Applying a Smart Technique for Accurate Determination of Flowing Oil-Water Pressure Gradient in Horizontal Pipelines

Mohammad Fazavi, Seyyed Mohsen Hosseini, Milad Arabloo, Amin Shokrollahi, Morteza Nouri-Taleghani, Mahmood Amani

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Two-phase flow of liquids in pipelines is crucial subject in many industries such as chemical and petroleum. Accurate prediction of pressure gradient will lead to a better design of an energy efficient transportation system. Although numerous studies for prediction of two-phase flowing pressure drop have been reported in the literature, the accurate prediction of this parameter has been a topic of debate in many research areas. In this article, a novel model based on least square support vector (LSSVM) was proposed for calculation of two-phase flowing pressure drop in horizontal pipes. The inputs of this model are oil and water superficial velocities, pipe diameter, pipe roughness, and oil viscosity. To develop and test the model, more than 700 experimental dataset from open literature were utilized. The results of proposed model were compared against the well-known empirical correlations. Statistical error analysis showed that the LSSVM model outperforms existing predictive models. Finally, an outlier diagnosis was performed to detect the doubtful experimental.

Original languageEnglish
Pages (from-to)882-888
Number of pages7
JournalJournal of Dispersion Science and Technology
Volume35
Issue number6
DOIs
Publication statusPublished - Jun 2014

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Keywords

  • Correlations
  • LSSVM
  • outlier
  • pressure gradient
  • two-phase flow

ASJC Scopus subject areas

  • Physical and Theoretical Chemistry
  • Surfaces, Coatings and Films
  • Polymers and Plastics

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