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
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