Millimeter-Scale Leak Detection Using Distributed Acoustic and Temperature Gradient Sensing

The occurrence of leaks in the transport of fluids in the oil and gas industry is a recurring problem. Compounds subject to reactions with the environment flowing under high pressure and temperature, through long pipes in places of difficult access exposed to the weather create several conditions fo...

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Published inProceedings of IEEE Sensors ... pp. 1 - 4
Main Authors Weber, Guilherme H., Gomes, Danilo F., dos Santos, Eduardo N., Santana, Ana L. B., da Silva, Jean C. C., Martelli, Cicero, Pipa, Daniel R., Morales, Rigoberto E. M., C., Sergio T., da Silva, Manoel F., da Silva, Marco J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.10.2023
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Abstract The occurrence of leaks in the transport of fluids in the oil and gas industry is a recurring problem. Compounds subject to reactions with the environment flowing under high pressure and temperature, through long pipes in places of difficult access exposed to the weather create several conditions for leaks. Distributed Acoustic Sensing (DAS) technology perfectly addresses those challenges as it provides long-range remote sensing through a dense network of sensors with high sensitivity and wide frequency response. In this work, we demonstrate the use of a DAS system simultaneously operating in acoustic and temperature gradient modes to detect a 1 mm diameter hole leak in a 1 inch-pipeline under water-air slug flow. The measurement data demonstrate the effects of the leakage in both acoustic and thermal perspectives. The results determine the system's ability to identify the integrity of the pipeline, as well as the exact moment the leak started, its location, characteristics in both time and frequency domain, and thermal effects as well. This research contributes to advance DAS technology as a sensing tool capable of detecting mm-sized leak hole in fluid transport pipelines.
AbstractList The occurrence of leaks in the transport of fluids in the oil and gas industry is a recurring problem. Compounds subject to reactions with the environment flowing under high pressure and temperature, through long pipes in places of difficult access exposed to the weather create several conditions for leaks. Distributed Acoustic Sensing (DAS) technology perfectly addresses those challenges as it provides long-range remote sensing through a dense network of sensors with high sensitivity and wide frequency response. In this work, we demonstrate the use of a DAS system simultaneously operating in acoustic and temperature gradient modes to detect a 1 mm diameter hole leak in a 1 inch-pipeline under water-air slug flow. The measurement data demonstrate the effects of the leakage in both acoustic and thermal perspectives. The results determine the system's ability to identify the integrity of the pipeline, as well as the exact moment the leak started, its location, characteristics in both time and frequency domain, and thermal effects as well. This research contributes to advance DAS technology as a sensing tool capable of detecting mm-sized leak hole in fluid transport pipelines.
Author C., Sergio T.
Morales, Rigoberto E. M.
Weber, Guilherme H.
dos Santos, Eduardo N.
Gomes, Danilo F.
da Silva, Manoel F.
Santana, Ana L. B.
Martelli, Cicero
Pipa, Daniel R.
da Silva, Jean C. C.
da Silva, Marco J.
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  givenname: Rigoberto E. M.
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  givenname: Sergio T.
  surname: C.
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  organization: Petrobras,Rio de Janeiro,Brazil
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  organization: Petrobras,Rio de Janeiro,Brazil
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  givenname: Marco J.
  surname: da Silva
  fullname: da Silva, Marco J.
  organization: Johannes Kepler University Linz,Linz,Austria
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Snippet The occurrence of leaks in the transport of fluids in the oil and gas industry is a recurring problem. Compounds subject to reactions with the environment...
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SubjectTerms Acoustic measurements
Acoustics
distributed acoustic sensing
distributed temperature gradient sensing
Fluids
Gas industry
leak detection
Pipelines
Temperature measurement
Temperature sensors
two-phase flow measurement
Title Millimeter-Scale Leak Detection Using Distributed Acoustic and Temperature Gradient Sensing
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