Abstract

The main aim of this study is to identify the most important natural gas pipeline failure causes and interrelation analysis. In this research, the rough analytic hierarchy process (Rough-AHP) is used to identify the natural gas pipeline failure causes rank order. Then a combination of rough decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) method is applied to generate the level of importance. The comparison of traditional DEMATEL and Rough-DEMATEL are also performed to establish the cause-effect interrelation diagram. Finally, the Bayesian Belief Network (BBN) is combined with Rough DEMATEL and ISM to identify the interrelation analysis among the most crucial failure causes. As a result, the energy supply company and government policymaker can take necessary safety plan and improve the operation. The main outcome of this study is to improve the security management and reduce the potential failure risks.

Highlights

  • In 2017, Statistics Canada illustrates that the natural gas consumption rates are 14%for commercial, 18% for domestic, and the remaining 68% for industrial sectors

  • analytic hierarchy process (AHP) is integrated with a rough set theory to analyze the rank order

  • The Rough AHP is a combined method with a well-known rough set theory

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Summary

Introduction

In 2017, Statistics Canada illustrates that the natural gas consumption rates are 14%. For commercial, 18% for domestic, and the remaining 68% for industrial sectors. Natural gas demand has been growing exponentially in Canada. Natural gas is predicted to increase 43% worldwide by 2040 [1]. The recent statistical analysis indicates that Canada has huge natural gas resources. As per the current consumption rate approximately the three hundred (300) years. Canada has enough reserved [1]. According to the Canadian Energy Regulator (CER)

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