植被覆盖地区的高光谱油气勘探技术研究现状

李倩倩; 许宁

植被覆盖地区的高光谱油气勘探技术研究现状

李倩倩^{1, 2},
许宁^{1, 2, 3}

1.
中国科学院空间信息处理与应用系统技术重点实验室, 北京 100190
2.
中国科学院电子学研究所, 北京 100190
3.
中国科学院大学, 北京 100049

基金项目:

中国地质调查局地质调查项目"地质勘查遥感系统集成与综合应用示范" 1212011120226

详细信息

作者简介:
李倩倩, 助理研究员, 主要研究方向为遥感影像预处理与产品生产

中图分类号: TE19
计量
- 文章访问数: 184
- HTML全文浏览量: 62
- PDF下载量: 7
- 被引次数: 0
出版历程
- 收稿日期: 2014-12-08
- 刊出日期: 2015-06-01

CURRENT STATUS OF HYPERSPECTRAL TECHNIQUES FOR OIL AND GAS EXPLORATION IN VEGETATION COVERING AREA

LI Qian-qian^{1, 2},
XU Ning^{1, 2, 3}

1.
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, IECAS, Beijing 100190, China
2.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
3.
University of Chinese Academy of Sciences, Beijing 100049, China

摘要

摘要: 高光谱遥感油气勘探技术利用油气微渗漏所致的地表蚀变矿物异常和地植物异常在光谱上的异常表现提取油气微渗漏信息, 是油气勘探的辅助手段。针对高光谱遥感油气勘探技术在植被覆盖区应用中存在的植被遮挡地表真实情况的问题开展研究, 总结相关领域的国内外研究现状, 指出其存在的问题, 提出了与植被反射率相关的指数作为油气微渗漏的指示标志, 确定了适用于植被覆盖区的高光谱遥感油气微渗漏信息大面积普查的工作流程, 研究成果可为建立更加广泛、适用的高光谱遥感油气勘探模式提供新的参考依据。
- 高光谱 /
- 遥感 /
- 油气微渗漏 /
- 植被
Abstract: The technology of oil-gas exploration using hyperspectral remote sensing is based on the spectrum anomalies of alteration minerals and plants to extract the information of hydrocarbon microseepage, which is an auxiliary means of oil and gas exploration. But in the study area covered by vegetation, the real situation of the surface is occluded by the existence of vegetation, which will affect the application efficiency to the technology of oil-gas exploration using hyperspectral remote sensing. In order to explore the solution of this block, the real situation of the related domestic and foreign researches is summarized and the existing problems are pointed out. The vegetation reflectance indices which can be used as the indication sign of hydrocarbon microseepage are summed up, and the work flow which can apply to the large area census of hydrocarbon microseepage using hyperspectral remote sensing is put forwarded. The research result of this paper provide a new reference for the establishment of the more extensive and applicable work model of oil and gas exploration using hyperspectral remote sensing.
- hyperspectral /
- remote sensing /
- oil and gas microseepage /
- vegetation

HTML全文

图 1 绿色植被典型反射光谱曲线

Figure 1. Typical spectral reflectance of green vegetation

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图 2 可见光和近红外波段叶片反射率光谱影响因素

Figure 2. The main factors affecting the reflectance spectroscopy of plants in the visible and near infrared bands

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图 3 实验室模拟烃类渗漏环境^[15]

Figure 3. Laboratory simulation of hydrocarbon seepage environment

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图 4 油气宏观渗漏^[16]

Figure 4. Macro leakage of oil and gas

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图 5 油气渗漏点周围植被可视症状明显^[4]

Figure 5. Visual symptoms of plants surrounding the location of oil and gas seepage

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