Risk assessment of oil and gas pipelines hot work based on AHP-FCE

A new quantitative risk assessment method for hot work is proposed based on the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE). It can help pipeline companies realize the risk management of hot work and further ensure the safe operation of oil and gas pipelines. Taking one natural gas pipeline in China as an example, this paper evaluates the risk of a single hot work in the spring of one natural gas pipeline in a high consequence region. First of all, the risk factors are deter-mined with reference to the job safety analysis (JSA), and then experts were invited to fill out a ques-tionnaire to collect their opinions. According to the results of the questionnaire, AHP is used to calculate the weight coefficients of the evaluation indicators, and FCE is used to evaluate the risk level of hot work. After calculation, the comprehensive risk score of hot work is 40.888. It belongs to a general risk. This method can not only quantitatively evaluate the risk levels of hot work, but also reasonably sort the importance of various risk factors. It is helpful for the effective management of hot work and provides suggestions for implementing control measures. (c) 2022 Southwest Petroleum University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

A new quantitative risk assessment method for hot work is proposed in this study based on the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE). It aims to assist pipeline companies in managing the risk of hot work and ensuring the safe operation of oil and gas pipelines. Using a natural gas pipeline in China as an example, the risk of a single hot work event in a high consequence region is evaluated. The method not only quantitatively assesses the risk levels of hot work, but also prioritizes the importance of different risk factors, providing valuable insights for effective risk management and control measures implementation.