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基于谱分解技术的小断层识别

Small fault identification based on spectrum decomposition technique

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【作者】 陈波魏小东任敦占张亚中王亚楠李建华

【Author】 Chen Bo1,2,Wei Xiao-dong2,Ren Dun-zhan3,Zhang Ya-zhong3,Wang Ya-nan2 and Li Jina-hua2.1.Faulty of Geo-Resources and Information,China University of Petroleum,Beijng City,102249,China2.Geophysical Research Institute,BGP Inc.of CNPC,Zhuzhou City,Hebei Province,072751,China3.BGP Inc.of CNPC,Zhuzhou City,Hebei Province,072751,China

【机构】 中国石油大学资源与信息学院东方地球物理公司研究院东方地球物理公司

【摘要】 本文针对A油田复杂断层分布特征,以高分辨率地震资料为基础,利用谱分解技术,深入讨论了谱分解技术中调谐体和共频体解释技术对小断层精细描述的能力。实际应用表明:由谱分解技术获得的地震数据调谐体可用于分析目的层段的断层平面特征;获得的地震数据共频体可用于研究断层的剖面组合特征;联合应用调谐体和共频体可提高地震资料识别小断层的能力。

【Abstract】 With respect to the complicated fault distribution characteristics for A oilfield,the tuning cube and common frequency data interpretation technique in spectrum decomposition technology was discussed in detail in this paper based on high resolution seismic data and by utilization of spectrum decomposition technology.The field applications show that the tuning cube acquired by using the spectrum decomposition technology could be used to analyze the fault plane characteristics of the target layer,the acquired common frequency data could be used to study the profile combination characteristics of the fault,the joint application of tuning cube and common frequency data could raise the ability of seismic data in identifying the small faults.

【关键词】 谱分解调谐体共频体断层
【Key words】 spectrum decompositiontuning cubecommon frequency datafault
  • 【文献出处】 石油地球物理勘探 ,Oil Geophysical Prospecting , 编辑部邮箱 ,2010年06期
  • 【分类号】P631.4
  • 【被引频次】27
  • 【下载频次】577
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