Research on a Nonlinear Fuzzy Comprehensive Assessment Method for Oil & Gas Pipeline Failure Based on Fault Tree Analysis

2012 ◽  
Vol 187 ◽  
pp. 304-310
Author(s):  
Xue Wu ◽  
Ci Yuan Xiao ◽  
Xue Yan Xu
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Engineering Application ◽  
Assessment Method ◽  
Comprehensive Assessment ◽  
Gas Pipeline ◽  
Combination Method ◽  
Fuzzy Comprehensive Assessment ◽  
Tree Analysis ◽  
Pipeline Failure

The combination method of fault tree analysis and nonlinear fuzzy comprehensive assessment method was proposed to make research of oil & gas pipeline failure .The common factors influencing oil & gas pipeline failure could be determined with fault tree analysis .However , the practical operated oil & gas pipeline often have some individual factors and fuzzy ones .Nonlinear fuzzy comprehensive assessment method could evaluate objectively based on evaluated factors sets and weight sets provided by fault tree analysis .The new model steps were listed by taking the example of oil & gas pipeline failure .The result indicates that the method is more reasonable and easier for engineering application , and the evaluation result is more with the objective reality.

A new risk assessment method based on belief rule base and fault tree analysis

2021 ◽  
pp. 1748006X2110114
Author(s):  
Hai-Long Zhu ◽  
Shan-Shan Liu ◽  
Yuan-Yuan Qu ◽  
Xiao-Xia Han ◽  
Wei He ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Expert Knowledge ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Evaluation Process ◽  
Assessment Method ◽  
Assessment Model ◽  
Rule Base ◽  
Tree Analysis ◽  
Belief Rule Base

Risk assessment methods are often used in complex industrial systems to avoid risks and reduce losses. The existing methods have not effectively solved the problems of lack of evaluation data and the interpretability of the entire evaluation process. This paper proposes a new risk assessment model based on the belief rule base (BRB) and Fault Tree Analysis (FTA). The FTA algorithm overcomes the difficulties of traditional BRB model in obtaining expert knowledge, clear indicators, and establishing logical relationships. This method establishes FTA rules based on the BRB model and expands the knowledge base through the FTA algorithm. A Bayesian network is applied as a conversion bridge between the FTA and BRB model. In addition, the model is optimized to reduce the uncertainty in the model. The method proposed is described by a case and its effectiveness is verified.

Risk Analysis for the Urban Buried Gas Pipeline With Fuzzy Comprehensive Assessment Method

2012 ◽  
Vol 134 (2) ◽  
Author(s):  
Chunsheng Miao ◽  
Jianping Zhao
Keyword(s):  
High Risk ◽  
Assessment Method ◽  
Comprehensive Assessment ◽  
Gas Pipeline ◽  
Third Party ◽  
Risk Category ◽  
Buried Pipeline ◽  
Fuzzy Comprehensive Assessment ◽  
High Risk Category ◽  
Buried Gas Pipeline

Based on the statistical analysis from a great deal of failure cases, generally, the failure causes of buried pipeline can be classified into four factors, namely, third-party damage, erosion–corrosion damage, design and construction error, and incorrect operation. The factors influencing the failure of pipeline are complicated, varied and fuzzy. Especially, the influence factors of third-party damage of buried pipeline are of the character of fuzziness, which are difficult to express with the accurate mathematic models. In this paper, the failure factors of buried gas pipeline are first analyzed by fault tree analysis method. Then, the failure likelihood and failure consequence, two parts of the risk, are evaluated with fuzzy comprehensive assessment method, respectively. Finally, the in-service risk of the buried gas pipeline for a certain city is expressed by the risk matrix, which is established with the failure likelihood as vertical ordinate and the failure consequence as horizontal ordinate. It is concluded that there are two pipeline units belong to high risk category, 24 pipeline units belong to medium-high risk category, 160 pipeline units belong to medium risk category, and 392 pipeline units belong to low risk category.

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