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地震各向异性流体检测技术在胜利油田垦71井区的应用(英文)
引用本文:毕丽飞,钱忠平,张峰,陈晓燕,韩世春,Mark Chapman.地震各向异性流体检测技术在胜利油田垦71井区的应用(英文)[J].应用地球物理,2011,8(2):117-124.
作者姓名:毕丽飞  钱忠平  张峰  陈晓燕  韩世春  Mark Chapman
作者单位:中国地质大学(武汉);胜利油田物探院;东方地球物理公司物探技术研究中心;UK Imperial College;London;SW72AZ;胜利油田钻井工程技术公司;The University of Edinburgh;Edinburgh;EH9 3LA;
基金项目:supported by the National 863 Program (Grant No. 2007AA060505)
摘    要:根据Chapman理论模型,在各向异性介质(如HTI介质)中,当入射角在0-45。范围内,慢横波会发生较大的衰减和频散,且对流体粘度敏感,而P波和快横波则比较小。对于沿裂隙法向传播的慢横波,其振幅受流体影响很大。因此,在P波响应对流体不敏感的情况下,可利用慢横波来获得裂隙型油气藏的流体信息。本文分析了胜利油田垦71地区三维三分量地震数据,检测出的慢横波振幅和旅行时异常与该区的测井资料十分吻合。分析结果还发现,与含油区相比,含水区会产生更高的横波分裂。在含水区,慢横波振幅会产生明显变化,而在含油区则几乎没有变化。

关 键 词:各向异性  慢横波  流体检测

Application of seismic anisotropy fluid detection technology in the Ken 71 well block of Shengli Oilfield
Li-Fei Bi,Zhong-Ping Qian,Feng Zhang,Xiao-Yan Chen,Shi-Chun Han,Mark Chapman.Application of seismic anisotropy fluid detection technology in the Ken 71 well block of Shengli Oilfield[J].Applied Geophysics,2011,8(2):117-124.
Authors:Li-Fei Bi  Zhong-Ping Qian  Feng Zhang  Xiao-Yan Chen  Shi-Chun Han  Mark Chapman
Institution:Bi Li-Fei1,2,Qian Zhong-Ping3,Zhang Feng4,Chen Xiao-Yan5,Han Shi-Chun2,and Mark Chapman61.China University of Geoseince(Wuhan),Wuhan 430074,China.2.Shengli Geophysical Institute,Dongying 257001,China.3.BGP Geophysical Research Center,Zhuozhou 072751,China.4.UK Imperial College,London,SW7 2AZ,UK.5.Drilling Engineering Technology Comp.,Shengli Oilfield,Dongying 257064,China.6.The University of Edinburgh,Edinburgh,EH9 3LA,UK.
Abstract:On the basis of Chapman’s (2003) model, as the seismic wave incidences angles vary from 0° to 45° while propagating in anisotropic media (HTI), the slow S-wave will sufferred by serious attenuation and dispersion and is sensitive to fluid viscosity but the P- and fast S-waves don’t. For slow S waves propagating normal to fractures, the amplitudes are strongly affected by pore fluid. So, the slow S-wave can be used to detect fractured reservoir fluid information when the P-wave response is insensitive to the fluid. In this paper, 3D3C seismic data from the Ken 71 area of Shengli Oilfield are processed and analyzed. The travel time and amplitude anomalies of slow S-waves are detected and correlated with well log data. The S-wave splitting in a water-bearing zone is higher than in an oil-bearing zone. Thus, the slow S-wave amplitude change is more significant in water-bearing zones than in oil-bearing zones.
Keywords:anisotropy  slow S-wave  fluid detection  
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