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title

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

Credit to Download: 1 | Page Numbers 9 | Abstract Views: 39
Year: 2019
COI code: GPPCONF02_031
Paper Language: English

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

  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

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

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COI code: GPPCONF02_031

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Nazari, Mohadese; Parisa Parsamaram & Gholamreza Moradi, 2019, Fitting a mixed regression model for C7+ characterization of petroleum fluids, 2st National Conference on Gas and Petrochemical Processes, بجنورد, دانشگاه بجنورد - انجمن مهندسي شيمي ايران, https://www.civilica.com/Paper-GPPCONF02-GPPCONF02_031.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Nazari, Mohadese; Parisa Parsamaram & Gholamreza Moradi, 2019)
Second and more: (Nazari; Parsamaram & Moradi, 2019)
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Type: state university
Paper No.: 370
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