BORA-BN, an integrated approach for risk assessment in the process industry

The presented paper exhibits the conversion of the barriers operability risk analysis method (BORA) into a flexible tool, the Bayesian network framework (BN), aiming to strengthen safety risk assessments in industries. BORA is traditionally employed to assess the performance of barrier safety in multi-systems, which eventually encounter many limitations in dynamic risk assessment, dependency, and uncertainty usage. The integration of BN addresses these limitations and offers an adaptive model that can handle probabilistic approaches. This conversion permits an instantaneous updating of risk level values, leveraging the interdependencies of safety barriers and incorporating the newest data and information. The proposed methodology includes the transformation of BORA's into a network of probabilistic variables, which enhance the predictive precision and decision-making. This paper highlights the significance of the proposed approach, including uncertainty and sensitivity analysis. The case study illustrates in practice the benefits of the usage of the BORA-BN in the industry.