Safety evaluation of leak in a storage tank using fault tree analysis and risk matrix analysis

The work presented in this paper used a quantitative analysis of relevant risks through the development fault tree and risk methods to aid real time prediction safety evaluation leak storage tank. Criticality elements their attributes can be with data predict potential failures likely occur. As an example, matrix was rank events that could lead tank make decisions on allowed based past statistical data. An intelligent system recognizes increasing level(s) draws awareness possibility additional increase before unsafe levels are attained analyse critical decisions. After visual depiction relationships between hazards controls had been actualized, dynamic modelling quantify effect potentially have by applying historical real-time into probabilistic model. output model is near predictions likelihood. Results from method mixed RTD FTA were analyzed, evaluated, compared.