新疆石油地质

新疆石油地质 ›› 2009, Vol. 30 ›› Issue (4): 501-505.

• 应用技术 • 上一篇    下一篇

储集层特征的多尺度差异分析

曹思远1,2, 刘兰锋1, 韩德华2   

  1. 1.中国石油大学 CNPC 地球物理重点实验室,北京 102249;
    2.美国休斯敦大学 岩石物理实验室,德克萨斯 77204
  • 收稿日期:2009-04-30 出版日期:2009-08-01 发布日期:2020-08-25
  • 作者简介:曹思远（1962-）,男,江苏启东人,教授,博士,地球物理, （Tel）010-89734832（E-mail）x1s2y3@263.net.

Analysis of Multi-Scale Seismic Information Differences in Reservoir Characteristics

CAO Si-yuan1,2, LIU Lan-feng1, HAN De-hua2   

  1. 1. CNPC Key Laboratory of Geophysics, China University of Petroleum, Beijing 102249, China;
    2. Laboratory of Petrophysics, University of Houston 77204, USA
  • Received:2009-04-30 Online:2009-08-01 Published:2020-08-25

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摘要： 在岩性油气藏勘探中,真、假亮点识别是决定勘探成败的关键。AVO 理论,为利用地震资料的叠前信息进行储集层识别提供了理论依据。而频率随偏移距而变化（FVO）这一事实,使得利用地震记录的叠后信息进行储集层预测成为可能,尽管其物理机制目前还不是十分清晰。数值实验表明,叠加地震记录不同尺度地震波同相轴走向的差异与反射能量的差异分别反映了地层岩性的空间变化和区分了地震波调谐产生的强振幅与储集层 AVO 产生的强振幅,从而为叠后剖面真、假亮点的研究提供了一种新的有效判别方法。Marmousi Ⅱ模型和实际资料的处理结果表明,本方法可以较好地识别储集层。

关键词: AVO, 多尺度, 亮点, 调谐, Marmousi Ⅱ

Abstract: The recognition of true and false bright spots is the key of success of lithologic oil-gas reservoir exploration. AVO (amplitude versus offset) theory provides theoretical basis for application of pre-stack information of seismic data to reservoir recognition. FVO (frequency versus offset) allows the prediction of reservoir using the post-stack information to be possible, despite its physical mechanism is now unclear. The numerical experiment indicates that the space variation of formation lithology can be reflected by the strike differences of different scales of seismic wave events in stack seismic record, and the strong amplitude caused by seismic wave tuning can be separated from that caused by reservoir's AVO applying the differences of multiple scales of seismic wave event reflectance energy. These provide a new method for effective recognition or distinguishing of reservoir for study of true and false bright spots in post-stack profile. Marmousi II model and real data processing show that this method can be used to recognize reservoir rocks.

Key words: AVO, multi-scale, bright spot, tuning, Marmousi II model

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