Risk-based Inspection Model for Atmospheric Storage Tank

Cost reduction is important in current economic trend and everything is about cost reductions. Furthermore, tougher environmental regulations are driving an upsurge in the application of risk management as the methodology to optimize the plant assets inspection. Risk-based inspection (RBI) planning is a methodology for systematic decision making to identify components which are more like to fail first or damage the environment and causing injuries to the personnel and worse come to worst, leading to production shutdowns [12]. In current situation, priority being given for methodology mitigates risks that involves in the process and forecast the optimal inspections interval by using the risk. Quantitative procedures have been provide by the American Petroleum Institute (API) 581 to establish an inspection program using risk-based methods for several fix equipment including atmospheric storage tank but does not present a systematic understanding or direct application for the methodology [13]. However, the methodology for the RBI analysis is very lengthy and needed to take into account with a lot of different preset values as well as different parameters. Hence, the procedure is very complicated and messy to be applied in the industry. Besides that, traditional approach still being applied by many companies when it comes to inspection activity. Thus repetitive inspection disregard the AST’s condition cause significant amount of wastage resources. From all the problem above, this project aims to develop an Excel based RBI for atmospheric storage tank. This software is developed based on the synthesis of API 581, API 580 standard. The scope of the application however would be limited on determining the risk value of the AST instead of providing the next inspection date as well. Nevertheless, with the risk value obtained, the analysts could prioritize the inspection interval effectively.