A Critical Review on Empirical Head-Predicting Models of Two-phase Petroleum Fluids in Electrical Submersible Pumps

Morteza Zaheri, Mojtaba Ghodsi

Research output: Contribution to journalReview articlepeer-review

Abstract

This paper critically reviews empirical models, which predict head of two-phase petroleum fluids in electrical submersible pumps. The article categorises empirical models in terms of mathematical structure and parameter identification algorithm. Categories are heuristic and artificial intelligence models. Models of the former category have fairly low accuracy and 4 or fewer parameters identifiable using non-iterative methods; conversely, models the of latter category have high accuracy and tens or even hundreds of parameters. These models require complex iterative
identification algorithms. Due to availability of inexpensive digital processors, use of accurate artificial intelligence models is anticipated to broaden
Original languageEnglish
JournalPetroleum & Petrochemical Engineering Journal
Volume2
Issue number4
DOIs
Publication statusPublished - 2018

Keywords

  • Electrical Submersible Pump
  • Petroleum
  • Multi-layer Perceptron
  • Head
  • Fuzzy

Cite this