首页 | 本学科首页   官方微博 | 高级检索  
     检索      


A matrix-based risk assessment approach for addressing linear hazards such as pipelines
Institution:1. Dendritic Consulting Ltd., 19 Mount Alberta Green SE, Calgary, Alta., Canada T2Z 3G8;2. NOVA Chemicals Corp., 4909—49th Street, Red Deer, Alta., Canada T4N 1V1;1. College of Mechanical and Transportation Engineering, China University of Petroleum (Beijing), Beijing, China;2. Department of Marine Technology, Norwegian University of Science and Technology, Trondheim, Norway;1. China Construction, Macau;2. Department of Civil & Environmental Engineering, The University of Western Ontario, London, Canada;1. Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India;2. Department of Chemical Engineering, Indian School of Mines, Dhanbad, Dhanbad 826004, Jharkhand, India;1. School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. Water Resources Engineering, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran;3. Center of Excellence for Engineering and Management of Civil Infrastructures, School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran;4. Department of Irrigation and Drainage, College of Aburaihan, University of Tehran, Pakdasht, Tehran, Iran
Abstract:Pipelines represent a linear risk source that can create unique challenges when assessing risks. In the past, risk has been managed by identifying construction requirements and setbacks based on population densities and types of land use. In the current risk assessment a matrix-based approach has been developed so as to determine the risks associated with high-vapor pressure liquids pipelines. The approach involved the development of a matrix representing each 100 m section of the reviewed pipeline along with approximately 30 risk factors that describe that section of the pipeline. Further, a receptor matrix was constructed to account for each hectare of land within 1 km of the reviewed pipeline system. This approach has allowed for the determination of risk as a function of location and separation from the pipeline and in turn has allowed for the determination of those areas where peak risks exist. In addition, this approach has ensured that the linear geometry related to pipeline risks has been accurately modeled. The resulting estimated risks have been evaluated against MIACC risk thresholds (geographic risk-based measures) and against proprietary internal corporate standards (societal risk-based measures). In this way the acceptability of the risk from the perspective of both the potentially impacted community and that of the pipeline operator can be measured. The net result is that the company has a clear picture of the risks associated with its pipeline and is better able to optimize its risk management and pipeline integrity programs.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号