Analysis of production logging data to develop a model to predict pressure drop in perforated gas condensate wells

H. M. Firoozabadi, K. Rahimzade, P. Pourafshary, M. Edalat

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Accurate prediction of pressure drop in perforated wells with a high fluid flow rate is a challenge in production engineering calculations. In this study, production logging data obtained from an Iranian gas condensate field were analyzed to develop a model to predict the pressure drop in perforated wells. To calculate the pressure drop due to the friction in the perforated section of the wall, a relation between perforation friction factor, pipe and wall Reynolds number, and Moody friction factor was developed by means of nonlinear regression. Perforation effects were also considered in total pressure drop, which occur due to the mixing of axial and radial momentum fluxes in the perforated section. The results predicted by our developed model showed good agreement with the measured production logging data from the studied field within 14% error. This model can be used to accurately estimate the well performance curve.

Original languageEnglish
Pages (from-to)1722-1732
Number of pages11
JournalPetroleum Science and Technology
Volume29
Issue number16
DOIs
Publication statusPublished - Jan 1 2011
Externally publishedYes

Fingerprint

Gas condensates
gas condensate
pressure drop
Pressure drop
well
friction
perforation
Friction
Production engineering
Reynolds number
fluid flow
Flow of fluids
momentum
Momentum
pipe
Pipe
Flow rate
Fluxes
engineering
analysis

Keywords

  • friction factor
  • gas condensate
  • perforated pipe
  • production logging tool (PLT)
  • production services platform (PSP)

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)
  • Fuel Technology
  • Geotechnical Engineering and Engineering Geology
  • Energy Engineering and Power Technology

Cite this

Analysis of production logging data to develop a model to predict pressure drop in perforated gas condensate wells. / Firoozabadi, H. M.; Rahimzade, K.; Pourafshary, P.; Edalat, M.

In: Petroleum Science and Technology, Vol. 29, No. 16, 01.01.2011, p. 1722-1732.

Research output: Contribution to journalArticle

@article{6785c577d351439baf12f6e21fddb76a,
title = "Analysis of production logging data to develop a model to predict pressure drop in perforated gas condensate wells",
abstract = "Accurate prediction of pressure drop in perforated wells with a high fluid flow rate is a challenge in production engineering calculations. In this study, production logging data obtained from an Iranian gas condensate field were analyzed to develop a model to predict the pressure drop in perforated wells. To calculate the pressure drop due to the friction in the perforated section of the wall, a relation between perforation friction factor, pipe and wall Reynolds number, and Moody friction factor was developed by means of nonlinear regression. Perforation effects were also considered in total pressure drop, which occur due to the mixing of axial and radial momentum fluxes in the perforated section. The results predicted by our developed model showed good agreement with the measured production logging data from the studied field within 14{\%} error. This model can be used to accurately estimate the well performance curve.",
keywords = "friction factor, gas condensate, perforated pipe, production logging tool (PLT), production services platform (PSP)",
author = "Firoozabadi, {H. M.} and K. Rahimzade and P. Pourafshary and M. Edalat",
year = "2011",
month = "1",
day = "1",
doi = "10.1080/10916461003620420",
language = "English",
volume = "29",
pages = "1722--1732",
journal = "Petroleum Science and Technology",
issn = "1091-6466",
publisher = "Taylor and Francis",
number = "16",

}

TY - JOUR

T1 - Analysis of production logging data to develop a model to predict pressure drop in perforated gas condensate wells

AU - Firoozabadi, H. M.

AU - Rahimzade, K.

AU - Pourafshary, P.

AU - Edalat, M.

PY - 2011/1/1

Y1 - 2011/1/1

N2 - Accurate prediction of pressure drop in perforated wells with a high fluid flow rate is a challenge in production engineering calculations. In this study, production logging data obtained from an Iranian gas condensate field were analyzed to develop a model to predict the pressure drop in perforated wells. To calculate the pressure drop due to the friction in the perforated section of the wall, a relation between perforation friction factor, pipe and wall Reynolds number, and Moody friction factor was developed by means of nonlinear regression. Perforation effects were also considered in total pressure drop, which occur due to the mixing of axial and radial momentum fluxes in the perforated section. The results predicted by our developed model showed good agreement with the measured production logging data from the studied field within 14% error. This model can be used to accurately estimate the well performance curve.

AB - Accurate prediction of pressure drop in perforated wells with a high fluid flow rate is a challenge in production engineering calculations. In this study, production logging data obtained from an Iranian gas condensate field were analyzed to develop a model to predict the pressure drop in perforated wells. To calculate the pressure drop due to the friction in the perforated section of the wall, a relation between perforation friction factor, pipe and wall Reynolds number, and Moody friction factor was developed by means of nonlinear regression. Perforation effects were also considered in total pressure drop, which occur due to the mixing of axial and radial momentum fluxes in the perforated section. The results predicted by our developed model showed good agreement with the measured production logging data from the studied field within 14% error. This model can be used to accurately estimate the well performance curve.

KW - friction factor

KW - gas condensate

KW - perforated pipe

KW - production logging tool (PLT)

KW - production services platform (PSP)

UR - http://www.scopus.com/inward/record.url?scp=79960661946&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960661946&partnerID=8YFLogxK

U2 - 10.1080/10916461003620420

DO - 10.1080/10916461003620420

M3 - Article

AN - SCOPUS:79960661946

VL - 29

SP - 1722

EP - 1732

JO - Petroleum Science and Technology

JF - Petroleum Science and Technology

SN - 1091-6466

IS - 16

ER -