March 2015, Vol. 242, No. 3


New Concept Based On Big Data To Pipeline Risk Management

In the last several decades, there has been a rapid rise in the use of pipeline risk assessment for managing pipeline safety. It has become an important part of pipeline integrity management, but risk assessment is not an absolute science. Previous work has followed the traditional approach of using the pipeline experts’ score card: statistical and probabilistic analysis of historical failure data and associated risk parameters to model, and predict the risk level of pipeline systems. The core issue with the traditional risk assessment models is that it only relies on limited sample data for analyzing the risk of a whole system. Although it requires a firm technical basis, the metho

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