Slug detection in well-pipeline-riser systems through frequency monitoring

Lasse Bolther Klockmann, Tommi Navntoft Hansen, Simon Pedersen, Martin Dalgaard Ulriksen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review


A lot of effort is dedicated to monitoring the flow properties in offshore pipelines through measurements at the riser section above sea level, where equipment installation and maintenance are cheaper and easier. However, the multi-phase flow in the pipelines is hard to monitor due to the rapid fluctuation in gas volume fraction (GVF) and varying water cut. This paper presents a new, simple approach that offers flow monitoring through the frequency content in vibration measurements captured by installed accelerometers. Particularly, the methodological premise is to extract flow-induced vibrations from the total vibration response, which, besides the flow, is induced by external excitation from wind, waves and current. The distinguishment between the vibration sources is conducted by use of continues wavelet transformation (CWT), which provides information about the frequency shifts and at what time in-stances they occur. When monitoring the multi-phase flow, the structural information gained from the CWT is then coupled to the flow properties through well-established analytical laws and numerical models
Original languageEnglish
Title of host publicationProceedings of NSCM 31 : The 31st Nordic Seminar on Computational Mechanics 25-26 October
Number of pages4
PublisherNordic Association of Computational Mechanics
Publication date2018
Publication statusPublished - 2018
Event31st Nordic Seminar on Computational Mechanics - Umeå, Sweden
Duration: 25 Oct 201826 Oct 2018
Conference number: 31


Conference31st Nordic Seminar on Computational Mechanics


  • Slug detection
  • Vibration analysis
  • Continuous wavelet transformation
  • Fluid-structure interaction


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