Artificial Neural Networks Modeling Two Phase Flow Pressure Drop
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 187
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شناسه ملی سند علمی:
OSCONFE01_094
تاریخ نمایه سازی: 2 مرداد 1404
چکیده مقاله:
as-liquid two-phase flows through pipelines are one of the most common cases found in oil, and gas industries and estimate pressure drop with high accurate is very important.in this regarded, we use Artificial neural network for predict pressure drop along the well. In addition, the selected database contains ۸۲ data sets selected from three different wells from Ahwaz oil field. In this data sets were ۲۰ percent for tests data and ۸۰ percent for training data. Furthermore, Mean Square Error with Artificial model equal ۰.۰۰۰۳۸۱۵۳ percent calculated and this is a high accuracy model.
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نویسندگان
Mohammad Almasi
Department of Petroleum Engineering, Ahvaz Faculty of Petroleum, Petroleum University of Technology