Integrated Risk Assessment of Mountainous Long-Distance Oil and Gas Pipelines Based on Multisource Spatial Data-Reference-Cited by-同舟云学术

Integrated Risk Assessment of Mountainous Long-Distance Oil and Gas Pipelines Based on Multisource Spatial Data

Published:2024-07-02 Issue:28 Volume:9 Page:30492-30507
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Wang Benji¹^ORCID,Li Zheng²,Zhu Baikang¹,Wang Zijia³,Guo Jian¹,Li Cuicui¹,Chen Li⁴,Qian Jiren⁵

Affiliation:

1. National & local Joint Engineering Research Center of Harbor Oil & Gas Storage and Transportation Technology/Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control/School of Shipping and Maritime/School of Petrochemical Engineering & Environment, Zhejiang Ocean University, Zhoushan 316022, China

2. School of Economics and Management, Zhejiang Ocean University, No.1, Haida South Road, 316022 Zhoushan, China

3. Department of Mechanical and Industrial Engineering, New Jersey Institute of Technology, 200 Central Ave #204, Newark, New Jersey 07114, United States

4. Department of General Practice, First Medical Center, Chinese PLA General Hospital, Beijing 100036, China

5. National Pipeline Network Group Zhejiang Natural Gas Pipeline Network Co., Ltd., Hangzhou 310000, Zhejiang, China

Funder

Bureau of Science and Technology of Zhoushan

Key Research and Development Program of Zhejiang Province

Basic Public Welfare Research Program of Zhejiang Province

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c02086

Reference53 articles.

1. An integrated risk assessment methodology based on fuzzy TOPSIS and cloud inference for urban polyethylene gas pipelines

2. Probabilistic-based burst failure mechanism analysis and risk assessment of pipelines with random non-uniform corrosion defects, considering the interacting effects

3. A BN-based risk assessment model of natural gas pipelines integrating knowledge graph and DEMATEL

4. Quantitative research on stress failure risk assessment for girth welds with unequal wall thickness of the X80 pipeline under lateral load

5. Evaluation of disaster-bearing capacity for natural gas pipeline under third-party damage based on optimized probabilistic neural network