介绍了一种利用棒状薄层色谱-氢火焰离子化检测器联用技术(TLC-FID)预测储层中稠油牯度的方法,方便、快捷、经济.该方法包括3个步骤:首先,在工作区块内选取代表性稠油样品,用柱色谱制备出饱和烃、芳烃、非烃,沥青质组分,标定各组分在TLC-FID上的相对峰面积-质量校正系数;在此基础上,对一定数量稠油样品进行粘度测定和TLC-FID分析,建立工作区内稠油粘度与TLC-FID数据之间的指数数学关系;最后,测定待预测油层油砂抽提物的TLC-FID数据,通过所建立的数学关系计算其粘度.文中基于我国某油田特定区块的27个稠油样品,对该油田一口单井的152个油砂样品进行了应用研究,建立了该井的储层稠油粘度剖面,与实际情况基本吻合.%A thin layer chromatography-flame ionization detection (TLC-FID) technique was introduced in this paper to predict the viscosity of heavy oil in reservoir. The new method was convenient, efficient and economic. It took 3 steps. First, representative heavy oil samples were collected from oilfield, and the relative mass-to-area responses of aliphatic, aromatic, resin and asphaltene fractions of oil were determined respectively through preparing the fractions with column liquid chromatograph. Second, TLC -FID analysis and viscosity test of a certain amount of heavy oil samples were carried out, establishing an exponent mathematical relationship between them. Finally, viscosity of the to-be-predicted heavy oil could be calculated with TLC-FID data of the extract of oil sand according to above relationship. The method was practiced to establish viscosity profile of single well in an oil production area of China through analyzing 27 heavy oils from the area and 152 extracts of oil sands from the well, and the result achieved was reasonable.
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