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1.
Mar Pollut Bull ; 127: 484-504, 2018 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-29475689

RESUMO

As oil reserves in established basins become depleted, exploration and production moves towards relatively unexploited areas, such as deep waters off the continental shelf. The Faroe-Shetland Channel (FSC, NE Atlantic) and adjacent areas have been subject to increased focus by the oil industry. In addition to extreme depths, metocean conditions in this region characterise an environment with high waves and strong winds, strong currents, complex circulation patterns, sharp density gradients, and large small- and mesoscale variability. These conditions pose operational challenges to oil spill response and question the suitability of current oil spill modelling frameworks (oil spill models and their forcing data) to adequately simulate the behaviour of a potential oil spill in the area. This article reviews the state of knowledge relevant to deepwater oil spill modelling for the FSC area and identifies knowledge gaps and research priorities. Our analysis should be relevant to other areas of complex oceanography.


Assuntos
Monitoramento Ambiental/métodos , Modelos Teóricos , Indústria de Petróleo e Gás , Poluição por Petróleo/análise , Poluentes Químicos da Água/análise , Oceano Atlântico , Previsões , Humanos , Vento
2.
Mar Pollut Bull ; 96(1-2): 110-26, 2015 Jul 15.
Artigo em Inglês | MEDLINE | ID: mdl-26021288

RESUMO

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 6mm 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.


Assuntos
Modelos Químicos , Poluição por Petróleo/estatística & dados numéricos , Poluição Química da Água/estatística & dados numéricos , Monitoramento Ambiental , Recuperação e Remediação Ambiental/métodos , Poluição por Petróleo/análise
3.
Environ Sci Technol ; 49(10): 6061-9, 2015 May 19.
Artigo em Inglês | MEDLINE | ID: mdl-25875213

RESUMO

Early life stages of fish are particularly vulnerable to oil spills. Simulations of overlap of fish eggs and larvae with oil from different oil-spill scenarios, both without and with the dispersant Corexit 9500, enable quantitative comparisons of dispersants as a mitigation alternative. We have used model simulations of a blow out of 4500 m(3) of crude oil per day (Statfjord light crude) for 30 days at three locations along the Norwegian coast. Eggs were released from nine different known spawning grounds, in the period from March 1st until the end of April, and all spawning products were followed for 90 days from the spill start at April first independent of time for spawning. We have modeled overlap between spawning products and oil concentrations giving a total polycyclic hydrocarbon (TPAH) concentration of more than 1.0 or 0.1 ppb (µg/l). At these orders of magnitude, we expect acute mortality or sublethal effects, respectively. In general, adding dispersants results in higher concentrations of TPAHs in a reduced volume of water compared to not adding dispersants. Also, the TPAHs are displaced deeper in the water column. Model simulations of the spill scenarios showed that addition of chemical dispersant in general moderately decreased the fraction of eggs and larvae that were exposed above the selected threshold values.


Assuntos
Recuperação e Remediação Ambiental/estatística & dados numéricos , Larva/efeitos dos fármacos , Poluição por Petróleo/análise , Petróleo/toxicidade , Poluentes Químicos da Água/toxicidade , Animais , Ovos , Monitoramento Ambiental , Recuperação e Remediação Ambiental/métodos , Peixes , Poluentes Químicos da Água/análise
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