TY - JOUR
T1 - Leak detection and localization techniques in oil and gas pipeline
T2 - A bibliometric and systematic review
AU - Yuan, Jie
AU - Mao, Wenjing
AU - Hu, Chun
AU - Zheng, Jianfeng
AU - Zheng, Dezhi
AU - Yang, Yunbo
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/4
Y1 - 2023/4
N2 - Oil and gas pipelines are very important for fuel transportation, however leakages in them may lead to life and property losses due to the release of the energy they contain. Reliable leak detection and localization techniques that effectively monitor help reduce the probability of pipeline failure during the lifetime of its use. Yet, a bibliometric and systematic review of leak detection and localization techniques is currently lacking. Therefore, in this study, a scientometric analysis of the bibliographic data on this field is conducted to identify current popular techniques and challenges, including statistics and analysis of the number of publications, institutions, and research interests. Also, a systematic and comprehensive classification method for these techniques is proposed, relevant standards for oil and gas pipeline leak detection are summarized, and a flowchart is provided for selecting detection methods. Furthermore, this paper conducts an overview of the different methods and discusses the merits, limitations, and performance of the methods in detail. Finally, the paper concludes with potential directions for further improvements based on the findings and limitations of the published literature, which would be helpful for researchers and engineers in the field.
AB - Oil and gas pipelines are very important for fuel transportation, however leakages in them may lead to life and property losses due to the release of the energy they contain. Reliable leak detection and localization techniques that effectively monitor help reduce the probability of pipeline failure during the lifetime of its use. Yet, a bibliometric and systematic review of leak detection and localization techniques is currently lacking. Therefore, in this study, a scientometric analysis of the bibliographic data on this field is conducted to identify current popular techniques and challenges, including statistics and analysis of the number of publications, institutions, and research interests. Also, a systematic and comprehensive classification method for these techniques is proposed, relevant standards for oil and gas pipeline leak detection are summarized, and a flowchart is provided for selecting detection methods. Furthermore, this paper conducts an overview of the different methods and discusses the merits, limitations, and performance of the methods in detail. Finally, the paper concludes with potential directions for further improvements based on the findings and limitations of the published literature, which would be helpful for researchers and engineers in the field.
KW - Detection
KW - Gas
KW - Leak
KW - Oil
KW - Pipeline
KW - Safety
KW - Standard
UR - http://www.scopus.com/inward/record.url?scp=85146593509&partnerID=8YFLogxK
U2 - 10.1016/j.engfailanal.2023.107060
DO - 10.1016/j.engfailanal.2023.107060
M3 - Review article
AN - SCOPUS:85146593509
SN - 1350-6307
VL - 146
JO - Engineering Failure Analysis
JF - Engineering Failure Analysis
M1 - 107060
ER -