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莺歌海盆地D气田气层连续性检测方法与应用研究 被引量:1

Gas reservoir continuity detection method and its application in D gas field of Yinggehai basin,South China Sea
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摘要 南海莺歌海盆地D气田莺歌海组主要为临滨—滨外沉积环境,泥流冲沟发育,纵向上岩性组合复杂,出现若干岩性"亮点",平面上储层非均质性强,气层横向分布不连续,给油气检测带来了很大困难。提出一种扩展AVO流体检测技术,即将AVO属性与岩石物理分析确定的流体敏感弹性参数关联起来,构建出对流体敏感的AVO指示因子属性,利用该属性来刻画有效储层和泥冲沟的分布特征,进而识别岩性、开展烃类检测与储层预测。理论模型验证与实际应用效果表明,AVO流体指示因子与含水饱和度曲线对应关系最好,对流体最为敏感。与叠前反演技术相比,由于该技术无须建模,不存在模型化效应,因而横向分辨率更高;与常规AVO属性分析技术相比,本文技术得到的剖面信噪比更高,含水背景能量受到压制,异常多解性大幅降低,可以很好地识别真假"亮点"和表征气层连续性。 Yinggehai Formation of D gas field in Yinggehai basin of South China Sea is mainly of nearshoreoffshore sedimentary environments in which mud gullies develop and lithology association is complex vertically with some lithology"bright spots".The reservoir heterogeneity is strong and gas distribution is not continuous horizontally,which cause great difficulty to hydrocarbon detection.An extended AVO fluid detection technology is proposed,which correlates the AVO attributes with fluid-sensitive elastic parameters determined by petrophysical analysis.Then fluid-sensitive AVO indicator attributes are built,which can be used to depict distribution characteristics of the effective reservoir and the mud gullies,and then to identify lithology and carry out hydrocarbon detection and reservoir prediction.Theoretical model verification and practical application results show that AVO fluid indicators are best corresponded with water saturation curve and most sensitive to fluid.Compared with pre-stack inversion technology,the proposed technology has no need to model,so there is no modeling effect and the horizontal resolution is higher.Compared with the conventional AVO attribute analysis technology,the cross-section signal-noise ratio obtained by this technology is higher,the water background energy is suppressed and the abnormality is greatly reduced,which can well identify the"bright spot"and characterize gas reservoir continuity.
出处 《中国海上油气》 CAS CSCD 北大核心 2017年第6期61-66,共6页 China Offshore Oil and Gas
基金 中国海洋石油总公司"十二五"科技重大项目"海上在生产油气田挖潜增效技术研究(编号:CNOOC-KJ 125 ZDXM06 LTD)"部分研究成果
关键词 扩展AVO分析 流体指示因子 烃类检测 莺歌海盆地 extended AVO analysis fluid indicator hydrocarbon detection Yinggehai basin
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