نشانی:
تحصیلات: دکترای تخصصی / مهندسی هسته ای
تلفن:
دانشکده: دانشکده انرژی

مشخصات پژوهش

عنوان
Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Petroleum by-products;Artificial intelligence;Online monitoring;Dual energy; source;Poly-pipelines
پژوهشگران م. روشنی (نفر اول)، گیانگ فان (نفر دوم)، رژنا حسن فرج (نفر سوم)، نهوت فان (نفر چهارم)، غلامحسین روشنی (نفر پنجم)، بهروز ناظمی (نفر ششم به بعد)، انریکو کورنیانی (نفر ششم به بعد)، احسان ناظمی (نفر ششم به بعد)

چکیده

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.