This highly participative Layers of Protection Analysis training course combines both qualitative and quantitative elements of hazard evaluation and risk assessment to analyze and judge the adequacy of existing or proposed safeguards against process deviations and accident scenarios. It uses an order of magnitude approach to quantify the likelihood of causes, the likelihood of failure of Independent Protection Layers (IPLs), and estimate the consequences for chosen accident scenarios. These approximations are used to estimate the risk of a scenario.
A key to the success of Layers of Protection Analysis (LOPA) is its rules for judging if protection layers are truly independent. Because of these rules, LOPA helps the analysts make consistent judgments of if the risk of a scenario is “as low as reasonably practicable (ALARP)”. The training course contents are based and taught on the guidelines from the AIChE/HSE. The training course covers all aspects of how to apply this very useful technique not only in the selection and analysis of Safety Integrated Systems but also for other applications within an organization such as Capital Improvement Planning, Management of Change, Risk-Based maintenance programs, Incident Investigations etc.
This course will aim to give a complete overview of Layers of protection analysis. A layer of protection analysis (LOPA) is a semi-quantitative tool for analysing and assessing risk on a process plant. It uses an order of magnitude technique to evaluate the adequacy of existing or proposed layers of protection against known hazards.