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

Abstract

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

Conference

Conference31st Nordic Seminar on Computational Mechanics
Number31
CountrySweden
CityUmeå
Period25/10/201826/10/2018

Fingerprint

Pipelines
Multiphase flow
Monitoring
Offshore pipelines
Vibration measurement
Sea level
Accelerometers
Numerical models
Volume fraction
Gases
Water

Keywords

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

Cite this

Klockmann, L. B., Hansen, T. N., Pedersen, S., & Ulriksen, M. D. (2018). Slug detection in well-pipeline-riser systems through frequency monitoring. In Proceedings of NSCM 31: The 31st Nordic Seminar on Computational Mechanics 25-26 October Nordic Association of Computational Mechanics.
Klockmann, Lasse Bolther ; Hansen, Tommi Navntoft ; Pedersen, Simon ; Ulriksen, Martin Dalgaard. / Slug detection in well-pipeline-riser systems through frequency monitoring. Proceedings of NSCM 31: The 31st Nordic Seminar on Computational Mechanics 25-26 October. Nordic Association of Computational Mechanics, 2018.
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Klockmann, LB, Hansen, TN, Pedersen, S & Ulriksen, MD 2018, Slug detection in well-pipeline-riser systems through frequency monitoring. in Proceedings of NSCM 31: The 31st Nordic Seminar on Computational Mechanics 25-26 October. Nordic Association of Computational Mechanics, 31st Nordic Seminar on Computational Mechanics, Umeå, Sweden, 25/10/2018.

Slug detection in well-pipeline-riser systems through frequency monitoring. / Klockmann, Lasse Bolther; Hansen, Tommi Navntoft; Pedersen, Simon; Ulriksen, Martin Dalgaard.

Proceedings of NSCM 31: The 31st Nordic Seminar on Computational Mechanics 25-26 October. Nordic Association of Computational Mechanics, 2018.

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

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T1 - Slug detection in well-pipeline-riser systems through frequency monitoring

AU - Klockmann, Lasse Bolther

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AU - Pedersen, Simon

AU - Ulriksen, Martin Dalgaard

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N2 - 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

AB - 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

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KW - Vibration analysis

KW - Continuous wavelet transformation

KW - Fluid-structure interaction

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KW - Vibration analysis

KW - Continuous wavelet transformation

KW - Fluid-structure interaction

M3 - Article in proceeding

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Klockmann LB, Hansen TN, Pedersen S, Ulriksen MD. Slug detection in well-pipeline-riser systems through frequency monitoring. In Proceedings of NSCM 31: The 31st Nordic Seminar on Computational Mechanics 25-26 October. Nordic Association of Computational Mechanics. 2018