Study On The Hyperspectral Information Extraction Of Oil And Gas Microseepage

Ordos Basin in DongSheng in the eastern edge of the North China regions was the place in which we start oil and gas exploration early. However, due to the low level of exploration and the reason of time, there is a lot of work needed to be further implemented.This paper bases on the theories of traditional multi-spectral means of geology for oil, in order to explore the space-based hyperspectral remote sensing data of hydrocarbon microseepage identification and extraction of information technology. With the method of hyperspectral remote sensing, we can further extract the information of the microleakage distribution of oil and gas spatial in Dongsheng. Accelerate the application of hyperspectral remote sensing in the oil and gas extracting information.1, Analysis the data of On-board Hyperion hyperspectral. Make suitable image preprocessing for hyperspectral satellite data. Conduct the research of high spectral data information mining technology. doing comprehensive evaluation to data quality and determine the relative amount of information each band contains, lay a solid foundation to the following information extraction and data applications;2, Develop the study of Oil and gas microseepage and carry though spectrum study of alteration typical mineral ion curve. Determine its characteristic absorption sites and absorption depth, width and so on. Analysis and compare the typical ion spectral curve comprehensively. The study object including two ferric ions, trivalent iron ions, hydroxyl ions, carbonate ion and the characteristics of hydrocarbon lines;3, Start the study of hyperspectral extraction method of oil and gas microseepage information. According to the characteristic absorption sites extracting the typical alteration information with the methods of band ratio and information-enhance. Integrate data and information of multiple remote sensing. Though mastering ASTER data extracting the information of carbonate ion surface alteration and thermal anomalies;4, Using a model of eigenvector length of the study area, perform an composite index evaluation on oil and gas microseepage, establish comprehensive evaluation model in the research area. Through the overlay to the uranium deposits in the study area, discussion the relations between oil microseepage and uranium mineralization, Raised the new method of prospecting radioactive uranium mine.