Abstract
Iran is the world's fourth-largest oil producer and 25% of Iranian drilling rigs are of a jack-ups type most of which require repair. Choosing the right repair and maintenance method for the Iranian oil industry is critical. The existence of different R&M methods and the need to taking cost, time of maintenance, human resources, and environment-health criteria into account make this problem a multi-objective optimization problem, which depends on the quantitative and qualitative criteria. The main purpose of the paper is to develop a tool that can introduce an efficient solution to the multi-objective problem of selecting a jack-up and R&M method based on an efficient technique. In this study, the NSGA-II genetic algorithm was used as an optimization tool to determine the proper R&M method according to characteristics of the jack-ups and effective criteria. The results were computed for a sample jack-up based on determining Euclidean distance between the optimum and sample jack-ups for each method. The results show which method best for the jack-ups. The results of this research help the experts of the Jack-up R&M make the right decision according to the available assets, cost, and time of the jack-up.
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