DocumentCode :
2599703
Title :
Offshore petroleum exploration from space: A developing capability at Geoscience Australia
Author :
Wettle, M. ; Daniel, P.J. ; Logan, G.A. ; Thankappan, M.
Author_Institution :
Nat. Earth Obs. Group, Geosci. Australia, Canberra, ACT, Australia
fYear :
2010
fDate :
24-27 May 2010
Firstpage :
1
Lastpage :
7
Abstract :
Natural seepage can generate hydrocarbon slicks on the sea surface that may provide petroleum explorers with direct evidence of oil and gas below the sea bed. Remote sensing has the potential to be used as a tool for detecting such sea surface slicks, thereby identifying areas in both producing and frontier basins that are prospective for hydrocarbons. We are developing a two-pronged, remote sensing-based approach for seepage slick studies in the Australian Marine Jurisdiction: 1) building a semiautomated processing and classification system in order to scan large numbers of Synthetic Aperture Radar scenes for potential natural slick targets, and; 2) investigating the potential of optical remote sensing as a diagnostic tool for further, targeted study. Using objected-oriented classification algorithms in a bulk processing environment, large Synthetic Aperture Radar data sets were able to be efficiently screened for potential natural oil slick targets. This processing system offers a range of outputs, including classification statistics for each scene studied, as well as geo-referenced shapefiles ready for analysis in Geographic Information System software, where it can be combined with ancillary data sets for contextual analysis. Our research into the potential for optical remote sensing to enable further diagnostic study of identified, potential targets has shown that there are several commercially available, space borne sensors able to detect the types of oils found throughout the Australian Marine Jurisdiction, but that oil type is critical for this application. Further to this, we have developed an approach for performing a feasibility study of oil type versus sensor sensitivity prior to image data acquisition.
Keywords :
geographic information systems; geophysical image processing; geophysical prospecting; hydrocarbon reservoirs; image classification; object-oriented programming; oceanographic techniques; remote sensing by radar; synthetic aperture radar; Australian marine jurisdiction; GIS software; Geoscience Australia; bulk processing environment; geographic information system; natural seepage; natural slick targets; objected oriented classification algorithms; optical remote sensing; sea surface hydrocarbon slicks; seepage slick studies; semiautomated classification system; semiautomated processing system; space based offshore petroleum exploration; synthetic aperture radar; Hydrocarbons; Optical films; Optical imaging; Optical sensors; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS 2010 IEEE - Sydney
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-5221-7
Electronic_ISBN :
978-1-4244-5222-4
Type :
conf
DOI :
10.1109/OCEANSSYD.2010.5603799
Filename :
5603799
Link To Document :
بازگشت