Modelling mist flow for investigating liquid loading in gas wells

Amieibibama Joseph* (Corresponding Author), Peter D. Hicks

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents a dynamic simulation approach to investigating liquid loading in gas wells for a fluid flowing in the mist flow regime. Two-component gas-liquid two-phase flow is considered, using coupled thermodynamic and hydrodynamic models as well as constitutive equations that incorporate the Peng-Robinson equation of state and the convex hull algorithm. The behaviour of the flow properties is investigated as phase change occur during flow. The accumulation of liquids is explored by investigating the distribution of the liquid density in the tubing, which is explicitly determined from the flow variables. The calculated phase densities are validated using data obtained from NIST RefProp and the results show good agreement. This procedure can provide substantial benefits in investigating the phenomena of liquid loading in gas wells compared to critical velocity predicting models that determine the stagnation velocity under isothermal conditions.

Original languageEnglish
Pages (from-to)476-484
Number of pages9
JournalJournal of Petroleum Science and Engineering
Volume170
Early online date18 Jun 2018
DOIs
Publication statusPublished - 30 Nov 2018

Fingerprint

Fog
gas well
liquid
Liquids
Gases
modeling
Density of liquids
Tubing
Constitutive equations
Equations of state
Two phase flow
constitutive equation
two phase flow
hull
Hydrodynamics
equation of state
Thermodynamics
thermodynamics
hydrodynamics
Fluids

Keywords

  • Convex hull
  • Gas well
  • Liquid loading
  • Mist flow
  • Peng-Robinson EOS
  • Phase change

ASJC Scopus subject areas

  • Fuel Technology
  • Geotechnical Engineering and Engineering Geology

Cite this

Modelling mist flow for investigating liquid loading in gas wells. / Joseph, Amieibibama (Corresponding Author); Hicks, Peter D.

In: Journal of Petroleum Science and Engineering, Vol. 170, 30.11.2018, p. 476-484.

Research output: Contribution to journalArticle

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