Network modelling and prediction of retrograde gas behaviour in natural gas pipeline systems

Tianying Jin, Luis F. Ayala H, M. Thaddeus Ityokumbul

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

As retrograde gases are transported through pipeline systems, retrograde condensation may occur. The presence of this additional liquid phase is responsible for additional pressure losses in natural gas surface production systems. Gases and liquids have markedly different routing behaviour when moving concurrently through a network system and the determination of their distribution within the network is of vital importance for retrograde gas surface transportation operations. This study is aimed at developing and testing an analytical tool that predicts phase behaviour of retrograde gas in natural gas pipeline systems. This tool will allow operators to make better decisions regarding liquid phase removal from the network, pressure loss mitigation, design and location of surface production and separation equipment with an accurate map of the pressure, phase distribution and phase property inside the network. The proposed network model for retrograde gas is able to handle realistic field situations and allows the user to effectively track liquid and gas preferential routing within the network and provide guidance for improving the performance of the entire gas pipeline system.

Original languageEnglish (US)
Pages (from-to)169-182
Number of pages14
JournalInternational Journal of Engineering Systems Modelling and Simulation
Volume8
Issue number3
DOIs
StatePublished - Jan 1 2016

Fingerprint

Natural gas pipelines
Natural Gas
Network Modeling
Prediction
Gases
Liquid
Liquids
Routing
Gas pipelines
Phase behavior
Production Systems
Gas
Condensation
Natural gas
Network Model
Pipelines
Guidance
Entire
Predict
Testing

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Engineering(all)

Cite this

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Network modelling and prediction of retrograde gas behaviour in natural gas pipeline systems. / Jin, Tianying; Ayala H, Luis F.; Ityokumbul, M. Thaddeus.

In: International Journal of Engineering Systems Modelling and Simulation, Vol. 8, No. 3, 01.01.2016, p. 169-182.

Research output: Contribution to journalArticle

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