12 مهر 1401
غلامحسين روشني

غلامحسین روشنی

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

مشخصات پژوهش

عنوان
Evaluation of flow pattern recognition and void fraction measurement in two phase flow independent of oil pipeline’s scale layer thickness
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Flow pattern;Scale layer;Oil pipeline;Support vector machine;Multi-layer perceptron
پژوهشگران م. روشنی (نفر اول)، گیانگ فان (نفر دوم)، پیشه وا جمال محمد علی (نفر سوم)، غلامحسین روشنی (نفر چهارم)، رابرت هنوس (نفر پنجم)، ترانگ دانگ (نفر ششم به بعد)، انریکو کورنیانی (نفر ششم به بعد)، احسان ناظمی (نفر ششم به بعد)، مصطفی کالمون (نفر ششم به بعد)

چکیده

The main objective of the present research is to combine the effect of scale thickness on the flow pattern and characteristics of two-phase flow that is used in oil industry. In this regard, an intelligent nondestructive technique based on combination of gamma radiation attenuation and artificial intelligence is proposed to determine the type of flow pattern and gas volume percentage in two phase flow independent of petroleum pipeline’s scale layer thickness. The proposed system includes a dual energy gamma source, composed of Barium-133 and Cesium-137 radioisotopes, and two sodium iodide detectors for recording the transmitted and scattered photons. Support Vector Machine was implemented for regime identification and Multi-Layer Perceptron with Levenberg Marquardt algorithm was utilized for void fraction prediction. Total count in the scattering detector and counts under photo peaks of Barium-133 and Cesium-137 were assigned as the inputs of networks. The results show the ability of presented system to identify the annular regime and measure the void fraction independent of petroleum pipeline’s scale layer thickness.