دانلود مقاله ISI انگلیسی شماره 42815
ترجمه فارسی عنوان مقاله

درباره تعیین دقیق از خواص PVT در سیستم های نفت خام:روش مدل سازی سیستم هوشمند ماشین کمیته

عنوان انگلیسی
On accurate determination of PVT properties in crude oil systems: Committee machine intelligent system modeling approach
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
42815 2015 10 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of the Taiwan Institute of Chemical Engineers, Volume 55, October 2015, Pages 17–26

ترجمه کلمات کلیدی
ضریب حجمی سازند نفت (بو) - فشار نقطه حباب (سرب) - سیستم هوشمند ماشین کمیته (CMIS) - خواص PVT - روابط تجربی
کلمات کلیدی انگلیسی
Oil formation volume factor (Bo); Bubble point pressure (Pb); Committee machine intelligent system (CMIS); PVT properties; Empirical correlations
پیش نمایش مقاله
پیش نمایش مقاله  درباره تعیین دقیق از خواص PVT در سیستم های نفت خام:روش مدل سازی سیستم هوشمند ماشین کمیته

چکیده انگلیسی

This study is focused on accurate determination of PVT properties of reservoir oil using an ensemble approach referred to as committee machine intelligent system. PVT properties of interest are oil formation volume factor (Bo) and bubble point pressure (Pb). Committee machine intelligent system model developed in this work combine multi-layer perceptron network, radial basis function network, and least squares support vector machine via a modified weighted averaging method, while optimizing these weights using genetic algorithm. Developed committee machine intelligent system model was found to accord excellently with experimental data yielding correlation coefficients (R2) of 0.980 and 0.976 for bubble point pressure (Pb), and oil formation volume factor (Bo), respectively. Comprehensive comparisons were also carried out between a variety of PVT prediction models and committee machine intelligent system model developed in this study. At the end, leverage value statistics method was applied to detect and identify some probable outlying points from the gathered databases.