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The objective of reliability sensitivity analysis is to determine inputvariables that mostly contribute to the variability of the failure probability.In this paper, we study a recently introduced method for the reliabilitysensitivity analysis based on a perturbation of the original probabilitydistribution of the input variables. The objective is to determine the mostinfluential input variables and to analyze their impact on the failureprobability. We propose a moment independent sensitivity measure that is basedon a perturbation of the original probability density independently for eachinput variable. The variables providing the highest variation of the originalfailure probability are settled to be more influential. These variables willneed a proper characterization in terms of uncertainty. The method is intendedto work in applications involving a computationally expensive simulation codefor evaluating the failure probability such as the CO2 storage risk analysis.An application of the method to a synthetic CO2 storage case study is providedtogether with some analytical examples

Reliability sensitivity analysis based on probability distribution perturbation with application to CO2 storage