Remote Detection of Hydrocarbon Microseepage in a Loess Covered Area

Liang Zhao; Daming Wang; Shengbo Chen; Lin Li; Tianyu Zhang

doi:10.1007/s12583-019-1235-8

Volume 31 Issue 1

Jan 2020

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Journal of Earth Science > 2020 > 31(1): 207-214.

Liang Zhao, Daming Wang, Shengbo Chen, Lin Li, Tianyu Zhang. Remote Detection of Hydrocarbon Microseepage in a Loess Covered Area. Journal of Earth Science, 2020, 31(1): 207-214. doi: 10.1007/s12583-019-1235-8

Citation:

Liang Zhao, Daming Wang, Shengbo Chen, Lin Li, Tianyu Zhang. Remote Detection of Hydrocarbon Microseepage in a Loess Covered Area. Journal of Earth Science, 2020, 31(1): 207-214. doi: 10.1007/s12583-019-1235-8

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Remote Detection of Hydrocarbon Microseepage in a Loess Covered Area

doi: 10.1007/s12583-019-1235-8

1.
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China
2.
Division of Petroleum Geology, China Geological Survey, Beijing 100037, China
3.
Department of Earth Sciences, Indiana University-Purdue University Indianapolis, Indianapolis 46202, USA
4.
College of Earth Science, Jilin University, Changchun 130061, China

More Information

Corresponding author: Liang Zhao
Received Date: 25 Oct 2018
Accepted Date: 12 Apr 2019
Publish Date: 01 Jan 2020

Abstract

Abstract

Hydrocarbon microseepage can result in related near-surface mineral alterations. In this study, we evaluated the potential of detecting these alterations with field measured and satellite acquired hyperspectral data. Fourteen soil samples and reflectance spectra were collected in the Xifeng Oilfield, a loess covered area. Soil samples were analyzed in the laboratory for calcite, dolomite, kaolinite, illite, and mixed-layer illite/smectite content, and we processed reflectance spectra for continuum removal to derive clay and carbonate mineral absorption depth (H). High correlation between absorption depth and mineral content was shown for clay and mineral carbonate with field measured spectra. Based on the result for the field spectra, we proposed and tested a fast index based on the absorption depth of clay and carbonate minerals with a hyperspectral image of the area. The detected hydrocarbon microseepage anomalies matched well with those shown in the geological map.
- hyperspectral remote sensing,
- hydrocarbon microseepage,
- spectrum absorption parameters,
- multiple regression analysis,
- fast index,
- geochemistry

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References(31)

References

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