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

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstrakt

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
OriginalsprogEngelsk
TitelProceedings of NSCM 31 : The 31st Nordic Seminar on Computational Mechanics 25-26 October
Antal sider4
ForlagNordic Association of Computational Mechanics
Publikationsdato2018
StatusUdgivet - 2018
Begivenhed31st Nordic Seminar on Computational Mechanics - Umeå, Sverige
Varighed: 25 okt. 201826 okt. 2018
Konferencens nummer: 31

Konference

Konference31st Nordic Seminar on Computational Mechanics
Nummer31
LandSverige
ByUmeå
Periode25/10/201826/10/2018

Emneord

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

Fingeraftryk

Dyk ned i forskningsemnerne om 'Slug detection in well-pipeline-riser systems through frequency monitoring'. Sammen danner de et unikt fingeraftryk.

Citationsformater