آمار

تعداد نشریات8
تعداد شماره‌ها419
تعداد مقالات5,514
تعداد مشاهده مقاله6,262,002
تعداد دریافت فایل اصل مقاله5,425,571
Ahmadinouri, Fatemeh, Parvin, Parviz, Rabbani, Ahmad Reza. (1404). SARA fraction measurements of Persian Gulf crude oil using LIF spectroscopy based on analysis of variance (ANOVA). نشریه مهندسی عمران امیرکبیر, 1(1), 21-27. doi: 10.22060/aest.2025.5747
Fatemeh Ahmadinouri; Parviz Parvin; Ahmad Reza Rabbani. "SARA fraction measurements of Persian Gulf crude oil using LIF spectroscopy based on analysis of variance (ANOVA)". نشریه مهندسی عمران امیرکبیر, 1, 1, 1404, 21-27. doi: 10.22060/aest.2025.5747
Ahmadinouri, Fatemeh, Parvin, Parviz, Rabbani, Ahmad Reza. (1404). 'SARA fraction measurements of Persian Gulf crude oil using LIF spectroscopy based on analysis of variance (ANOVA)', نشریه مهندسی عمران امیرکبیر, 1(1), pp. 21-27. doi: 10.22060/aest.2025.5747
Ahmadinouri, Fatemeh, Parvin, Parviz, Rabbani, Ahmad Reza. SARA fraction measurements of Persian Gulf crude oil using LIF spectroscopy based on analysis of variance (ANOVA). نشریه مهندسی عمران امیرکبیر, 1404; 1(1): 21-27. doi: 10.22060/aest.2025.5747

SARA fraction measurements of Persian Gulf crude oil using LIF spectroscopy based on analysis of variance (ANOVA)

Advances in Energy Sciences and Technologies
دوره 1، شماره 1، شهریور 2025، صفحه 21-27    اصل مقاله (1.22 M)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22060/aest.2025.5747
نویسندگان
Fatemeh Ahmadinouri1؛ Parviz Parvin* 2؛ Ahmad Reza Rabbani3
1Department of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), P.O. Box 15875-4413, Tehran, Iran
2a Department of Energy Engineering and Physics, Amirkabir University of Technology (Tehran Polytechnic), P.O. Box 15875-4413, Tehran, Iran
3Petroleum Engineering Department, Amirkabir University of Technology (Tehran Polytechnic), P.O. Box 15875-4413, Tehran, Iran.
چکیده
Crude oil is typically categorized into four main fractions: saturates, aromatics, resins, and asphaltenes, collectively referred to as SARA. To enable the rapid identification of these fractions, a novel on-site approach is introduced based on laser-induced fluorescence (LIF) spectroscopy. This method utilizes both the solvent (with dichloromethane, DCM) densitometry and quantum efficiency as key analytical parameters. Several crude oil samples are analyzed from different oilfields in the Persian Gulf, with optical parameters of interest i.e., peak concentration (Cp) and quantum efficiency (QE) giving by the experimental data. The relation between these parameters and crude oil fractions is attested through analysis of variance (ANOVA). Then, the predictive statistical models are developed to estimate the values of the crude oil fractions. The findings demonstrate that these predictive models exhibit high accuracy compared to the standard methods (ASTM D 6560 & ASTM D 4124). In fact, the proposed technique significantly reduces the testing time to less than 30 minutes.
کلیدواژه‌ها
Laser induced fluorescence؛ Crude oil؛ SARA؛ Persian Gulf؛ Quantum efficiency
آمار
تعداد مشاهده مقاله: 132
تعداد دریافت فایل اصل مقاله: 57


سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب