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圈闭含油气性评价研究进展 被引量:6

Research progress of evaluation on oil and gas in reservoir
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摘要 在油气勘探过程中,圈闭含油气性评价越来越受到重视。评价圈闭含油气性的主要参数为圈闭的充满度和含油饱和度。圈闭含油气性评价隶属于圈闭评价范畴,其研究内容主要包括圈闭地质特征分析、圈闭含油气性主控因素分析、圈闭成藏机理研究及圈闭综合评价4个方面。对于不同盆地、凹陷及不同构造带上的不同圈闭类型,因其勘探程度不同,圈闭含油气性的评价方法也存在差异性,多种评价方法的应用是现今圈闭含油气性评价的客观现实。圈闭评价方法的局限性,给评价圈闭含油气性带来了较大风险,其评价技术还有待深入研究。目前随着隐蔽油气藏勘探的深入,在中国东部形成了一套针对岩性圈闭含油气性评价的方法,并取得了较好的勘探效果,对进一步研究圈闭含油气性具有一定的借鉴意义。 The evaluation for oil and gas prospect of traps is more and more important for the activities of oil and gas exploration.The main parameters of oil and gas evaluation are fullness degree of the trap and oil saturation of the reservoir.The evaluation for oil and gas in traps belongs to the trap evaluation,and its research include four main aspects,(1)the analysis on geological characteristics of traps.(2)the analysis on main controlling factors of the oil and gas prospect of traps,(3)the study of oil accumulation mecha-nism and(4)lhe comprehensive evaluation of traps.Because the exploration degree for traps of different types is different in dif-ferent basins,depressions and structural belts,the evaluation methods of the oil and gas prospect of traps are also different,so it is a reality that many evaluation methods should be comprehensively applied in the evaluation for oil and gas prospect of traps.But every method has its limitation,thus,the evaluation for oil and gas prospect of traps has a relatively high risk,so the evalua-tion technique needs further research.At present,with the deep exploration of subtle reservoirs,a set of method and technique for oil and gas prospect evaluation of lithologic traps is proposed and tested in the east China,and it has shown good exploration effects that may be of referential meaning in the further research on evaluation of oil and gas in reservoir.
出处 《油气地质与采收率》 CAS CSCD 北大核心 2010年第2期37-41,共5页 Petroleum Geology and Recovery Efficiency
基金 国家重点基础研究发展规划"973"项目"中国西部典型叠合盆地油气成藏机制与分布规律"(2006CB202300)
关键词 圈闭含油气性 充满度 含油饱和度 主控因素 评价方法 oil and gas prospect of traps fullness degree main controlling factors evaluation methods
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