Title :
Modeling Electromagnetic Reflectivity of Agbabu Oil Sand from Hyperspectral Infrared Reflectance Spectra and Dielectric Properties at L-, C- and X-Band Frequencies
Author :
Ezeoke, Maurice ; Tong, Kin-Fai
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll. London, London, UK
Abstract :
In this paper remote identification of oil sand reservoirs from synthetic aperture radar (SAR) is enhanced by accurate modeling of the electromagnetic (EM) reflectivity of Agbabu oil sands. This is demonstrated using a novel combination of hyperspectral reflectance spectra and dielectric permittivity measurements with computer simulation tools. Infrared spectra (4cm-1 resolution) were obtained that covered the near-infrared (NIR) and mid-infrared (MIR) regions (2.5 - 25μm) to verify the presence of bitumen and sand in Agbabu oil sands. Thereafter the dielectric properties at L-, C- and X-band frequencies were determined using coaxial probe measurements to provide previously non-existent information on the electrical properties of oil sand terrain. This data was used to investigate the EM reflectivity of Agbabu oil sand with EM scattering models developed using computer simulation tools for L-, C- and X-band and geometry θi = 20° to 90°.
Keywords :
coaxial cables; dielectric losses; electromagnetic fields; geophysical prospecting; hyperspectral imaging; infrared spectra; oil sands; permittivity; probes; radar applications; reflectivity; sand; synthetic aperture radar; C-band frequencies; EM reflectivity; L-band frequencies; MIR; NIR; SAR; X-band frequencies; agbabu oil sand; coaxial probe measurements; computer simulation tools; dielectric permittivity measurements; dielectric properties; hyperspectral infrared reflectance spectra; mid-infrared; modeling electromagnetic reflectivity; near-infrared; oil sand reservoirs; remote identification; synthetic aperture radar; Asphalt; Dielectric measurement; Dielectrics; Hydrocarbons; Permittivity; Probes; Reflectivity; Agbabu Oil Sand; Computer Simulation; Dielectric property; EM Reflectivity; Petroleum Exploration;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2013 Fifth International Conference on
Conference_Location :
Madrid
Print_ISBN :
978-1-4799-0587-4
DOI :
10.1109/CICSYN.2013.25