سال انتشار: ۱۳۸۵

محل انتشار: اولین کنگره مهندسی نفت ایران

تعداد صفحات: ۱۷

نویسنده(ها):

Fateme Mehran – Mazandaran University, Faculty of Chemical Engineering
Kamyar Movagharnejad – Mazandaran University, Faculty of Chemical Engineering
Ali Didanloo – Iranian Society of Petroleum Engineers

چکیده:

Reservoir fluid properties are very important in reservoir engineering computations such as
material balance calculations, well test analysis, reserve estimates, and numerical reservoir
simulations. Ideally, these properties should be obtained from actual measurements. Quite
often, however, these measurements are either not available, or very costly to obtain.
In such cases, empirically derived correlations are used to predict the needed properties. All
computations, therefore, will depend on the accuracy of the correlations used for predicting
the fluid properties. Two nonlinear multiple regression analysis models for predicting the
formation volume factor at the bubble point pressure and reservoir bubble point pressure are developed during this study. This study is developed using 387 published data from more
than 40 Iranian oil fields. This data includes reservoir temperature, Gas Oil Ratio (GOR), gas
gravity ,oil gravity ,formation volume factor(Bob) and bubble point pressure(Pb) that was
obtained from PVT laboratory.
The results show that the developed model provides better predictions and higher accuracy
than the published empirical correlations. The present model provides predictions of the
formation volume factor at the bubble point pressure and for reservoir bubble point pressure
with an absolute average percent error of 1.7% and 9.3% a standard deviation of 2.84% and
28.3% and correlation coefficient of 0.964 and 0.895 respectively.