Risk analysis and maintenance decision making of natural gas pipelines with external corrosion based on Bayesian network
Authors:
- Yun-Tao LiYLYun-Tao Li
- Xiao-Ning HeXHXiao-Ning He
- Jian ShuaiJSJian Shuai
Open Access
- 1 June 2022
- journal article
- research article
- Published by KEAI Publishing in Petroleum Science
- Vol. 19 (3) , 1250-1261
Abstract
No abstract availableKeywords
Funding Information
- National Key Research and Development Program of China (2018YFC0809300)
- Sinopec Ministry of Science and Technology Basic Prospective Research Project (320034)
- National Natural Science Foundation of China (51806247)
- Ministry of Science and Technology of the People's Republic of China
- Science Foundation of China University of Petroleum, Beijing (2462020YXZZ052)
- PetroChina (ZLZX2020-05)
This publication has 41 references indexed in Scilit:
- Safety barriers analysis of offshore drilling system by employing Fuzzy Event Tree AnalysisSafety Science, 2015
- A clustering approach for assessing external corrosion in a buried pipeline based on hidden Markov random field modelStructural Safety, 2015
- A comprehensive risk evaluation method for natural gas pipelines by combining a risk matrix with a bow-tie modelJournal of Natural Gas Science and Engineering, 2015
- Bayesian analysis of external corrosion data of non-piggable underground pipelinesCorrosion Science, 2015
- Evaluating risk of water mains failure using a Bayesian belief network modelEuropean Journal of Operational Research, 2015
- Reliability assessment of buried pipelines based on different corrosion rate modelsCorrosion Science, 2013
- Dynamic safety analysis of process systems by mapping bow-tie into Bayesian networkProcess Safety and Environmental Protection, 2013
- Evaluation of predictive assessment reliability on corroded transmission pipelinesJournal of Natural Gas Science and Engineering, 2011
- Safety analysis in process facilities: Comparison of fault tree and Bayesian network approachesReliability Engineering & System Safety, 2011
- An approach to human reliability in man-machine systems using error possibilityFuzzy Sets and Systems, 1988