01 مهر 1400

امیرعباس ایزدپناه

مرتبه علمی:
نشانی: دانشکده مهندسی نفت، گاز و پتروشیمی - گروه مهندسی شیمی
تحصیلات: مهندسی شیمی
تلفن:
دانشکده: دانشکده مهندسی نفت، گاز و پتروشیمی

مشخصات پژوهش

عنوان Experimental measurement and modeling study for estimation of wax disappearance temperature
نوع پژوهش مقالات در نشریات
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مجله JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY
شناسه DOI
پژوهشگران مجتبی منصورپور (نفر اول) ، رضا آذین (نفر دوم) ، شهریار عصفوری (نفر سوم) ، امیرعباس ایزدپناه (نفر چهارم)

چکیده

Wax deposition is a frequent problem in oil pipelines and down-stream industries. Correct prediction of wax formation conditions is required to prevent this phenomenon. In this study, wax appearance temperature (WAT) of 12 Iranian oil and condensate samples were measured using viscometry data and differential scanning Calorimetry (DSC) analysis. Also, a new empirical correlation and intelligent artificial neural network (ANN) model were developed to estimate wax disappearance temperature (WDT) of crude oils. Specific gravity, pressure, and molecular weight of oil sample were used as input variables for these models. The ANN model was trained using different hidden neurons and training algorithms. Experimental measurements studies were used for validation of the new correlation. Comparing the results indicated that the ANN model has 0.27% error while most thermodynamic models have an average error of 0.35% to 2.19%. Also, the proposed correlation can predict WDT with good accuracy and minimum input data. Results show that this correlation has a maximum error of 1.16% for 310 published experimental data and 1.19% for 9 Iranian samples.