سال انتشار: ۱۳۸۶

محل انتشار: پنجمین کنگره بین المللی مهندسی شیمی

تعداد صفحات: ۸

نویسنده(ها):

Fateme Mehran – Faculty of Chemical Engineering, Mazandaran University, Iran
Kamyar Movagharnejad – Faculty of Chemical Engineering, Mazandaran University

چکیده:

Reservoir fluid properties are of high importance in reservoir engineering calculations. Formation volume factor at the bubble point pressure and reservoir bubble point pressure are two of the reservoir properties for which many empirical correlations have been developed. In this study Artificial Neural Networks models have been represented to predict the above properties for Iranian oil fields. This study is developed using 387
published data from more than 40 Iranian oil fields. The results show that the developed models provide better predictions and higher accuracy than the published empirical correlations.