Leak Detection for Large Complex Gas Pipelines by Discrepancy Analysis of Simulated-Measured Pressure Profiles-Reference-Cited by-同舟云学术

Leak Detection for Large Complex Gas Pipelines by Discrepancy Analysis of Simulated-Measured Pressure Profiles

Published:2023-12-16 Issue: Volume:20 Page:140-150
ISSN:
Container-title:2023 6th Artificial Intelligence and Cloud Computing Conference (AICCC)
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Author:

Wang Shouxi¹^ORCID,Wang Li²^ORCID,Wang Ada Bing³^ORCID,Luo Yan⁴^ORCID

Affiliation:

1. College of Petroleum Engineering, Xi'an Shiyou University, China and Petroleum Engineering Schoole, Southwest Petroleum University, China

2. Petroleum Engineering Schoole, Southwest Petroleum University, China

3. Software Engineering, University of Waterloo, Canada

4. College of Petroleum Engineering, Xi'an Shiyou University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639592.3639612

Reference24 articles.

1. U.S. Department of Transportation. Pipeline Incident 20 Year Trends. Nov. 15, 2022, Pipeline and Hazardous Materials Safety Administration. Aug. 12, 2023.

2. Jun Zhang, Andy Hoffman, Keefe Murphy, John Lewis and Michael Twomey. 2013. Review of Pipeline Leak Detection Technologies. PSIG Annual Meeting, 16-19 April 2013, Prague, Czech Republic

3. David Shaw, Martin Phillips, Ron Baker, Eduardo Munoz, Hamood Rehman, Carol Gibson and Christine Mayernik , Leak Detection Study–DTPH56-11-D000001, U.S. Department of Transportation Pipeline and Hazardous Materials Safety Administration, Dec. 10 2012

4. Review and analysis of pipeline leak detection methods;Saidileep Korlapati Naga Venkata;Journal of Pipeline Science and Engineering,2022

5. Review of Current Technologies and Proposed Intelligent Methodologies for Water Distributed Network Leakage Detection;T. K.;IEEE Access,2018