Oil spills characteristics, detection, and recovery methods: A systematic risk-based view

Publication typeJournal Article
Publication date2022-12-01
scimago Q1
wos Q2
SJR0.723
CiteScore7.4
Impact factor4.2
ISSN09504230, 18733352
General Chemical Engineering
Industrial and Manufacturing Engineering
Food Science
Energy Engineering and Power Technology
Control and Systems Engineering
Safety, Risk, Reliability and Quality
Management Science and Operations Research
Abstract
Petroleum is still the most important energy source globally and essential to daily human activities. Its exploration in deep waters and the logistics-related operations present the risk of oil spills, with direct and indirect negative impacts on society, the environment, and the economy. In this paper, we bring a systematic risk-based perspective of oil spills, jointly describing why they are harmful, how to prevent them, how to detect them, the possible mitigating actions, and how to remediate affected areas. Such a comprehensive view relies on information about crude oil's physical and chemical properties, consequences, and existing safety barriers for prevention and mitigation. We also provide an in-depth review of the available oil spill detection methods, as rapid identification is essential to enable mitigation and remediation. Most articles used accuracy as a performance metric and Synthetic Aperture Radar imagery; deep learning has shown the most promising results. The proposed oil spill risk-based view subsidizes efficient risk management and communication, and the identified gaps can guide practitioners and researchers in their investigation efforts. • Oil still is an important energy source, but its exploration and logistics-related operations imply risks, such as oil spills. • A systematic risk-based view is given, relying on oil properties, spill consequences, safety barriers, and detection methods. • A research agenda is suggested to enhance risk management and communication in the oil spill context.
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GOST Copy
Negreiros A. C. S. V. D. et al. Oil spills characteristics, detection, and recovery methods: A systematic risk-based view // Journal of Loss Prevention in the Process Industries. 2022. Vol. 80. p. 104912.
GOST all authors (up to 50) Copy
Negreiros A. C. S. V. D., Lins I., Souto Maior C., Moura M. J. D. C. Oil spills characteristics, detection, and recovery methods: A systematic risk-based view // Journal of Loss Prevention in the Process Industries. 2022. Vol. 80. p. 104912.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1016/j.jlp.2022.104912
UR - https://doi.org/10.1016/j.jlp.2022.104912
TI - Oil spills characteristics, detection, and recovery methods: A systematic risk-based view
T2 - Journal of Loss Prevention in the Process Industries
AU - Negreiros, Ana Cláudia Souza Vidal De
AU - Lins, Isis
AU - Souto Maior, Caio
AU - Moura, Márcio José Das Chagas
PY - 2022
DA - 2022/12/01
PB - Elsevier
SP - 104912
VL - 80
SN - 0950-4230
SN - 1873-3352
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Negreiros,
author = {Ana Cláudia Souza Vidal De Negreiros and Isis Lins and Caio Souto Maior and Márcio José Das Chagas Moura},
title = {Oil spills characteristics, detection, and recovery methods: A systematic risk-based view},
journal = {Journal of Loss Prevention in the Process Industries},
year = {2022},
volume = {80},
publisher = {Elsevier},
month = {dec},
url = {https://doi.org/10.1016/j.jlp.2022.104912},
pages = {104912},
doi = {10.1016/j.jlp.2022.104912}
}