DocumentCode :
3060007
Title :
Hyperspectral imaging for the characterization of athabasca oil sands drill core
Author :
Speta, Michal ; Rivard, Benoit ; Jilu Feng ; Lipsett, Michael ; Gingras, Murray
Author_Institution :
Dept. of Earth & Atmos. Sci., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2184
Lastpage :
2187
Abstract :
Accurately logging oil sands core is a challenging process because sedimentary and biogenic features are difficult to see in bitumen-saturated strata. A suite of oil sands core was scanned using the SisuROCK hyperspectral imaging system. Analysis of the spectral imagery revealed that in the shortwave infrared we can “see through” thin bitumen at the surface and readily identify structures and fabrics that are not visible to the unaided eye. In the spectral data, we identify broad spectral classes that correlate to lithofacies, which are then used to create rudimentary lithological maps. Greyscale ore-grade maps are also created using an existing spectral model for the determination of bitumen content. Developing an automated method for the removal of man-made materials from the hyperspectral imagery, based on a spectral library developed during this study, remains a research preoccupation. Future work will investigate the discrimination of individual clay minerals, particularly swelling vs. non-swelling.
Keywords :
bitumen; cartography; clay; geophysical techniques; hyperspectral imaging; minerals; oil sands; remote sensing; rocks; sediments; swelling; well logging; Athabasca oil sand drill core characterization; SisuROCK hyperspectral imaging system; automated method; biogenic feature process; bitumen content determination; bitumen-saturated strata; broad spectral classes; existing spectral model; fabric identification; greyscale ore-grade maps; hyperspectral imagery; individual clay mineral discrimination; lithofacies correlation; man-made material removal; nonswelling clay mineral discrimination; oil sand core accurate logging; research preoccupation; rudimentary lithological maps; sedimentary feature process; shortwave infrared; spectral data; spectral imagery analysis; spectral library; structure identification; thin bitumen; unaided eye; Asphalt; Estimation; Hydrocarbons; Hyperspectral imaging; Minerals; Reflectivity; bitumen; clays; hyperspectral imaging; oil sands; spectroscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723248
Filename :
6723248
Link To Document :
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