光谱成像信息的数据融合技术在储层表征中的应用  

Application of Data Fusion of Microscopic Spectral Imaging in Reservoir Characterization

作　　者：李静[1] 查明[2] 郭元岭[3] 陈勇[2] 

机构地区：[1]中国石油大学(华东)储运与建筑工程学院,山东青岛266555 [2]中国石油大学(华东)地球科学与技术学院,山东青岛266555 [3]中国石化胜利油田分公司勘探处,山东东营257002

出　　处：《光谱学与光谱分析》2011年第10期2639-2642,共4页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(40772081);中国石油股份有限公司重点科技攻关项目(HBYT-WTY-2008-JS-1)资助

摘　　要：光谱成像技术在矿物学和岩石学方面已得到广泛应用,然而,面对数量巨大、覆盖范围广阔的目标成像光谱数据,如何从中获取所需要的信息,并对其进行信息增强是需要亟待解决的问题。将显微红外光谱成像分析系统得到的实验结果,利用显微光谱成像信息的数据融合技术进行了数据处理,得到岩心样品中不同化学组分、基团的空间分布图。结果表明,利用该技术更好地揭示了不同烃类在岩石中的分布情况、孔隙的连通性等信息,显微光谱成像信息的数据融合技术为储层表征提供了一种新方法。In recent years, spectral imaging technique has been applied widely in mineralogy and petrology. The technique combines the spectral technique with imaging technique. The samples can be analyzed and recognized both in spectra and space by using the technique. However, the problem is how to acquire the needful information from a large number of data of spectral imaging, and how to enhance the needful information. In the present paper, the experimental data were processed by using the technique of data fusion of microscopic spectral imaging. The space distribution map of chemical composition and physical parameters of samples were obtained. The result showed that the distribution of different hydrocarbon in the reservoirs, pore connectivity, etc. were revealed well. The technique of data fusion of microscopic spectral imaging provided a new method for reservoir characterization.

关 键 词：光谱成像 数据融合 显微红外光谱 储层表征 

分 类 号：O433.1[机械工程—光学工程]