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Remote Sensing for Land & Resources    2018, Vol. 30 Issue (2) : 107-113     DOI: 10.6046/gtzyyg.2018.02.15
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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
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Abstract  

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.
Keywords hyper-spectrum      hydrocarbon micro-seepage      band ratio      alteration anomaly      TG-1     
:  TP79  
Corresponding Authors: Jie CHEN     E-mail: 187369859@qq.com;6592296@qq.com
Issue Date: 30 May 2018
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Dachang YANG
Jie CHEN
Zihong GAO
Yachao HAN
Cite this article:   
Dachang YANG,Jie CHEN,Zihong GAO, et al. Extraction of hydrocarbon micro-seepage information based on TG-1 hyperspectral data[J]. Remote Sensing for Land & Resources, 2018, 30(2): 107-113.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.02.15     OR     https://www.gtzyyg.com/EN/Y2018/V30/I2/107
Fig.1  Hyper-spectral information extraction procedure of oil and gas micro-seepage
载荷 主要应用技术指标
谱段 光谱范围/nm 有效波段数/个 空间分辨率/m 光谱分辨率/nm 幅宽/km
TG-1高光谱成像仪 全色 500~800 1 5 — 20
可见光—近红外 400~1 000 64 10 10 10
短波红外 1 000~2 500 64 20 23 10
热红外 — 1 10 — 15
EO-1 Hyperion 可见光—近红外 356~1 058 70 30 10 7.5
短波红外 852~2 577 172 30 10 7.5
Proba CHRIS 模式1 406~1 003 62 34 6~20 13
模式2 406~1 036 18 17 6~33 13
模式3 438~1 035 18 17 6~33 13
模式4 486~796 18 17 6~11 13
模式5 438~1 036 34 17 6~33 13
Tab.1  Comparison of TG-1 hyperspectral imaging system and the other space sensors
Fig.2  Continuum removed spectral curves of typical clay minerals
矿物名称 英文 吸收位置 反射位置1 反射位置2 反射位置3 反射位置4
高岭石 Kaolinite 2 205 753.5~1 273.5 1 503.5~2 025 2 225~2 265 —
蒙脱石 Montmorillonite 2 215和1 915 753.5~1 323.5 1 546.0~1 835 2 055~2 175 2 255~2 295
白云母 Muscovite 2 205 750.5~1 368.5 1 503.5~2 135 2 255~2 295 —
Tab.2  Statistic of typical clay mineral’s standard spectral features(nm)
Fig.3  Standard band curve comparison among minerals with three different iron ions
矿物名称 英文 吸收位置 反射位置1 反射位置2 反射位置3
Fe3+矿物 赤铁矿 Hematite 835.0~904.0 710.0~769.0 1 218.5~2 355.0 —
针铁矿 Goethite 883.0~976.0 728.0~806.5 1 288.5~1 612.5 —
黄钾铁矾 Jarosite 871.0~964.0 676.2~740.0 1 323.5~1 418.5 1 570.5~1 815.0
菱铁矿(Fe2+矿物) Siderite 1 000.0~1 288.5 746.0~835.0 1 684.0~1 875.0 2 045.0~2 205.0
褐铁矿(混合矿物) Limonite 957.0 740.0~785.0 1 368.5~1 885.0 2 115.0~2 155.0
Tab.3  Statistics of spectral features of different iron ions(nm)
Fig.4  Hydrocarbons spectrum
Fig.5  Extraction thematic maps of oil and gas micro-seepage
Fig.6  Comprehensive information extraction thematic map of oil and gas micro-seepage in Qingyang area
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