Enhanced Detection of Individual Gas Bubbles in Multiphase Flow by Distributed Acoustic Sensing

Yannik Schick; Lukas Pichler; Mark Hlawitschka; Marco Da Silva

doi:10.1109/SENSORS59705.2025.11331302

Enhanced Detection of Individual Gas Bubbles in Multiphase Flow by Distributed Acoustic Sensing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Distributed Acoustic Sensing (DAS) is a promising technology for monitoring multiphase flows, yet its application to low gas fraction regimes, such as bubbly flows, remains challenging. This study explores the detection of millimeter-scale gas bubbles in a chemical reactor using tailored fiber wrap configurations and advanced multi-step filtering. Experimental results demonstrate that the proposed approach reliably tracks bubble rise dynamics, with velocities matching theoretical predictions. The gauge length is identified as a key parameter for optimizing signal quality. These results establish a basis for broader deployment of DAS in the (bio)chemical industry.

Original language	English
Title of host publication	2025 IEEE SENSORS
Edition	1
ISBN (Electronic)	979-8-3315-4467-6
DOIs	https://doi.org/10.1109/SENSORS59705.2025.11331302
Publication status	Published - 19 Jan 2026

Publication series

Name	Proceedings of IEEE Sensors
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Fields of science

202012 Electrical measurement technology
102003 Image processing
202027 Mechatronics
202037 Signal processing
202036 Sensor systems
105109 Geothermics
104027 Computational chemistry
204003 Chemical process engineering
207106 Renewable energy
209006 Industrial biotechnology
207111 Environmental engineering
502058 Digital transformation
203024 Thermodynamics

JKU Focus areas

Digital Transformation
Sustainable Development: Responsible Technologies and Management

Access to Document

10.1109/SENSORS59705.2025.11331302

Cite this

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title = "Enhanced Detection of Individual Gas Bubbles in Multiphase Flow by Distributed Acoustic Sensing",

abstract = "Distributed Acoustic Sensing (DAS) is a promising technology for monitoring multiphase flows, yet its application to low gas fraction regimes, such as bubbly flows, remains challenging. This study explores the detection of millimeter-scale gas bubbles in a chemical reactor using tailored fiber wrap configurations and advanced multi-step filtering. Experimental results demonstrate that the proposed approach reliably tracks bubble rise dynamics, with velocities matching theoretical predictions. The gauge length is identified as a key parameter for optimizing signal quality. These results establish a basis for broader deployment of DAS in the (bio)chemical industry.",

author = "Yannik Schick and Lukas Pichler and Mark Hlawitschka and \{Da Silva\}, Marco",

year = "2026",

month = jan,

day = "19",

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language = "English",

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series = "Proceedings of IEEE Sensors",

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T1 - Enhanced Detection of Individual Gas Bubbles in Multiphase Flow by Distributed Acoustic Sensing

AU - Schick, Yannik

AU - Pichler, Lukas

AU - Hlawitschka, Mark

AU - Da Silva, Marco

PY - 2026/1/19

Y1 - 2026/1/19

N2 - Distributed Acoustic Sensing (DAS) is a promising technology for monitoring multiphase flows, yet its application to low gas fraction regimes, such as bubbly flows, remains challenging. This study explores the detection of millimeter-scale gas bubbles in a chemical reactor using tailored fiber wrap configurations and advanced multi-step filtering. Experimental results demonstrate that the proposed approach reliably tracks bubble rise dynamics, with velocities matching theoretical predictions. The gauge length is identified as a key parameter for optimizing signal quality. These results establish a basis for broader deployment of DAS in the (bio)chemical industry.

AB - Distributed Acoustic Sensing (DAS) is a promising technology for monitoring multiphase flows, yet its application to low gas fraction regimes, such as bubbly flows, remains challenging. This study explores the detection of millimeter-scale gas bubbles in a chemical reactor using tailored fiber wrap configurations and advanced multi-step filtering. Experimental results demonstrate that the proposed approach reliably tracks bubble rise dynamics, with velocities matching theoretical predictions. The gauge length is identified as a key parameter for optimizing signal quality. These results establish a basis for broader deployment of DAS in the (bio)chemical industry.

UR - https://www.scopus.com/pages/publications/105034126573

U2 - 10.1109/SENSORS59705.2025.11331302

DO - 10.1109/SENSORS59705.2025.11331302

M3 - Conference proceedings

SN - 979-8-3315-4468-3

T3 - Proceedings of IEEE Sensors

BT - 2025 IEEE SENSORS

ER -

Enhanced Detection of Individual Gas Bubbles in Multiphase Flow by Distributed Acoustic Sensing

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

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Detektion akustischer Emissionen subaquatischer Gasblasen mittels Distributed Acoustic Sensing