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四参数速度分析法及其在垦71区三维转换波处理中的应用

Four-parameter velocity analysis and its application to seismic data of Ken-71 area in Shengli Oilfield

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【作者】 毕丽飞刘江平周永红王延光王慧石建新李向阳

【Author】 BI Li-fei1,2,LIU Jiang-ping1,ZHOU Yong-hong3,WANG Yan-guang2,WANG Hui2,SHI Jian-xin2,LI Xiang-yang4(1.Institute of Geophysics Geomatics,China University of Geosciences,Wuhan 430074,China;2.Geophysical Research Institute of Shengli Oilfield,SINOPEC,Dongying 257001,Shandong Province,China;3.Staff University of Shengli Oilfield,SINOPEC,Dongying 257000,China;4.British Geological Survey,Edinburgh EH93LA,UK)

【机构】 中国地质大学(武汉)地球物理与空间信息学院中石化胜利油田职工大学中石化胜利油田物探院英国地质调查局 湖北武汉430074山东东营257001湖北武汉430074山东东营257000英国爱丁堡EH93LA

【摘要】 胜利油田垦71地区多分量地震数据采用微型机电系统(MEMS)数字检波器采集,受转换波的非对称路径和各向异性的影响,剖面中非双曲同相轴广泛存在。传统的速度分析法基于各向同性理论,动校正时无法把同相轴拉平。为了实现同相轴的同相叠加,利用不同偏移距的动校正信息估算不同的参数,提出了一种新的四参数速度分析法。四参数指转换波叠加速度vC2、垂直速度比γ0、等效速度比γeff和转换波各向异性系数eχff。应用该方法对胜利油田垦71地区三维多波资料进行了处理。结果表明,该方法处理效果较好,且对该地区多分量资料的成像质量及PP波与PS波同相轴的相关性也有很大的改进。

【Abstract】 The multi-component seismic data were acquired by digital micro-electro-mechanical system(MEMS) sensors of Ken-71 area in Shengli Oilfield.Both the asymmetry ray path and the anisotropic effects result in the serious non-hyperbolic move-out effects in the converted-wave data.Conventional velocity analysis based on isotropic theory can no longer flatten the moveout.Four-parameter theory was used to evaluate these effects and process the data.These four parameters include the PS converted wave stacking velocity(vC2),the vertical velocity ratio(γ0),the effective velocity ratio(γeff) and the anisotropy parameter(χeff).The method utilizes the move-out information at different offsets to estimate the different parameters,and ensures that the events are properly aligned for stacking.As a result,this four-parameter theory leads to an improvement in imaging quality and correlation between the P-waves and converted-waves.

【基金】 国家自然科学基金项目(2003BA613A)
  • 【文献出处】 中国石油大学学报(自然科学版) ,Journal of China University of Petroleum(Edition of Natural Science) , 编辑部邮箱 ,2007年06期
  • 【分类号】P631.4
  • 【被引频次】7
  • 【下载频次】103
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