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俄罗斯西伯利亚地台油气成藏条件与分布规律
引用本文:陶高强,董清水,聂辉,张凯文,楼仁兴.俄罗斯西伯利亚地台油气成藏条件与分布规律[J].世界地质,2012,31(1):139-147.
作者姓名:陶高强  董清水  聂辉  张凯文  楼仁兴
作者单位:1. 吉林大学地球科学学院,长春130061; 2. 吉林大学油页岩实验中心,长春130061
基金项目:全球油气地质综合研究与区域优选项目(GT-YQ-QQ-2008-2-07)
摘    要:俄罗斯西伯利亚地台油气资源潜力巨大,勘探程度低,是中国石油公司海外油气勘探开发的重要目标区之一。以构造单元类型为基础,通过对西伯利亚地台油气成藏条件、圈闭类型及油气分布等特征的综合分析初步得出: 控制西伯利亚地台油气分布的因素主要为构造作用及地层与烃源岩发育特征,油气成藏模式主要为自生自储式; 油气藏主要分布于不发育地盾的克拉通内部隆起区及大陆边缘坳陷中,前者的富油气层位主要为文德系-寒武系,后者的富油气层位主要为二叠系-侏罗系; 油气藏类型主要为地层--构造复合型。

关 键 词:西伯利亚地台  油气成藏条件  分布规律  成藏模式

Reserch on hydrocarbon accumulation condition and distributive regulation of Siberian platform, Russia
TAO Gao-qiang , DONG Qing-shui , NIE Hui , ZHANG Kai-wen , LOU Ren-xing.Reserch on hydrocarbon accumulation condition and distributive regulation of Siberian platform, Russia[J].World Geology,2012,31(1):139-147.
Authors:TAO Gao-qiang  DONG Qing-shui  NIE Hui  ZHANG Kai-wen  LOU Ren-xing
Institution:1. College of Earth Sciences,Jilin University,Changchun 130061,China; 2. Oil-shale Laboratory Center,Jilin University,Changchun 130061,China
Abstract:Siberian platform of Russia has tremendous potential prediction in hydrocarbon but poor in exploration research.The platform is one of the important target areas of overseas hydrocarbon exploration and for the CNPC.On the basis of the types of tectonic units,the comprehensive analysis results of hydrocarbon accumulation condition,trap type and hydrocarbon distribution characteristics,show that the key factors that controlling the hydrocarbon distribution of Siberian platform are tectonic action and the characteristics of strata and source rocks;the model of hydrocarbon accumulation is characterized by being generated and reserved indigenously.Hydrocarbon reservoirs mainly distributed in uplifted areas of cratonic margin without shield and depressions of continental margin,the former hydrocarbon enriched layer lay in Permian-Jurassic,and the latter in Vendian-Cambrian.The main type of hydrocarbon reservoir is stratigraphical-structural composite.
Keywords:Siberian platform  hydrocarbon accumulation condition  distribution rule  accumulation model
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