基于角度部份叠加地震数据的流体识别技术
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摘要
角度部份叠加地震数据是对叠前和叠后两种数据的优点进行了折中,既具有相对较高的信噪比,又保留了丰富的信息量,所以从角道集出发研究流体识别和储层预测,能够更加准确、可靠。这里以Zoeppritz方程的Shuey近似为基础,借鉴Sm ith提出的流体因子表示方法,提出了三种流体识别和储层预测的方法与技术,从而为油藏精细描述提供较为可靠的依据。应用模型和实际数据对作者提出的方法进行了验证,结果证明了本方法可以有效地预测储层,识别流体。
Angle partial stack data is the compromise of merits of seismic prestack data and post-stack data.It has higher signal-to-noise and can keep abundant information.It is more accurate and reliable for fluid identification and reservoir prediction from angle partial stack data.Learning from representation of Smith's fluid factor,this paper proposed three fluid identification and reservoir prediction methods and techniques based on Shuey approximation,which provides a reliable basis for reservoir description.Models and real seismic data are used to test the methods.The results showed that the methods in this paper can effectively predict reservoir and identify fluid.
Angle partial stack data is the compromise of merits of seismic prestack data and post-stack data.It has higher signal-to-noise and can keep abundant information.It is more accurate and reliable for fluid identification and reservoir prediction from angle partial stack data.Learning from representation of Smith's fluid factor,this paper proposed three fluid identification and reservoir prediction methods and techniques based on Shuey approximation,which provides a reliable basis for reservoir description.Models and real seismic data are used to test the methods.The results showed that the methods in this paper can effectively predict reservoir and identify fluid.
引文
[1]SHUEY R T.Asimplification of the Zoeppritz equations[J].Geophysics,1985(50):609.
[2]SMITHG C,IDLOW P M.The Fluid Factor Angle[J].EAGE 65th Conference&Exhibition,2003:2.
[3]CANDES E J.Ridgelets:theory and applications[D].USA:Department of Statistics,Stanford University,1998.
[4]CANDES E J,DONOHO D L.New tight frames of cur-velets and optimal representations of objects with C2sin-gularities[J].Commun.on Pure and Appl.Math,2004,57(2):19.
[5]CANDES E J,DEMANET L,Donoho D L,et al.FastDiscrete Curvelet Transforms[R].Applied and Compu-tational Mathematics.California Institute of Technology,2005:1.
[6]GUANGZHI ZHANG,JINGJING ZHENG,XINGYAOYIN.Coherence cube based on Curvelet transform[C]:SEG Las Vegas Annual Meeting,2008:924.
[7]郑静静,印兴耀,张广智.基于曲波变换的多尺度分析技术[J].石油地球物理勘探,2009,44(5):543.
[8]杨培杰,穆星,印兴耀.叠前三参数同步反演方法及其应用[J].石油学报,2009,2(30):232.
[9]DANPING CAO,XINGYAO YIN,FANCHANG ZHANG.Joint inversion of 3D seismic,VSP and crosswell seismicdata[C].SEG Houston Annual Meeting,2009:2373.
[10]FATTI J,SMITHG,VAIL P,et al.Detection of gas insandstone reservoirs using AVO analysis:A3-D seismiccase history using the geostack technique[J]:Geophys-ics,1994(59):1362.
[2]SMITHG C,IDLOW P M.The Fluid Factor Angle[J].EAGE 65th Conference&Exhibition,2003:2.
[3]CANDES E J.Ridgelets:theory and applications[D].USA:Department of Statistics,Stanford University,1998.
[4]CANDES E J,DONOHO D L.New tight frames of cur-velets and optimal representations of objects with C2sin-gularities[J].Commun.on Pure and Appl.Math,2004,57(2):19.
[5]CANDES E J,DEMANET L,Donoho D L,et al.FastDiscrete Curvelet Transforms[R].Applied and Compu-tational Mathematics.California Institute of Technology,2005:1.
[6]GUANGZHI ZHANG,JINGJING ZHENG,XINGYAOYIN.Coherence cube based on Curvelet transform[C]:SEG Las Vegas Annual Meeting,2008:924.
[7]郑静静,印兴耀,张广智.基于曲波变换的多尺度分析技术[J].石油地球物理勘探,2009,44(5):543.
[8]杨培杰,穆星,印兴耀.叠前三参数同步反演方法及其应用[J].石油学报,2009,2(30):232.
[9]DANPING CAO,XINGYAO YIN,FANCHANG ZHANG.Joint inversion of 3D seismic,VSP and crosswell seismicdata[C].SEG Houston Annual Meeting,2009:2373.
[10]FATTI J,SMITHG,VAIL P,et al.Detection of gas insandstone reservoirs using AVO analysis:A3-D seismiccase history using the geostack technique[J]:Geophys-ics,1994(59):1362.
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