مقاله Comparison of Distribution Functions for Characterization of C7+ Fraction in One of Iranian Oil Field با word
مقاله Comparison of Distribution Functions for Characterization of C7+ Fraction in One of Iranian Oil Field با word دارای 7 صفحه می باشد و دارای تنظیمات در microsoft word می باشد و آماده پرینت یا چاپ است
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توجه : در صورت مشاهده بهم ریختگی احتمالی در متون زیر ،دلیل ان کپی کردن این مطالب از داخل فایل ورد می باشد و در فایل اصلی مقاله Comparison of Distribution Functions for Characterization of C7+ Fraction in One of Iranian Oil Field با word،به هیچ وجه بهم ریختگی وجود ندارد
بخشی از متن مقاله Comparison of Distribution Functions for Characterization of C7+ Fraction in One of Iranian Oil Field با word :
سال انتشار: 1393
محل انتشار: سومین کنفرانس علمی مهندسی مخازن هیدروکربوری و صنایع بالادستی
تعداد صفحات: 7
چکیده:
In characterization of wide boiling range heptane plus (C7+) fractions in addition to bulk properties such as molecular weight (MW), specific gravity (SG), etc., properties distribution is also required. Bulk properties can be measured easily but determination of properties distribution is more costly and time consuming. So the characterization methods is used for determining the properties distribution. Methods selected for the characterization of reservoir fluids have significant impact on the estimation of physical properties and phase behavior needed in reservoir simulation for petroleum production. Characterization of reservoir fluids involves representing the fluid as a continuous, semi-continuous mixture or through a number of components/pseudocomponents with known basic characterization data. Understanding of various characterization schemes and their limitations is the key to selecting the right one in a reservoir simulator. The main objective of these paper is to compare the results of characterization methods for one of Iranian south oil field to determine the best method that is compactible with that reservoir fluid. The results show that all models can estimate the mole fraction distribution very close to the experimental data from C7 to C30+ but the average absolute error for single carbon number (SCN) model is lower than other models for this reservoir fluid.
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