Development of a Fuzzy Model to Estimate the Head of Gaseous Petroleum Fluids Driven by Electrical Submersible Pumps

Morteza Zaheri, A. AlQallaf, Mojtaba Ghodsi, H. Ziaiefar

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper proposes a fuzzy model to estimate the head of gaseous petroleum fluids (GPFs) driven by electrical submersible pumps (ESPs). The proposed fuzzy model is an alternative to widely used empirical models. Numerical and analytical models have been also proposed to estimate heads of GPFs in ESPs, which have failed to reliably serve the function. The developed fuzzy model evidently outperforms comparable empirical models in terms of accuracy and presents a mean absolute estimation error of 52.4% less than the most accurate existing empirical model.

Original languageEnglish
Pages (from-to)99-106
Number of pages8
JournalFuzzy Information and Engineering
Volume10
Issue number1
DOIs
Publication statusPublished - Jan 2 2018

Keywords

  • ESP
  • estimation
  • fuzzy
  • gaseous
  • head
  • model
  • petroleum

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Control and Systems Engineering
  • Information Systems
  • Logic
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Applied Mathematics

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