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    琼东南盆地深水区频率域油气检测技术研究及应用

    刘仕友 孙万元 邓勇 廖键 汪锐

    刘仕友, 孙万元, 邓勇, 廖键, 汪锐, 2019. 琼东南盆地深水区频率域油气检测技术研究及应用. 地球科学, 44(8): 2603-2608. doi: 10.3799/dqkx.2019.087
    引用本文: 刘仕友, 孙万元, 邓勇, 廖键, 汪锐, 2019. 琼东南盆地深水区频率域油气检测技术研究及应用. 地球科学, 44(8): 2603-2608. doi: 10.3799/dqkx.2019.087
    Liu Shiyou, Sun Wanyuan, Deng Yong, Liao Jian, Wang Rui, 2019. Research and Application of Oil and Gas Detection Technology in Frequency Domain in Deep Water Area of Qiongdongnan Basin. Earth Science, 44(8): 2603-2608. doi: 10.3799/dqkx.2019.087
    Citation: Liu Shiyou, Sun Wanyuan, Deng Yong, Liao Jian, Wang Rui, 2019. Research and Application of Oil and Gas Detection Technology in Frequency Domain in Deep Water Area of Qiongdongnan Basin. Earth Science, 44(8): 2603-2608. doi: 10.3799/dqkx.2019.087

    琼东南盆地深水区频率域油气检测技术研究及应用

    doi: 10.3799/dqkx.2019.087
    基金项目: 

    国家重大专项:琼东南盆地深水区大中型气田形成条件与勘探关键技术 2016ZX05026-02

    详细信息
      作者简介:

      刘仕友(1982-), 高级工程师, 主要从事储层预测和烃类检测研究

    • 中图分类号: P588

    Research and Application of Oil and Gas Detection Technology in Frequency Domain in Deep Water Area of Qiongdongnan Basin

    • 摘要: 随着琼东南盆地勘探扩展到深水区勘探,勘探面临较大的水深差异的影响.不同目标含油气评价受制于埋深、水深差异影响,振幅属性可类比性差;仅用振幅类属性,比如亮点技术、反演技术,识别油气具有较大局限.以双相介质理论为基础,探究双相介质条件下含油气层地震波特征,发现含油气层的强衰减造成地震主频向低频移动的现象.应用匹配追踪和高分辨率Wigner分布时频分析方法,精确分析地震波经过含油气层前后频谱差异,应用频移特征属性进行含油气检测,在琼东南盆地深水区勘探取得较好的应用效果,同时,该技术不依赖于测井数据等因素,具有极大的推广应用前景.

       

    • 图  1  琼东南盆地构造

      Fig.  1.  Structural map of QDN Basin

      图  2  双相介质波场模拟

      a.正演模型;b.固相波场快照;c.流相波场快照

      Fig.  2.  simulation of dual-phase medium

      图  3  双相介质地震波特征

      a.横向分量;b.纵向分量

      Fig.  3.  Seismic wave characteristics of dual-phase medium

      图  4  双相介质与单相介质地震波能量特征对比

      Fig.  4.  Comparison of seismic wave energy characteristics between dual-phase and single-phase media

      图  5  双相介质地震波频谱特征

      红色.双相介质;蓝色.单相介质; 点线.双相介质地震频谱;直线.子波频谱

      Fig.  5.  Spectrum characteristics of seismic waves in dual-phase media

      图  6  合成地震记录

      Fig.  6.  The synthetic seismogram

      图  7  不同方法时频谱分析对比

      a.短时傅里叶变换时频谱;b.小波变换时频谱;c.匹配追踪Wigner分布时频谱

      Fig.  7.  Comparison of different time-frequency spectrum analysis methods.

      图  8  含气层顶底界面时频谱

      Fig.  8.  Time-frequency spectrum of top-bottom interface of gas-bearing formation

      图  9  主频偏移特征

      a.纯波地震剖面; b.主频剖面; c.频移特征

      Fig.  9.  Main frequency shift characteristics

      图  10  琼东南L5探区频移、振幅特征对比

      a.频移特征; b.振幅特征

      Fig.  10.  Application of main frequency shift in a exploration area in QDN

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    出版历程
    • 收稿日期:  2019-01-16
    • 刊出日期:  2019-08-15

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