Abstract

Nowadays, the exploitation and transportation of marine oil and gas are mainly achieved using multiphase flow pipelines. Leakage detection of multiphase flow pipelines has always been the most difficult problem regarding the pipeline safety. Compared to other methods, acoustic detection technology has many advantages and high adaptability. However, multiphase flow pipelines are associated with many noise sources that affect the extraction and recognition of leakage signals. In this study, the mechanism of leakage acoustic source generation in gas‐liquid, two‐phase pipelines is analyzed. First, an acoustic leakage detection experiment in the multiphase pipelines is conducted. The acoustic signals are divided into two classes in accordance with whether leakage occurs or not. The original signals are processed and analyzed based on empirical mode decomposition (EMD) processing technology. Based on the use of signal processing, this study shows that EMD technology can accurately identify the leakage signal in the gas‐liquid, two‐phase pipeline. Upon increases in the leakage aperture sizes, the entropy of the EMD information of the acoustic signals gradually increases. Finally, the method of the normalized energies characteristic value of each IMF component is also applied in leakage signal processing. When the liquid flow is maintained constant, the energy values of the IMF components change in a nonlinear manner when the gas flow rate increases. This verifies the feasibility of use of the acoustic wave sensing technology for leak detection in multiphase flow pipelines, which has important theoretical significance for promoting the development of safe and efficient operation in two‐phase flow pipelines.

Highlights

  • Nowadays, the exploitation and transportation of marine oil and gas are mainly achieved using multiphase flow pipelines

  • Based on the use of signal processing, this study shows that empirical mode decomposition (EMD) technology can accurately identify the leakage signal in the gas-liquid, two-phase pipeline

  • Acoustic leakage detection combined with EMD technology was applied to gas-liquid, two-phase flow pipelines. e following conclusions were inferred based on the acoustic signal processing of data generated from gasliquid, two-phase flow pipeline leakage experiments: (1) EMD-based acoustic signature analyses could successfully recognize the leakage signatures based on verified experimental data. ese studies had built the foundation for a subsequent study on the propagation law of the acoustic leakage of signals and their positioning

Read more

Summary

Research Article

Application of EMD Technology in Leakage Acoustic Characteristic Extraction of Gas-Liquid, Two-Phase Flow Pipelines. The mechanism of leakage acoustic source generation in gas-liquid, two-phase pipelines is analyzed. In order to analyze the characteristics of the acoustic signals when the pipeline leakage occurs, empirical mode decomposition (EMD) is used in this study. Based on verified experimental data, this study shows that the leakage signal in the gas-liquid, two-phase pipeline is successfully recognized by the EMD technology and the information entropy of EMD. We have designed the experimental facilities for gas-liquid, two-phase pipelines in accordance with the principle of acoustic leakage detection technology. It is necessary to study the mechanism of leakage acoustic source generation and spectral characteristics of acoustic signal in the gas-liquid, two-phase pipelines. Under three-flow pattern, the change of acoustic characteristics of leakage signal is not obvious by traditional methods

Wave flow
Number of samplings
Fluctuation caused by leakage
Energy value e normalized energies characteristic value
Findings
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.