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涂齐催, 刘江, 崔树果, 霍凤斌. AVO与流体替换相结合识别深层Ⅰ类气藏[J]. 海洋石油, 2011, 31(2): 25-28. DOI: 10.3969/j.issn.1008-2336.2011.02.025
引用本文: 涂齐催, 刘江, 崔树果, 霍凤斌. AVO与流体替换相结合识别深层Ⅰ类气藏[J]. 海洋石油, 2011, 31(2): 25-28. DOI: 10.3969/j.issn.1008-2336.2011.02.025
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TU Qicui, LIU Jiang, CUI Shuguo, HUO Fengbin. AVO combined with fluid replacement identifies deep gas reservoir of class Ⅰ[J]. Offshore oil, 2011, 31(2): 25-28. DOI: 10.3969/j.issn.1008-2336.2011.02.025
Citation: TU Qicui, LIU Jiang, CUI Shuguo, HUO Fengbin. AVO combined with fluid replacement identifies deep gas reservoir of class Ⅰ[J]. Offshore oil, 2011, 31(2): 25-28. DOI: 10.3969/j.issn.1008-2336.2011.02.025
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AVO与流体替换相结合识别深层Ⅰ类气藏

AVO combined with fluid replacement identifies deep gas reservoir of class Ⅰ

    摘要
  • 摘要: 传统的"亮点"技术适合检测Ⅲ类AVO含气异常,对于中、深层含气砂岩表现出来的Ⅰ类AVO现象无法识别。利用AVO技术,结合流体替换,寻找差异,运用G属性体,可以有效识别深层Ⅰ类AVO含气砂岩,利用这种方法预测了某油气田a主力气藏的分布。预测结果得到B井证实。

     

    Abstract: The traditional bright spot technique is good to predict the Ⅲ AVO anomaly, but invalid when the deep gas sand has an A VO anomaly of class Ⅰ. Deep gas sand of class I can be effectively identified by G attribute volume by using AVO,combined with fluid replacement. Distribution of a gas reservoir in some oilfield was predicted by this way and the result was verified at last by the newly drilled well B.

     

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