| China Geological Survey Chinese Academy of Geological Sciences | Host |
| 科学出版社 | Publish |
| Citation: |
LIU Dechang, QIU Junting, TONG Qinlong, XIE Tao, YANG Yanjie, WANG Zitao. 2018. Airborne hyperspectral study of spatial relationship between oil and gas leakage and salinization in Jimusar area[J]. Geology in China, 45(5): 1062-1073. doi: 10.12029/gc20180513
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Airborne hyperspectral study of spatial relationship between oil and gas leakage and salinization in Jimusar area
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Abstract
Oil and gas leakages in the Jimusar area are spatially associated with salinization. In this study, the airborne hyperspectral image of the Jimusar region with a total area of 2500 km2 in Xinjiang was obtained by using CASI/SASI imagery of the National Key Laboratory of Science and Technology on Remote Sensing Information and Image analysis. The dataset was used to extract oil leakage information by using newly developed classification method. Seven oil leakage areas were detected. In addition, the extraction model for soil salt was also developed and applied to study the distribution of soil salt in the Jimasar region. Based on the superposition analysis of oil and gas anomaly area and salinization anomaly area, the authors detected a high degree of coincidence in the spatial location of the two ares. The authors believe that this hyperspectral remote sensing detection not only has theoretical significance but also has practical value. Its practical value is mainly reflected in the hyperspectral remote sensing oil and gas exploration. Through the mutual confirmation of hydrocarbon information, one can reduce redundant information of oil and gas leakage and improve the accuracy of oil and gas leakage identification. Additionally, in the absence of aerospace hyperspectral remote sensing data sources, satellite multispectral remote sensing data can also be used to extract the salinization anomalies and delineate the anomalous areas of salinization and alkalinization, thereby helping to narrow the target areas for oil and gas exploration. The results obtained by the authors indicate that the salinization of nature may not be wholly attributed to "dry evaporation", and there may be oil and gas related salinization. The distinguishing between these two kinds of salinization is a scientific problem worthy of in-depth discussion, especially in the field of hyperspectral remote sensing.
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References
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LIU Dechang, QIU Junting, TONG Qinlong, XIE Tao, YANG Yanjie, WANG Zitao. 2018. Airborne hyperspectral study of spatial relationship between oil and gas leakage and salinization in Jimusar area[J]. Geology in China, 45(5): 1062-1073. doi: 10.12029/gc20180513
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Figure 1.
ETM image of Jimusar region
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Figure 2.
Regional tectonics of Jimusar region
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Figure 3.
Geological map of Jimusar region
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Figure 4.
Flow chart of data processing
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Figure 5.
Oil and gas anomalies in north Jimusar region
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Figure 6.
Distribution of validated oil and gas leakage in north Jimusar region
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Figure 7.
Photograph of the oil and gas leakage in the field
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Figure 8.
Photograph showing the spatial relationship between oil leakage and salinization
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Figure 9.
Reflectance spectrum of alkali(a), Logarithm of reciprocal reflectance spectrum of alkali(b), Derivative of reflectance spectrum of alkali(c)
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Figure 10.
Distribution of alkali in north Jimusar region
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Figure 11.
Spatial relationship between oil and gas leakage and alkali
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Figure 12.
Field validation alkali in A and B zone in Jimusar region