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TitleReconnaissance mapping of suspect oil seep occurrences in Hudson Bay and Foxe Basin using satellite radar
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AuthorDecker, V; Budkewitsch, P; Tang, W
SourceGeological Survey of Canada, Open File 7070, 2013, 19 pages, https://doi.org/10.4095/292760 (Open Access)
Year2013
PublisherNatural Resources Canada
Documentopen file
Lang.English
Mediaon-line; digital
File formatreadme
File formatpdf; rtf; kmz
ProvinceNorthern offshore region
AreaHudson Bay; Foxe Basin; Baffin Bay; Hudson Bay Basin
Lat/Long WENS -94.0000 -80.0000 63.0000 56.0000
Lat/Long WENS -82.0000 -72.5000 70.0000 66.0000
Lat/Long WENS -80.0000 -56.0000 75.0000 65.0000
Subjectsgeophysics; marine geology; fossil fuels; hydrocarbons; hydrocarbon potential; remote sensing; satellite imagery; mapping techniques; oil; oil seeps; lithology; sedimentary rocks; reservoir rocks; basins; SAR; RADARSAT-2; Devonian; Silurian; Ordovician; Paleozoic
Illustrationslocation maps; satellite images
ProgramHudson / Foxe Bay Sedimentary Basins, GEM: Geo-mapping for Energy and Minerals
Released2013 08 22 (10:00)
Summary(Plain Language Summary, not published)
Offshore hydrocarbon seeps are sometimes known to occur in association with oil producing basins. There are known natural oil seeps in Canada's offshore basins, but they are relatively unstudied when compared to seeps from other areas around the world. In the Canadian Arctic, no systematic surveys (in the public domain) have been carried out for determining natural baselines of seeps or to assist with identifying prospective petroleum systems. This report presents results of an assessment using a particular type of satellite imagery -- Synthetic Aperture Radar (SAR). RADARSAT-2 SAR imagery was collected over a period of 3 summers to detect possible oil seeps in Hudson Bay and Foxe Basin. From the 360 scenes analysed, 40 suspect targets have been identified. Results demonstrate that satellite SAR imagery can be used to infer areas of potential oil seepage at the sea bottom, which are possibly related to active petroleum systems.
GEOSCAN ID292760