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As the population grows rapidly in the world and the living standards are getting higher,the energy demand continues to grow.According to the Annual Energy Outlook 2016,the estimated oil and gas consumptions will increase at an annual average rate of 0.2%from 2015 to 2040.To meet the growing energy demand,offshore drilling will continue to explore ultra-deep sea locations and enhance the hydrocarbon recovery in the production processes.The maturing deep-water oil fields face low reservoir pressure.In order to send the hydrocarbons back to the platform and the onshore facilities,overcoming the hydrostatic pressure from the overlying liquid,which requires a sufficient amount of pressure,becomes a significant challenge.Therefore,hydrocarbon boosting system is developed to enhance transportation to the platform.Additionally,hydrocarbon boosting system can increase the oil recovery factor by 10%to 30%,which is equivalent to transferring an additional 50-150 million bbl(fluid barrel)of oil.Perdido is currently the worlds second deepest offshore hub in the production phase,reaching a water depth of 8000 feet [3,4].Drilling at such depth has tremendous challenges.This calls for the system to work reliably for a long time,otherwise,its failure can cause hazards to offshore workers and lead to the enormous amount of lost revenue due to downtime and maintenance program [1].The technology in the Perdido project is relatively new,reliability analysis of hydrocarbon boosting system is crucial for offshore oil production processes in terms of safety and maintenance.This paper aims to review the subsea boosting system at Perdido located in the Gulf of Mexico and to conduct fault tree analysis and dynamic Bayesian network to perform a risk assessment of the overall subsea boosting system for reliability analysis.The fault tree and Bayesian network include major components in the boosting system,such as the separators,electrical submersible pumps,umbilical cables,and risers.The data for the failure rates of the components in the boosting system is based on the statistics collected in available databases.Additionally,a sensitivity analysis was conducted to investigate the effects of redundancy on reliability using the models developed in this study.The extensive literature reviews identified the functions of the subsea boosting system in the subsea processing as well as its corresponding components.The current research report provides a guideline for making a decision on the maintenance of the boosting system and the applications of technology.