Numerical study of pipeline leak detection for gas-liquid stratified flow

Mutiu Adesina Adegboye, Aditya Karnik*, Wai Keung Fung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)
8 Downloads (Pure)

Abstract

Multiphase flows are of paramount importance in the oil and gas industry, considering that most petroleum industries produce and transport oil and gas simultaneously. However, systematic research on pipeline leakage conveying more than one phase at a time is lacking attention. In this work, a numerical method is proposed to investigate the effect of two-phase gas-liquid leak flow behaviour in a subsea natural gas pipeline. The results of the simulations have been validated against the latest experimental and numerical data reported in the literature, and a good agreement has been obtained. The effect of leak sizes, longitudinal leak locations, multiple leakages and axial leak positions on the pressure gradient, flow rate and volume fractions in the pipeline were systematically investigated. The results show that the flow field parameters provide pertinent indicators in pipeline leakage detection. In particular, the upstream pipeline pressure could serve as a critical indicator for detecting leakage even if the leak size is small. Whereas, the downstream flow rate is a dominant leakage indicator if the flow rate monitoring is chosen for leak detection. The results also reveal that when two leaks with different sizes co-occur in a single pipe, detecting the small leak becomes difficult if its size is below 25% of the large leak size. However, in the event of a double leak with equal sizes, the leak closer to the pipe upstream is easier to detect.

Original languageEnglish
Article number104054
JournalJournal of Natural Gas Science and Engineering
Volume94
Early online date8 Jun 2021
DOIs
Publication statusPublished - 26 Jul 2021

Keywords

  • Loss prevention
  • Multiphase flow
  • Natural gas transportation
  • Numerical simulation
  • Pipeline leak detection

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