Carbon dioxide pipelines: A statistical analysis of historical accidents

Dongmin Xi; Hongfang Lu; Yun Fu; Shaohua Dong; Xinmeng Jiang; John Matthews

doi:10.1016/j.jlp.2023.105129

Carbon dioxide pipelines: A statistical analysis of historical accidents

Dongmin Xi
, Hongfang Lu
, Yun Fu
, Shaohua Dong
, Xinmeng Jiang
, John Matthews

Southeast University
China University of Petroleum (Beijing)
Louisiana Tech University

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	105129
Journal	Journal of Loss Prevention in the Process Industries
Volume	84
DOIs	https://doi.org/10.1016/j.jlp.2023.105129
State	Published - Sep 2023
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

ASJC Scopus Subject Areas

Control and Systems Engineering
Food Science
General Chemical Engineering
Safety, Risk, Reliability and Quality
Energy Engineering and Power Technology
Management Science and Operations Research
Industrial and Manufacturing Engineering

Keywords

Accident risk
Carbon dioxide pipeline
Pipeline accident
Statistical analysis

Access to Document

10.1016/j.jlp.2023.105129

Cite this

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title = "Carbon dioxide pipelines: A statistical analysis of historical accidents",

keywords = "Accident risk, Carbon dioxide pipeline, Pipeline accident, Statistical analysis",

author = "Dongmin Xi and Hongfang Lu and Yun Fu and Shaohua Dong and Xinmeng Jiang and John Matthews",

note = "Publisher Copyright: {\textcopyright} 2023 Elsevier Ltd",

year = "2023",

month = sep,

doi = "10.1016/j.jlp.2023.105129",

language = "English",

volume = "84",

journal = "Journal of Loss Prevention in the Process Industries",

issn = "0950-4230",

}

TY - JOUR

T1 - Carbon dioxide pipelines

T2 - A statistical analysis of historical accidents

AU - Xi, Dongmin

AU - Lu, Hongfang

AU - Fu, Yun

AU - Dong, Shaohua

AU - Jiang, Xinmeng

AU - Matthews, John

PY - 2023/9

Y1 - 2023/9

KW - Accident risk

KW - Carbon dioxide pipeline

KW - Pipeline accident

KW - Statistical analysis

UR - https://www.scopus.com/pages/publications/85162973718

UR - https://www.scopus.com/pages/publications/85162973718#tab=citedBy

U2 - 10.1016/j.jlp.2023.105129

DO - 10.1016/j.jlp.2023.105129

M3 - Article

AN - SCOPUS:85162973718

SN - 0950-4230

VL - 84

JO - Journal of Loss Prevention in the Process Industries

JF - Journal of Loss Prevention in the Process Industries

M1 - 105129

ER -

Carbon dioxide pipelines: A statistical analysis of historical accidents

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this