气候变化领域集成服务门户(CCPortal): Deep oil spill hazard assessment based on spatio-temporal met-ocean patterns

CCPortal

DOI	10.1016/j.marpolbul.2020.111123
	Deep oil spill hazard assessment based on spatio-temporal met-ocean patterns
	Chiri H.; Abascal A.J.; Castanedo S.
发表日期	2020
ISSN	0025326X
卷号	154
英文摘要	Oil spill risk assessments are important tools for the offshore oil and gas industries to minimize the consequences of deep spills. The stochastic modeling required in this kind of studies, is generally centered on surface transport and based on a Monte Carlo selection of hundreds or thousands of met-ocean scenarios from reanalysis databases, to create an ensemble of spill simulations. We propose a new integrated stochastic modeling methodology including both surface and subsurface transport, based on the specific selection of the most relevant environmental conditions through data-mining techniques. The methodology was applied to evaluate oil contamination probability as a consequence of a simulated deep release in the North Sea. Our results show the effectiveness of the proposed methodology to select representative evolutions of met-ocean conditions and to obtain pollution probabilities from an integrated subsurface and surface oil spill stochastic modeling, while assuring a manageable computational effort. © 2020 Elsevier Ltd
英文关键词	Data mining; Hazard assessment; North Sea; Oil spill modeling; Spatio-temporal patterns
语种	英语
scopus关键词	Gas industry; Hazards; Marine pollution; Monte Carlo methods; Offshore oil well production; Oil spills; Petroleum industry; Risk assessment; Stochastic systems; Environmental conditions; Hazard Assessment; North Sea; Offshore oil and gas industry; Oil spill risk assessments; Oil-spill model; Spatiotemporal patterns; Subsurface transport; Data mining; data mining; hazard assessment; marine pollution; modeling; oil spill; risk assessment; spatial variation; temporal variation; article; contamination; data mining; hazard assessment; North Sea; oil spill; probability; sea; simulation; stochastic model; Monte Carlo method; North Sea; oil spill; risk assessment; sea; Atlantic Ocean; North Sea; Monte Carlo Method; North Sea; Oceans and Seas; Petroleum Pollution; Risk Assessment
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/149027
作者单位	IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Avda. Isabel Torres, 15, Santander, 39011, Spain; Departamento de Ciencias y Técnicas del Agua y del Medio Ambiente, Universidad de Cantabria, Santander, 39005, Spain
推荐引用方式 GB/T 7714	Chiri H.,Abascal A.J.,Castanedo S.. Deep oil spill hazard assessment based on spatio-temporal met-ocean patterns[J],2020,154.
APA	Chiri H.,Abascal A.J.,&Castanedo S..(2020).Deep oil spill hazard assessment based on spatio-temporal met-ocean patterns.Marine Pollution Bulletin,154.
MLA	Chiri H.,et al."Deep oil spill hazard assessment based on spatio-temporal met-ocean patterns".Marine Pollution Bulletin 154(2020).