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1 Department of Earth Sciences, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang 310027, China
2 Department of Earth Sciences, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang 310027, China
3 Department of Earth Sciences, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang 310027, China; shenxh{at}zju.edu.cn
4 Department of Earth Sciences, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang 310027, China
5 Zhejiang Information Center of Land and Resources, Hangzhou, Zhejiang 310007, China
6 Department of Earth Sciences, Zhejiang University, 38 Zheda Road, Hangzhou, Zhejiang 310027, China
Guifang Zhang is currently a Ph.D. student at the Department of Earth Sciences of Zhejiang University. She received her B.S. degree (2004) in geography information science (GIS) from the Zhejiang University. Her major research interests concern resource detection and environment assessment by remote sensing and GIS.
Lejun Zou is a professor at the Department of Earth Sciences of Zhejiang University. He received his B.S. degree (1986) and his M. A. degree (1989) in geology from Zhejiang University. He has more than 10 years of experience researching for mathematical geology and computer simulation.
Xiaohua Shen is a professor at the Department of Earth Sciences of Zhejiang University. He holds a B.S. degree (1982) in geology from the Zhejiang University. His research interests include geology and sedimentology.
Shanlong Lu is currently a Ph.D. student at the Department of Earth Sciences of Zhejiang University. He received his B.S. degree (2003) in geology from Hunan University of Science and Technology. His research interests are remote sensing and geology.
Changjiang Li is the head engineer of the Zhejiang Information Center of Land and Resources. He received his M.A. degree (1982) in geology from Zhejiang University. He has more than 30 years of experience in the research fields of mathematical geology and geochemical exploration.
Hanlin Chen is a professor at the Department of Earth Sciences of Zhejiang University. He received his B.S. degree (1986) in geology from Nanjing University and his M.A. degree (1989) and Ph.D. (1998) in structural geology from Zhejiang University. His research fields are structural geology and petroleum geology.
ABSTRACT
Landsat-7 enhanced thematic mapper plus (ETM+) imagery was used to identify anomalous areas caused by hydrocarbon leakage in Fula'erji in the western slope of Songliao Basin, China. Three image enhancement techniques, including principal component analysis (PCA), band ratioing, and false-color composition (FCC), were used. Based on the spectral characteristics of hydrocarbon-induced minerals and the eigenvectors of PCA, the best four principal components (PCs), 1345-PC3 (the third component of the PCA on bands 1, 3, 4, and 5), 1357-PC3, 3457-PC4, and 123457-PC4, were selected for FCC combined with band ratios of 3/1, 4/3, and 7/5. According to the tonal characteristics of the surface near wells and their visual expression, four FCC images were acquired for hydrocarbon-induced area delineation. The result indicates that anomalies are expressed as a faint tone blob and are mostly located in the Holocene sediments. An analysis of two cross sections traversing the identified anomalies suggests that they are closely related to the anomalous area interpreted from the four FCC images. Field data of magnetic susceptibility and delta carbonate are consistent with the distribution of the tonal anomalies and suggest a positive spatial association between the identified anomalous area and the hydrocarbon leakage environment.
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