globalchange  > 过去全球变化的重建
DOI: 10.1016/j.marpolbul.2015.05.039
Scopus记录号: 2-s2.0-84931571875
论文题名:
Intercomparison of oil spill prediction models for accidental blowout scenarios with and without subsea chemical dispersant injection
作者: Socolofsky S.A.; Adams E.E.; Boufadel M.C.; Aman Z.M.; Johansen T.; Konkel W.J.; Lindo D.; Madsen M.N.; North E.W.; Paris C.B.; Rasmussen D.; Reed M.; Rønningen P.; Sim L.H.; Uhrenholdt T.; Anderson K.G.; Cooper C.; Nedwed T.J.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2015
卷: 96, 期:2018-01-02
起始页码: 110
结束页码: 126
语种: 英语
英文关键词: Chemical dispersant ; Droplet size distribution ; Lagrangian particle tracking ; Model prediction ; Multiphase plume ; Subsea blowout
Scopus关键词: Drops ; Forecasting ; Lagrange multipliers ; Oil spills ; Size distribution ; Surface waters ; Dispersants ; Droplet size distributions ; Lagrangian particle tracking ; Model prediction ; Multiphase plumes ; Blowouts ; butane ; carbon dioxide ; ethane ; hexane ; hydrocarbon ; methane ; nitrogen ; oil dispersant ; pentane ; propane ; blowout ; dispersant ; droplet ; Lagrangian analysis ; numerical model ; oil spill ; prediction ; size distribution ; Article ; Blowout and Spill Occurrence model ; comparative study ; crossflow filtration ; environmental monitoring ; flow rate ; Lagrangian particle tracking model ; model ; National Energy Technology Laboratory model ; oil spill ; Oil Spill Contingency and Response model ; Oil Spill module ; plume ; prediction ; sea pollution ; sea surface waters ; analysis ; chemical model ; ecosystem restoration ; environmental monitoring ; oil spill ; procedures ; statistics and numerical data ; water pollution ; Environmental Monitoring ; Environmental Restoration and Remediation ; Models, Chemical ; Petroleum Pollution ; Water Pollution, Chemical
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science ; Earth and Planetary Sciences: Oceanography ; Environmental Science: Pollution
英文摘要: We compare oil spill model predictions for a prototype subsea blowout with and without subsea injection of chemical dispersants in deep and shallow water, for high and low gas-oil ratio, and in weak to strong crossflows. Model results are compared for initial oil droplet size distribution, the nearfield plume, and the farfield Lagrangian particle tracking stage of hydrocarbon transport. For the conditions tested (a blowout with oil flow rate of 20,000 bbl/d, about 1/3 of the Deepwater Horizon), the models predict the volume median droplet diameter at the source to range from 0.3 to 6. mm without dispersant and 0.01 to 0.8. mm with dispersant. This reduced droplet size owing to reduced interfacial tension results in a one to two order of magnitude increase in the downstream displacement of the initial oil surfacing zone and may lead to a significant fraction of the spilled oil not reaching the sea surface. © 2015 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/86485
Appears in Collections:过去全球变化的重建
全球变化的国际研究计划

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作者单位: Division of Coastal and Ocean Engineering, Zachry Department of Civil Engineering, Texas A andM University, 3136 TAMU, College Station, TX, United States; R.M. Parsons Laboratory, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 15 Vassar Street, Cambridge, MA, United States; Center for Natural Resources Development and Protection, Department of Environmental Engineering, The New Jersey Institute of Technology, Newark, NJ, United States; Centre for Energy, School of Mechanical and Chemical Engineering, University of Western Australia, Crawley, WA, Australia; SINTEF Materials and Chemistry, Environmental Technology, Trondheim, Norway; ExxonMobil Biomedical Sciences, Inc., Annandale, NJ, United States; Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States; DHI Water and Environment, Hørsholm, Denmark; University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge, MD, United States; National Energy Technology Laboratory, U.S. Department of Energy, Albany, OR, United States; Shell Projects and Technology, Houston, TX, United States; Chevron Energy Technology Corporation, San Ramon, CA, United States; Upstream Research Company, Spring, TX, United States

Recommended Citation:
Socolofsky S.A.,Adams E.E.,Boufadel M.C.,et al. Intercomparison of oil spill prediction models for accidental blowout scenarios with and without subsea chemical dispersant injection[J]. Marine Pollution Bulletin,2015-01-01,96(2018-01-02)
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