Modelling of electrical submersible pumps for petroleum multiphase fluids, an intelligent approach supported by a critical review and experimental results

M. Mohammadzaheri; R. Tafreshi; Z. Khan; H. Ziaiefar; M. Ghodsi; M. Franchek; K. Grigoriadis

doi:10.24200/tjer.vol16iss2pp77-86

Modelling of electrical submersible pumps for petroleum multiphase fluids, an intelligent approach supported by a critical review and experimental results

M. Mohammadzaheri^*
, R. Tafreshi
, Z. Khan
, H. Ziaiefar
, M. Ghodsi
, M. Franchek
, K. Grigoriadis

^*Corresponding author for this work

Sultan Qaboos University
Texas A&M University at Qatar
University of Houston

Research output: Contribution to journal › Article › peer-review

6 Citations (SciVal)

Original language	English
Pages (from-to)	77-86
Number of pages	10
Journal	Journal of Engineering Research
Volume	16
Issue number	2
DOIs	https://doi.org/10.24200/tjer.vol16iss2pp77-86
Publication status	Published (VoR) - 2019

Funding

This work was supported by NPRP grant from the Qatar National Research Fund (a member of Qatar Foundation), grant number is 7-1114-2-415.

Keywords

Cascade artificial neural networks
Electrical submersible pumps
Empirical models
Multiphase petroleum fluid

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10.24200/tjer.vol16iss2pp77-86

Cite this

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title = "Modelling of electrical submersible pumps for petroleum multiphase fluids, an intelligent approach supported by a critical review and experimental results",

keywords = "Cascade artificial neural networks, Electrical submersible pumps, Empirical models, Multiphase petroleum fluid",

author = "M. Mohammadzaheri and R. Tafreshi and Z. Khan and H. Ziaiefar and M. Ghodsi and M. Franchek and K. Grigoriadis",

note = "Funding Information: This work was supported by NPRP grant from the Qatar National Research Fund (a member of Qatar Foundation), grant number is 7-1114-2-415. Publisher Copyright: {\textcopyright} 2017 Journal of Engineering Research.",

year = "2019",

doi = "10.24200/tjer.vol16iss2pp77-86",

language = "English",

volume = "16",

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T1 - Modelling of electrical submersible pumps for petroleum multiphase fluids, an intelligent approach supported by a critical review and experimental results

AU - Mohammadzaheri, M.

AU - Tafreshi, R.

AU - Khan, Z.

AU - Ziaiefar, H.

AU - Ghodsi, M.

AU - Franchek, M.

AU - Grigoriadis, K.

N1 - Funding Information: This work was supported by NPRP grant from the Qatar National Research Fund (a member of Qatar Foundation), grant number is 7-1114-2-415. Publisher Copyright: © 2017 Journal of Engineering Research.

PY - 2019

Y1 - 2019

KW - Cascade artificial neural networks

KW - Electrical submersible pumps

KW - Empirical models

KW - Multiphase petroleum fluid

UR - https://www.scopus.com/pages/publications/85077234227

UR - https://www.scopus.com/pages/publications/85077234227#tab=citedBy

U2 - 10.24200/tjer.vol16iss2pp77-86

DO - 10.24200/tjer.vol16iss2pp77-86

M3 - Article

AN - SCOPUS:85077234227

SN - 1726-6009

VL - 16

SP - 77

EP - 86

JO - Journal of Engineering Research

JF - Journal of Engineering Research

IS - 2

ER -

Modelling of electrical submersible pumps for petroleum multiphase fluids, an intelligent approach supported by a critical review and experimental results

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