Hydrocarbon Micro-Seepage Anomalies Detection Algorithm Based on FPCS for Hyperspectral Remote Sensing Data

Zhuo Li He; Xiao Lian Deng; Si Min Ai

doi:10.4028/www.scientific.net/AMM.596.457

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596Hydrocarbon Micro-Seepage Anomalies Detection...

Hydrocarbon Micro-Seepage Anomalies Detection Algorithm Based on FPCS for Hyperspectral Remote Sensing Data

Abstract:

Long-term hydrocarbon micro-seepages develop diverse arrays of chemical and mineralogical changes in rocks and soils. We called this change mineral alteration. Mapping this mineral alteration is thus a potential tool for hydrocarbon exploration. The surface changes caused by hydrocarbon seepage can potentially be detected by remote sensing techniques. In this paper, we discussed some methods which can heighten the altered mineral on the map. The feature-oriented principal component selection (FPCS) and band ratio method collaborated together in extracting the abnormal area. SASI airborne hyperspectral data of Xifeng oilfield which located in southern Ordos Basin were used in this experiment . The experimental results show that the methods adopted in this paper have a good advantage of detecting surface anomalies and alternations associated with oil and gas information.

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Periodical:

Applied Mechanics and Materials (Volume 596)

Pages:

457-462

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.596.457

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Online since:

July 2014

Authors:

Zhuo Li He, Xiao Lian Deng*, Si Min Ai

Keywords:

Band Ratio Method, FPCS, Hydrocarbon Micro-Seepages, Mineral Alteration

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* - Corresponding Author

References

[1] Guo Defang, hydrocarbon micro-seepage and information Extraction, Remote sensing of environment, 10(1995), pp.124-131 (In Chinese).

Google Scholar

[2] A. Petrovic*, S.D. Khan, H.S. Chafetz, Remote detection and geochemical studies for finding hydrocarbon-induced alterations in Lisbon Valley, Utah, Marine and Petroleum Geology, 25 (2008), pp.690-705.

DOI: 10.1016/j.marpetgeo.2008.03.008

Google Scholar

[3] Ye Fawang, Liu Dechang, zhao Yingjun, Airborne hyper-spectral survey system CASI/SASI and its preliminary application in uranium exploration, World Nuclear Geoscience, 28(2011), pp.231-236 (In Chinese).

Google Scholar

[4] Chen Weirong, Guo Defang, Lan Yuqi, The Application of Band Ratio Composite And Feature- oriented Principal Component Selection in the Extraction of oil-gas Signature, " Remote Sensing Technology And Application, 10(1995), pp.33-39 (In Chinese).

Google Scholar

[5] Bai Jiwei, The Study on the Spectral Mapping Technique Based on the Hyperspectral database, Beijing: The Chinese academy of sciences (2002) (In Chinese).

Google Scholar

[6] Wu Xianghua, Detection and evaluation of the minor leakage of oil gas in the area of Xifeng, Erduoshi Basin, Chengdu: Chengdu University of Technology (2011) (In Chinese).

Google Scholar