Development of a consequence-based decision-making framework for natural gas transmission pipeline

Natural gas consumption rate is increasing exponentially day by day around the globe. As a result, any kind of natural gas pipeline failure can hamper daily household work as well as to interrupt industrial activities. Furthermore, any kind of pipeline leakage or rupture can destroy the nearest infrastructures, environment, and human life. The main objective of this research is to identify the natural gas pipeline failure consequences analysis in accordance to improve public life safety, security, and reduce the possible environmental hazards. To identify the consequence of the natural gas transmission pipeline failure, the potential threat zone simulation is performed by using ALOHA software and a Bayesian Belief Network (BBN)-based consequence model is developed. Since ALOHA simulation software can forecast an explosion's impact, it has a substantial role in specifying the risk zone region during the event. On the other hand, BBN can anticipate the consequence of that impact. Therefore, the outcome of this study will help the energy provider and government agency to develop the necessary safety precaution plan as well as forecast the crisis management budget.