Abstract
Corrosion presents the gas industry with the formidable challenge of sustaining natural gas energy resources. Given the intricate nature of corrosion, it is imperative to devise a comprehensive model and formulate cognitive sets to effectively manage the risks associated with corrosion in the gas industry. Therefore, the present research was conducted with the objective of identifying and presenting a fuzzy cognitive map delineating the critical factors of corrosion. The statistical population of the research comprises corrosion experts. The statistical sample for this study encompasses 30 experts possessing requisite knowledge and experience, with a minimum of 10 years of expertise in engineering disciplines such as materials science and metallurgy. The findings revealed that the cathodic protection factor exerts the most significant influence on corrosion. The fuzzy cognitive mapping structure of the study comprises 19 edges. The factors “CO2″, ”H2S“, and ”Pipeline Age“ exhibit the highest susceptibility with input degrees of 0.895 and 0.6, respectively. Additionally, ”Cathodic Protection“ ranks highest in terms of influence with a degree of 0.895, whereas ”Working Temperature“ has the least impact with an output degree of − 0.895. The reliability of expert opinions using the Z-number theory has been assessed, yielding fuzzy numbers (0.47, 0.7, 0.93), indicating a reliable and highly certain relationship. The identified factors furnish essential insights to bolster evidence-based policy formulation, facilitating effective monitoring and evaluation of policies within the gas industry.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call