HYDROCARBON MICROLEAKAGE INFORMATION EXTRACTION BASED ON ASTER DATA AND REFLECTANCE SPECTROSCOPY
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摘要:
选取陕西省榆林气田地区为研究区, 利用ASTER数据多波段的优势, 在研究区开展了基于波段运算和主成分分析的二价铁、黏土矿化以及碳酸盐矿化等烃类微渗漏蚀变信息提取, 圈出4个有效靶区; 并利用ASTER数据的热红外波段进行基于分裂窗简化算法的温度反演得到研究区的温度图像以验证靶区的有效性, 温度反演结果中高温异常区和靶区范围基本吻合; 最后对USGS光谱库中常见蚀变矿物光谱、研究区实测光谱以及原油光谱进行综合分析, 进一步验证靶区有效性, 多种方法相结合以提高烃类微渗漏蚀变信息提取精度。
Abstract:Shaanxi Province, Yulin gas field selected for the study area, using the advantages of multi-band ASTER data, we carried out divalent iron, clay and carbonate mineralization hydrocarbon micro-seepage alteration information extraction based band operation and principal component analysis in the study area and circled the four valid target; then using ASTER data thermal infrared band to do temperature inversion based split window simplification algorithm to get temperature image of the study area in order to verify the validity of the target area, and the high temperature anomaly area in temperature inversion map were consistent with the target ranges. Finally, the common alteration minerals spectrum of USGS spectral library, were comprehensively analyzed, and study area measured spectra and crude oil spectra to verify the effectiveness of the target. This article aimed to improve hydrocarbon micro-seepage alteration information extraction accuracy with various methods.
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Key words:
- ASTER /
- hydrocarbons /
- microleakage /
- temperature
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