Risk-based inspection (RBI) is a systematic method of inspection management in various industries, particularly oil and gas and related industries. This method primarily seeks to reduce financial costs, increase safety, determine inspection intervals and achieve maximum productivity. RBI is a potent risk analysis tool that uses a variety of qualitative and quantitative analyses. Given the novelty of this method, it is possible to upgrade and improve it using other available methods.
Intuitionistic fuzzy risk-based inspection (IFRBI) is a mixed method of RBI and intuitionistic fuzzy sets that performs well in dealing with many ambiguities of verbal expressions and risk analysis, along with solving ambiguous problems and cases where there is insufficient information. The current study aims to provide an IFRBI method in the oil and gas industry, which is highly sensitive and vital. Hence, the proposed method was first explained and then used to check and inspect the pressure vessel in a gas refinery in Iran.
The risk analysis and ranking results are used in the RBI program, indicating a high risk of personal injuries and financial losses and a moderate risk of environmental damage. It was also shown that the numerical analyses were understandable in the steps of these calculations, leading to more accurate results.
Managers and decision-makers in the oil and gas industry and researchers in various industries, including construction, can use the results of this study.
