Extraction of hydrocarbon micro-seepage information based on TG-1 hyperspectral data
Dachang YANG1(), Jie CHEN1,2(), Zihong GAO1, Yachao HAN1
1.China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China 2.Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
The hydrocarbon microseepage detection method with remote sensing technology is a direct way for oil and gas investigation. According to several anomalous phenomena above oil and gas reservoirs, such as the enrichment of low-grade iron elements, the abundance of clay minerals and high carbonate content, this paper proposes an oil and gas alteration information extraction theory with hyperspectral method. Based on the theory, the authors analyzed the spectral response characteristics of various hydrocarbon alteration materials with hyperspectral data of the Tiangong-1(TG-1), highlighted targeted mineral feature information and at the same time suppressed the information of other ground objects, selected the high-absorption and high-reflection bands of the different interpretation signs, and then used the band ratio method to highlight and extract feature information. With the TG-1 hyperspectral data of Qingyang City, Gansu Province, the authors conducted oil and gas micro-seepage extraction and the results show that the distribution of the abnormal information of surface alteration is not only in good consistency with the local geological analysis results but also in good agreement with the actual oil and gas area data, thus verifying the feasibility of the method proposed in this paper and demonstrates the detection potential of TG-1 hyperspectral data.
Segal D B, Merin I S . Successful use of Landsat thematic mapper data for mapping hydrocarbon microseepage-induced mineralogic alteration, Lisbon Valley,Utah[J]. Photogrammetric Engineering and Remote Sensing, 1989,55(7):1137-1145.
[2]
Ellis J M, Davis H H, Zamudio A . Exploring for onshore oil seeps with hyperspectral imaging[J]. Oil and Gas Journal, 2001,99(37):49-58.
[3]
周密 . 油气微渗漏的高光谱信息提取研究[D].北京:中国地质大学(北京), 2007.
Zhou M . Study on the Hyperspectral Information Extraction of Oil and Gas Microseepage[D].Beijing:China University of Geosciences (Beijing), 2007.
Li N, Zhou P . Hydrocarbon microleakage information extraction based on ASTER data and reflectance spectroscopy[J]. Journal of Geomechanics, 2015,21(2):218-227.
Chen S B, Zhao L, Wang J N . Study on hyperspectral response to surface alteration by oil and gas microseepage under loess area[J]. Spectroscopy and Spectral Analysis, 2012,32(6):1616-1619.
[6]
Kühn F, Oppermann K, Hörig B . Hydrocarbon index:An algorithm for hyperspectral detection of hydrocarbons[J]. International Journal of Remote Sensing, 2004,25(12):2467-2473.
doi: 10.1080/01431160310001642287
Wang J M, Wang J Y . Low-amplitude structures and oil-gas enrichment on the Yishaan Slope, Ordos Basin[J]. Petroleum Exploration and Development, 2013,40(1):49-57.
Li Z H, Chen Z J, Yu L , et al. Study on the potential of forming reservoir in Upper Paleozoic layer,Qing-yang area[J]. Ground Water, 2015,37(6):245-247.
Yang H, Fu J H, Liu X S , et al. Accumulation conditions and exploration and development of tight gas in the Upper Paleozoic of the Ordos Basin[J]. Petroleum Exploration and Development, 2012,39(3):295-303.
[10]
张天宇 . 基于高光谱遥感的黄土覆盖区油气微渗漏信息提取[D]. 长春:吉林大学, 2015.
Zhang T Y . Extraction of Micro-Seepage of Oil and Gas Information in Loess Covered Area Based on Hyperspectral Remote Sensing[D]. Changchun:Jilin University, 2015.
Yi H, Li J Q, Han H H , et al. Application of remote sensing in integrated survey on mineral exploration in Beketan,Altyn[J]. Geological Survey of China, 2016,3(4):1-5.
Yan B K, Dong X F, Wang Z , et al. Mineral information extraction technology by airborne hyperspectral remote sensing and its application progress:An example of mineralization belts of western China[J]. Geological Survey of China, 2016,3(4):55-62.
2018, Vol. 30 
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