Surface Wetting in Multiphase Pipe-Flow

Jakob Roar Bentzon*, Attila Vural, Karen Louise Feilberg, Jens Honore Walther

*Corresponding author for this work

Research output: Contribution to conferencePaperResearchpeer-review

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Abstract

The present study examines the quantity of surface wetting in a two-phase oil and water pipe flow. The study is performed by employing an Eulerian-Eulerian CFD model using the S-gamma droplet size distribution model within Star–CCM+. In the North Sea production of oil and gas, water-phase surface processes such as scale and corrosion account for more than 40–50% of operating expenses. The objective of the model is to investigate best practices for the prediction of phase distribution aimed at evaluating the degree of the wall in contact with the water phase (water-wetting). The model is validated by performing detailed numerical simulations corresponding to the experimental studies by Kumara et al. (2009). The comparison yields good agreement with the observed measurements with slight over-prediction of the dispersion rate but accurately describing liquid holdup. The surface wetting is then evaluated with its interdependence with liquid holdup and dispersion rate.
Original languageEnglish
Publication date2019
Number of pages9
Publication statusPublished - 2019
Event10th International Conference on Multiphase Flow (ICMF 2019) - Rio de Janeiro, Brazil
Duration: 19 May 201914 Jun 2019
Conference number: 10
http://www.icmf2019.com.br/

Conference

Conference10th International Conference on Multiphase Flow (ICMF 2019)
Number10
CountryBrazil
CityRio de Janeiro
Period19/05/201914/06/2019
Internet address

Cite this

Bentzon, J. R., Vural, A., Feilberg, K. L., & Walther, J. H. (2019). Surface Wetting in Multiphase Pipe-Flow. Paper presented at 10th International Conference on Multiphase Flow (ICMF 2019), Rio de Janeiro, Brazil.
Bentzon, Jakob Roar ; Vural, Attila ; Feilberg, Karen Louise ; Walther, Jens Honore. / Surface Wetting in Multiphase Pipe-Flow. Paper presented at 10th International Conference on Multiphase Flow (ICMF 2019), Rio de Janeiro, Brazil.9 p.
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abstract = "The present study examines the quantity of surface wetting in a two-phase oil and water pipe flow. The study is performed by employing an Eulerian-Eulerian CFD model using the S-gamma droplet size distribution model within Star–CCM+. In the North Sea production of oil and gas, water-phase surface processes such as scale and corrosion account for more than 40–50{\%} of operating expenses. The objective of the model is to investigate best practices for the prediction of phase distribution aimed at evaluating the degree of the wall in contact with the water phase (water-wetting). The model is validated by performing detailed numerical simulations corresponding to the experimental studies by Kumara et al. (2009). The comparison yields good agreement with the observed measurements with slight over-prediction of the dispersion rate but accurately describing liquid holdup. The surface wetting is then evaluated with its interdependence with liquid holdup and dispersion rate.",
author = "Bentzon, {Jakob Roar} and Attila Vural and Feilberg, {Karen Louise} and Walther, {Jens Honore}",
year = "2019",
language = "English",
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Bentzon, JR, Vural, A, Feilberg, KL & Walther, JH 2019, 'Surface Wetting in Multiphase Pipe-Flow', Paper presented at 10th International Conference on Multiphase Flow (ICMF 2019), Rio de Janeiro, Brazil, 19/05/2019 - 14/06/2019.

Surface Wetting in Multiphase Pipe-Flow. / Bentzon, Jakob Roar; Vural, Attila ; Feilberg, Karen Louise; Walther, Jens Honore.

2019. Paper presented at 10th International Conference on Multiphase Flow (ICMF 2019), Rio de Janeiro, Brazil.

Research output: Contribution to conferencePaperResearchpeer-review

TY - CONF

T1 - Surface Wetting in Multiphase Pipe-Flow

AU - Bentzon, Jakob Roar

AU - Vural, Attila

AU - Feilberg, Karen Louise

AU - Walther, Jens Honore

PY - 2019

Y1 - 2019

N2 - The present study examines the quantity of surface wetting in a two-phase oil and water pipe flow. The study is performed by employing an Eulerian-Eulerian CFD model using the S-gamma droplet size distribution model within Star–CCM+. In the North Sea production of oil and gas, water-phase surface processes such as scale and corrosion account for more than 40–50% of operating expenses. The objective of the model is to investigate best practices for the prediction of phase distribution aimed at evaluating the degree of the wall in contact with the water phase (water-wetting). The model is validated by performing detailed numerical simulations corresponding to the experimental studies by Kumara et al. (2009). The comparison yields good agreement with the observed measurements with slight over-prediction of the dispersion rate but accurately describing liquid holdup. The surface wetting is then evaluated with its interdependence with liquid holdup and dispersion rate.

AB - The present study examines the quantity of surface wetting in a two-phase oil and water pipe flow. The study is performed by employing an Eulerian-Eulerian CFD model using the S-gamma droplet size distribution model within Star–CCM+. In the North Sea production of oil and gas, water-phase surface processes such as scale and corrosion account for more than 40–50% of operating expenses. The objective of the model is to investigate best practices for the prediction of phase distribution aimed at evaluating the degree of the wall in contact with the water phase (water-wetting). The model is validated by performing detailed numerical simulations corresponding to the experimental studies by Kumara et al. (2009). The comparison yields good agreement with the observed measurements with slight over-prediction of the dispersion rate but accurately describing liquid holdup. The surface wetting is then evaluated with its interdependence with liquid holdup and dispersion rate.

M3 - Paper

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Bentzon JR, Vural A, Feilberg KL, Walther JH. Surface Wetting in Multiphase Pipe-Flow. 2019. Paper presented at 10th International Conference on Multiphase Flow (ICMF 2019), Rio de Janeiro, Brazil.