Research Article
BibTex RIS Cite

Detection of Two-Phase Slug Flow Film Thickness by Ultrasonic Reflection

Year 2024, Volume: 6 Issue: 4, 237 - 248, 30.11.2024
https://doi.org/10.51537/chaos.1539877

Abstract

Slug flow is a common phenomenon in closed pipes, occurring in two-phase flow where liquid and gas phases mix, impacting the custody transfer or the efficiency of chemical reactions. This study aims to detect and analyze slug flow film thickness in two-phase flow, providing detailed structural flow information. The ultrasonic or Doppler reflection method is employed to identify slug flow and detect detailed thickness. Additionally, electrical resistance tomography (ERT) is used to image and confirm the presence of slug flow. A high-speed camera records the slug flow's shape in real time, validating its existence. The ultrasonic reflection method offers high accuracy, with a measurement error rate of less than 1% based on experimental results. The study uses a homogeneous block calibration method to measure slug flow thickness. Graphical results reveal clear differences between the slug flow regime, inner pipe wall, and outer pipe wall, with the first echo of slug flow being easily observable. The accuracy of results is attributed to the combination of FPGA (Field-Programmable-Gate-Array) instruments and measurement methods, showcasing the study's novel approach. This research introduces a new perspective or novelty on slug flow in multiphase flow studies, highlighting an innovative method for detecting film thickness.

Supporting Institution

LPDP FUND INDONESIA

Thanks

BESISWA PENDIDIKAN INDONESIA

References

  • Al-Safran, E., 2009 Investigation and prediction of slug frequency in gas/liquid horizontal pipe flow. Journal of Petroleum Science and Engineering 69: 143–155.
  • Bao, Y., C. Tan, and F. Dong, 2022 Oil–water two-phase flow volume fraction measurement based on nonlinear ultrasound technique. IEEE Transactions on Instrumentation and Measurement 71: 1–9.
  • Brinckerhoff, M., 2018 Comparison of electrical impedance tomography reconstruction algorithms with eidors reconstruction software.
  • Demidenko, E., A. Borsic, Y. Wan, R. J. Halter, and A. Hartov, 2011 Statistical estimation of eit electrode contact impedance using a magic toeplitz matrix. IEEE Transactions on Biomedical Engineering 58: 2194–2201.
  • Deng, X., F. Dong, L. J. Xu, X. P. Liu, and L. A. Xu, 2001 The design of a dual-plane ert system for cross correlation measurement of bubbly gas/liquid pipe flow. Measurement Science and Technology 12: 1024–1031.
  • Falcone, G., G. F. Hewitt, and C. Alimonti, 2010 Multiphase flow metering. Elsevier.
  • Graham, B. M., 2007 Enhancements in electrical impedance tomography (eit) image reconstruction for three-dimensional lung imaging.
  • Hitomi, J., S. Nomura, Y. Murai, G. De Cesare, Y. Tasaka, et al., 2021 Measurement of the inner structure of turbidity currents by ultrasound velocity profiling. International Journal of Multiphase Flow 136: 103540.
  • Lin, P. Y. and T. J. Hanratty, 1987 Detection of slug flow from pressure measurements. International Journal of Multiphase Flow 13: 13–21.
  • Liu, B., B. Yang, C. Xu, J. Xia, M. Dai, et al., 2018a pyeit: A python based framework for electrical impedance tomography. SoftwareX 7: 304–308.
  • Liu,W., C. Tan, X. Dong, F. Dong, and Y. Murai, 2018b Dispersed oil–water two-phase flow measurement based on pulse-wave ultrasonic doppler coupled with electrical sensors. IEEE Transactions on Instrumentation and Measurement 67: 2129–2142.
  • Nnabuife, S., B. Kuang, J. Whidborne, and Z. Rana, 2020 Nonintrusive classification of gas-liquid flow regimes in an s-shaped pipeline riser using a doppler ultrasonic sensor and deep neural networks. Chemical Engineering Journal 403: 126401.
  • Nnabuife, S., K. E. Pilario, L. Lao, Y. Cao, and M. Shafiee, 2019 Identification of gas-liquid flow regimes using a non-intrusive doppler ultrasonic sensor and virtual flow regime maps. Flow Measurement and Instrumentation 68.
  • Obayashi, H., Y. Tasaka, S. Kon, and Y. Takeda, 2008 Velocity vector profile measurement using multiple ultrasonic transducers. Flow Measurement and Instrumentation 19: 189–195.
  • Ruan, T., 2016 Development of an automated impedance tomography system and its implementation in cementitious materials.
  • Shimomoto, Y., K. Ikeda, H. Ogawa, Y. Nakatsu, and I. Yamamoto, 2021 Detection of slug flow generated in horizontal pipeline. Sensors and Materials 33: 947.
  • Somersalo, E., M. Cheney, and D. Isaacson, 1992 Existence and uniqueness for electrode models for electric current computed tomography. SIAM Journal on Applied Mathematics 52: 1023– 1040.
  • Tiwari, N. and Y. Murai, 2021 Ultrasonic velocity profiler applied to explore viscosity–pressure fields and their coupling in inelastic shear-thinning vortex streets. Experiments in Fluids 62: 185.
  • Villarreal, J., D. Laverde, and C. Fuentes, 2006 Carbon-steel corrosion in multiphase slug flow and co2. Corrosion Science 48: 2363–2379.
  • Wang, S.-Q., K.-W. Xu, and H.-B. Kim, 2019 Slug flow identification using ultrasound doppler velocimetry. International Journal of Heat and Mass Transfer 148: 119004.
  • Weiling, L., C. Tan, and F. Dong, 2021 Doppler spectrum analysis and flow pattern identification of oil-water two-phase flow using dual-modality sensor. Flow Measurement and Instrumentation 77: 101861.
  • Zhai, L., H. Xia, H. Xie, and J. Yang, 2021 Structure detection of horizontal gas–liquid slug flow using ultrasonic transducer and conductance sensor. IEEE Transactions on Instrumentation and Measurement 70: 1–10.
  • Zhai, L., B. Xu, H. Xia, and N. Jin, 2023 Simultaneous measurement of velocity profile and liquid film thickness in horizontal gas–liquid slug flow by using ultrasonic doppler method. Chinese Journal of Chemical Engineering 58: 323–340.
  • Zhang, H., F. Dong, and C. Tan, 2022 Liquid–solid two-phase flow rate measurement by electrical and ultrasound doppler sensors. IEEE Transactions on Instrumentation and Measurement 71: 1–9.
Year 2024, Volume: 6 Issue: 4, 237 - 248, 30.11.2024
https://doi.org/10.51537/chaos.1539877

Abstract

References

  • Al-Safran, E., 2009 Investigation and prediction of slug frequency in gas/liquid horizontal pipe flow. Journal of Petroleum Science and Engineering 69: 143–155.
  • Bao, Y., C. Tan, and F. Dong, 2022 Oil–water two-phase flow volume fraction measurement based on nonlinear ultrasound technique. IEEE Transactions on Instrumentation and Measurement 71: 1–9.
  • Brinckerhoff, M., 2018 Comparison of electrical impedance tomography reconstruction algorithms with eidors reconstruction software.
  • Demidenko, E., A. Borsic, Y. Wan, R. J. Halter, and A. Hartov, 2011 Statistical estimation of eit electrode contact impedance using a magic toeplitz matrix. IEEE Transactions on Biomedical Engineering 58: 2194–2201.
  • Deng, X., F. Dong, L. J. Xu, X. P. Liu, and L. A. Xu, 2001 The design of a dual-plane ert system for cross correlation measurement of bubbly gas/liquid pipe flow. Measurement Science and Technology 12: 1024–1031.
  • Falcone, G., G. F. Hewitt, and C. Alimonti, 2010 Multiphase flow metering. Elsevier.
  • Graham, B. M., 2007 Enhancements in electrical impedance tomography (eit) image reconstruction for three-dimensional lung imaging.
  • Hitomi, J., S. Nomura, Y. Murai, G. De Cesare, Y. Tasaka, et al., 2021 Measurement of the inner structure of turbidity currents by ultrasound velocity profiling. International Journal of Multiphase Flow 136: 103540.
  • Lin, P. Y. and T. J. Hanratty, 1987 Detection of slug flow from pressure measurements. International Journal of Multiphase Flow 13: 13–21.
  • Liu, B., B. Yang, C. Xu, J. Xia, M. Dai, et al., 2018a pyeit: A python based framework for electrical impedance tomography. SoftwareX 7: 304–308.
  • Liu,W., C. Tan, X. Dong, F. Dong, and Y. Murai, 2018b Dispersed oil–water two-phase flow measurement based on pulse-wave ultrasonic doppler coupled with electrical sensors. IEEE Transactions on Instrumentation and Measurement 67: 2129–2142.
  • Nnabuife, S., B. Kuang, J. Whidborne, and Z. Rana, 2020 Nonintrusive classification of gas-liquid flow regimes in an s-shaped pipeline riser using a doppler ultrasonic sensor and deep neural networks. Chemical Engineering Journal 403: 126401.
  • Nnabuife, S., K. E. Pilario, L. Lao, Y. Cao, and M. Shafiee, 2019 Identification of gas-liquid flow regimes using a non-intrusive doppler ultrasonic sensor and virtual flow regime maps. Flow Measurement and Instrumentation 68.
  • Obayashi, H., Y. Tasaka, S. Kon, and Y. Takeda, 2008 Velocity vector profile measurement using multiple ultrasonic transducers. Flow Measurement and Instrumentation 19: 189–195.
  • Ruan, T., 2016 Development of an automated impedance tomography system and its implementation in cementitious materials.
  • Shimomoto, Y., K. Ikeda, H. Ogawa, Y. Nakatsu, and I. Yamamoto, 2021 Detection of slug flow generated in horizontal pipeline. Sensors and Materials 33: 947.
  • Somersalo, E., M. Cheney, and D. Isaacson, 1992 Existence and uniqueness for electrode models for electric current computed tomography. SIAM Journal on Applied Mathematics 52: 1023– 1040.
  • Tiwari, N. and Y. Murai, 2021 Ultrasonic velocity profiler applied to explore viscosity–pressure fields and their coupling in inelastic shear-thinning vortex streets. Experiments in Fluids 62: 185.
  • Villarreal, J., D. Laverde, and C. Fuentes, 2006 Carbon-steel corrosion in multiphase slug flow and co2. Corrosion Science 48: 2363–2379.
  • Wang, S.-Q., K.-W. Xu, and H.-B. Kim, 2019 Slug flow identification using ultrasound doppler velocimetry. International Journal of Heat and Mass Transfer 148: 119004.
  • Weiling, L., C. Tan, and F. Dong, 2021 Doppler spectrum analysis and flow pattern identification of oil-water two-phase flow using dual-modality sensor. Flow Measurement and Instrumentation 77: 101861.
  • Zhai, L., H. Xia, H. Xie, and J. Yang, 2021 Structure detection of horizontal gas–liquid slug flow using ultrasonic transducer and conductance sensor. IEEE Transactions on Instrumentation and Measurement 70: 1–10.
  • Zhai, L., B. Xu, H. Xia, and N. Jin, 2023 Simultaneous measurement of velocity profile and liquid film thickness in horizontal gas–liquid slug flow by using ultrasonic doppler method. Chinese Journal of Chemical Engineering 58: 323–340.
  • Zhang, H., F. Dong, and C. Tan, 2022 Liquid–solid two-phase flow rate measurement by electrical and ultrasound doppler sensors. IEEE Transactions on Instrumentation and Measurement 71: 1–9.
There are 24 citations in total.

Details

Primary Language English
Subjects Circuits and Systems, Electrical Engineering (Other), Mechanical Engineering (Other)
Journal Section Research Articles
Authors

Lalu Febrian Wiranata 0000-0002-5873-2971

Narendra Kurnia Putra This is me 0000-0001-9431-549X

Deddy Kurniadi This is me 0000-0001-8033-5086

Early Pub Date November 4, 2024
Publication Date November 30, 2024
Submission Date August 29, 2024
Acceptance Date October 8, 2024
Published in Issue Year 2024 Volume: 6 Issue: 4

Cite

APA Wiranata, L. F., Putra, N. K., & Kurniadi, D. (2024). Detection of Two-Phase Slug Flow Film Thickness by Ultrasonic Reflection. Chaos Theory and Applications, 6(4), 237-248. https://doi.org/10.51537/chaos.1539877

Chaos Theory and Applications in Applied Sciences and Engineering: An interdisciplinary journal of nonlinear science 23830 28903   

The published articles in CHTA are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License Cc_by-nc_icon.svg