| 高光谱遥感油气探测技术 |
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| 引用本文： | 汪大明,肖晨超,李志忠,倪国强,吴小娟,隋正伟.高光谱遥感油气探测技术[J].地球科学,2015,40(8):1301-1309. |
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| 作者姓名： | 汪大明 肖晨超 李志忠 倪国强 吴小娟 隋正伟 |
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| 作者单位： | 1.中国地质调查局油气资源调查中心, 北京 100029 |
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| 基金项目： | 国家高技术研究发展计划(863计划)项目2008AA121100国家高技术研究发展计划(863计划)项目2012AA12A308国家自然科学基金项目41402293 |
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| 摘 要： | 高光谱遥感探测技术已成为探测油气藏的前沿新技术之一.研究以油气微渗漏地表共生异常理论为基础, 采用基于小波主成份分析(principal component analysis, PCA)最大似然分类、端元提取分类、光谱库典型蚀变光谱分类和植被指数决策树分类方法, 对榆林典型稀疏植被地区的进行油气勘探, 提取了与烃异常相关的粘土、碳酸盐、植被异常等相关的专题信息产品, 得出综合异常区图.对照分析已知气井与油气异常区分布, 证明了油气微渗漏信息的提取与识别方法的有效性.
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| 关 键 词： | 高光谱遥感 油气探测 小波PCA 端元提取 光谱库 植被指数 遥感 决策树分类 |
| 收稿时间： | 2015-09-15 |
Hyperspectral Remote Sensing Technology in Oil and Gas Exploration |
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| Abstract: | Hyperspectral remote sensing technology is new in oil and gas exploration. Based on the theory of abnormal surface symbiosis with oil and gas microseepage, four typical classifications, maximum likelihood classification in the wavelet-based principal component analysis, endmember extraction, typical alteration classification with spectral libraries and decision tree classification based on vegetation indices are chosen to carry a case study of Hyperion images in Yulin, to obtain the related thematic maps such as clay, carbonate, vegetation and determine six comprehensive anomalous areas. A comprehensive analysis of the distribution of existing gas well and oil-gas anomalous areas show that the information extraction method of oil and gas microseepage is valid. |
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