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Proceedings Paper

CARS technique for geological exploration of hydrocarbons deposits
Author(s): A. P. Zhevlakov; Victor Bespalov; V. V. Elizarov; A. S. Grishkanich; S. V. Kascheev; E. A. Makarov; S. A. Bogoslovsky; A. A. Il’inskiy
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Paper Abstract

We developed a Raman lidar with ultraspectral resolution for automatic airborne monitoring of pipeline leaks and for oil and gas exploration. Experiments were carried out under the CARS circuit. Minimal concentrations of 200 ppb of heavy hydrocarbon gas have been remotely measured in laboratory tests. Test flights indicate that a sensitivity of 6 ppm for methane and 2 ppm for hydrogen sulfide has been reached for leakage detection. As estimations have shown the reliability of heavy hydrocarbon gas detection by the integration method of seismic prospecting and remote laser sensing in CARS circuit can exceed 80%.

Paper Details

Date Published: 23 October 2014
PDF: 7 pages
Proc. SPIE 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V, 92451U (23 October 2014); doi: 10.1117/12.2067945
Show Author Affiliations
A. P. Zhevlakov, National Research Univ. of Information Technologies, Mechanics and Optics (Russian Federation)
Victor Bespalov, National Research Univ. of Information Technologies, Mechanics and Optics (Russian Federation)
V. V. Elizarov, National Research Univ. of Information Technologies, Mechanics and Optics (Russian Federation)
A. S. Grishkanich, National Research Univ. of Information Technologies, Mechanics and Optics (Russian Federation)
S. V. Kascheev, National Research Univ. of Information Technologies, Mechanics and Optics (Russian Federation)
E. A. Makarov, National Research Univ. of Information Technologies, Mechanics and Optics (Russian Federation)
S. A. Bogoslovsky, National Research Univ. of Information Technologies, Mechanics and Optics (Russian Federation)
A. A. Il’inskiy, All Russia Petroleum Research Exploration Institute (Russian Federation)


Published in SPIE Proceedings Vol. 9245:
Earth Resources and Environmental Remote Sensing/GIS Applications V
Ulrich Michel; Karsten Schulz, Editor(s)

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