Fitting a mixed regression model for C7+ characterization of petroleum fluids

Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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GPPCONF02_031

تاریخ نمایه سازی: 12 اردیبهشت 1399

Abstract:

Characterization methods of heptane-plus fractions (C7+) have a significanteffect on the phase equilibrium prediction of petroleum fluids and thereservoir simulations. C7+ characterization is encountered with majorproblems such as the limitation of available data and the wide range ofboiling points for reservoir fluids and crude oils. In the present work, anextensive statistical analysis was conducted on 900 experimental datapoints collected from different gas condensate and crude oil systems. Anew mixed linear regression model was proposed to characterize the C7+fractions by SG7+ as only available information with a good accuracy. Also,a different data set obtained from North Sea oil was utilized to evaluate themodel performance.

Keywords:

Petroleum fluids , Heptane-plus fractions , Characterization , The mixed linear regression model

Authors

Mohadese Nazari

Chemical Engineering Department, Esfarayen University of Technology, Esfarayen, North Khorasan, Iran

Parisa Parsamaram

Department of Statistics, Faculty of Science, Razi University, Kermanshah, Iran

Gholamreza Moradi

Chemical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran