Methods of oil detection in response to the Deepwater Horizon oil spill

dc.contributor.author White, Helen K.
dc.contributor.author Conmy, Robyn N.
dc.contributor.author MacDonald, Ian R.
dc.contributor.author Reddy, Christopher M.
dc.date.accessioned 2016-10-06T17:21:23Z
dc.date.available 2016-10-06T17:21:23Z
dc.date.issued 2016-09
dc.description Author Posting. © The Oceanography Society, 2016. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 29, no. 3 (2016): 76–87, doi:10.5670/oceanog.2016.72. en_US
dc.description.abstract Detecting oil in the northern Gulf of Mexico following the Deepwater Horizon oil spill presented unique challenges due to the spatial and temporal extent of the spill and the subsequent dilution of oil in the environment. Over time, physical, chemical, and biological processes altered the composition of the oil, further complicating its detection. Reservoir fluid, containing gas and oil, released from the Macondo well was detected in surface and subsurface environments. Oil monitoring during and after the spill required a variety of technologies, including nimble adaptation of techniques developed for non-oil-related applications. The oil detection technologies employed varied in sensitivity, selectivity, strategy, cost, usability, expertise of user, and reliability. Innovative technologies ranging from remote sensing to laboratory analytical techniques were employed and produced new information relevant to oil spill detection, including the chemical characterization, the dispersion effectiveness, and the detection limits of oil. The challenge remains to transfer these new technologies to oil spill responders so that detection of oil following a spill can be improved. en_US
dc.description.sponsorship This research was made possible in part by grants from the Gulf Research Program (to HKW); NSF OCE-1333148 (to CMR); and the Gulf of Mexico Research Initiative supporting the ECOGIG-2 consortium (to IRM), the C-IMAGE consortium (to CMR), the DEEP-C consortium (to CMR), and an RFP-II grant (to HKW). en_US
dc.identifier.citation Oceanography 29, no. 3 (2016): 76–87 en_US
dc.identifier.doi 10.5670/oceanog.2016.72
dc.identifier.uri https://hdl.handle.net/1912/8433
dc.language.iso en_US en_US
dc.publisher The Oceanography Society en_US
dc.relation.uri https://doi.org/10.5670/oceanog.2016.72
dc.title Methods of oil detection in response to the Deepwater Horizon oil spill en_US
dc.type Article en_US
dspace.entity.type Publication
relation.isAuthorOfPublication b8627b3c-54b2-4f3f-9c99-4d12c1d9c359
relation.isAuthorOfPublication 44a5bd44-4be5-4bbf-97f0-43e0a3af62eb
relation.isAuthorOfPublication 3f216881-e9dc-42e7-a27e-a6ce3fd2e6ea
relation.isAuthorOfPublication 0a0899dd-04b3-4775-a10c-a9465c304297
relation.isAuthorOfPublication.latestForDiscovery b8627b3c-54b2-4f3f-9c99-4d12c1d9c359
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
29-3_white.pdf
Size:
1.06 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.89 KB
Format:
Item-specific license agreed upon to submission
Description: