On leak detection of pipelines using computational pipeline monitoring

Kamal A.F. Moustafa, Samir A. Emam, Gamal M. Nawara, Hesham Elawady, Mohsen M. Fouad

Research output: Contribution to journalArticlepeer-review

Abstract

Pipeline leaks have a severely damaging impact on the pipeline operating company's public reputation. There is a need, therefore, to develop an effective leak diagnosis scheme in pipeline systems that can detect occurrence any leak in the system. A mathematical model that accounts for the behavior of pressure and flow-rate profiles in leaky pipeline systems is developed. Such a mathematical model is needed to better understand the dynamic behavior of the pipeline and its characteristics and for the detection the leaks. Computer simulation of pipeline conditions using the developed mathematical mode is provided. A leak detection scheme is developed that is based on a computational pipeline monitoring method. This method evaluates the mismatch between the actual variables and those of the healthy pipeline system. The pipeline conditions during normal operation were simulated and the system state variables were computed in real time based on simulated measurements collected at few selected locations along the pipeline. The underlying pipeline variables are estimated by applying Kalman filtering technique.

Original languageEnglish
Pages (from-to)34-44
Number of pages11
JournalJournal of Advanced Research in Dynamical and Control Systems
Volume3
Issue number1
Publication statusPublished - Nov 28 2011

Keywords

  • Kalman filtering
  • Leak detection
  • Modeling
  • Simulation

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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