Evaluation of crude oil property using intelligence tool: fuzzy model approach

Authors

  • Reza Abedini Department of Chemical Engineering, Faculty of Chemical Engineering, Tarbiat Modares University, Tehran
  • Morteza Esfandyari Department of Chemical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad
  • Amir Nezhadmoghadam Department of Chemical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad
  • Hooman Adib Department of Petroleum Engineering, Petroleum University of Technology, Ahwaz

DOI:

https://doi.org/10.3329/cerb.v15i1.7334

Keywords:

Viscosity, Correlation, Fuzzy model, undersaturated crude oil

Abstract

Viscosity is one of the most important governing parameters of the fluid flow, either in the porous media or in pipelines. So it is important to use an accurate method to calculate the oil viscosity at various operating conditions. In the literature, several empirical correlations have been proposed for predicting undersaturated crude oil viscosity. However these correlations are not able to predict the oil viscosity adequately for a wide range of conditions. In present work, an extensive experimental data of undersaturated oil viscosities from different samples of Iranian oil reservoirs was applied to develop a Fuzzy model to predict and calculate the undersaturated oil viscosity. Validity and accuracy of these models has been confirmed by comparing the obtained results of these correlations and with experimental data for Iranian oil samples. It was observed that there is acceptable agreement between Fuzzy model results with experimental data.

Key words: Viscosity; Correlation; Fuzzy model; undersaturated crude oil

DOI: http://dx.doi.org/10.3329/cerb.v15i1.7334

Chemical Engineering Research Bulletin 15 (2011) 30-33

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Published

2011-09-30

How to Cite

Abedini, R., Esfandyari, M., Nezhadmoghadam, A., & Adib, H. (2011). Evaluation of crude oil property using intelligence tool: fuzzy model approach. Chemical Engineering Research Bulletin, 15(1), 30–33. https://doi.org/10.3329/cerb.v15i1.7334

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