A Spatial Statistic Based Risk Assessment Approach to Prioritize the Pipeline Inspection of the Pipeline Network

doi:10.3390/en13030685

CSpace

	A Spatial Statistic Based Risk Assessment Approach to Prioritize the Pipeline Inspection of the Pipeline Network
	Hou, Peng 1; Yi, Xiaojian 1,2; Dong, Haiping 1
	2020-02-01
发表期刊	ENERGIES
卷号	13 期号:3 页码:16
摘要	The identification of high risk regions is an important aim of risk-based inspections (RBIs) in pipeline networks. As the most vital part of risk-based inspections, risk assessment makes a significant contribution to achieving this aim. Accurate assessment can target high risk inspected regions so that limited resources can mitigate considerable risks in the face of increased spatial distribution of a pipeline network. However, the existing approaches for risk assessment face grave challenges due to a lack of sufficient data and an assessment's vulnerability to human biases and errors. This paper attempts to tackle those challenges through spatial statistics, which is used to estimate the uncertainty of risk based on a dataset of locations of pipeline network failure events without having to acquire additional data. The consequence of risk in each inspected region is measured by the total cost caused by the failure events that have occurred in the region, which is also calculated in the assessment. Then, the risks of the different inspected regions are obtained by integrating the uncertainty and consequences. Finally, the feasibility of our approach is validated in a case study. Our results in the case study demonstrate that uncertainty is less instructive for prioritizing pipeline inspections than the consequences of risk due to the low significant difference in risk uncertainty in different regions. Our results also have implications for understanding the correlation between the spatial location and consequences of risk.
关键词	risk-based inspection risk-based prioritization inhomogeneous poisson point process significance test Moran's I index kernel density estimation
DOI	10.3390/en13030685
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation[71801196] ; National Science and Technology Major Project[2017ZX06002006]
WOS研究方向	Energy & Fuels
WOS类目	Energy & Fuels
WOS记录号	WOS:000522489000178
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/51038
专题	中国科学院数学与系统科学研究院
通讯作者	Yi, Xiaojian; Dong, Haiping
作者单位	1.Beijing Inst Technol, Sch Mechatron Engn, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Hou, Peng,Yi, Xiaojian,Dong, Haiping. A Spatial Statistic Based Risk Assessment Approach to Prioritize the Pipeline Inspection of the Pipeline Network[J]. ENERGIES,2020,13(3):16.
APA	Hou, Peng,Yi, Xiaojian,&Dong, Haiping.(2020).A Spatial Statistic Based Risk Assessment Approach to Prioritize the Pipeline Inspection of the Pipeline Network.ENERGIES,13(3),16.
MLA	Hou, Peng,et al."A Spatial Statistic Based Risk Assessment Approach to Prioritize the Pipeline Inspection of the Pipeline Network".ENERGIES 13.3(2020):16.