时频分析在北黄海东部坳陷中生界储层的应用

吴淑玉, 刘俊

吴淑玉, 刘俊. 时频分析在北黄海东部坳陷中生界储层的应用[J]. 海洋地质与第四纪地质, 2016, 36(1): 189-196. DOI: 10.16562/j.cnki.0256-1492.2016.01.019
引用本文: 吴淑玉, 刘俊. 时频分析在北黄海东部坳陷中生界储层的应用[J]. 海洋地质与第四纪地质, 2016, 36(1): 189-196. DOI: 10.16562/j.cnki.0256-1492.2016.01.019
WU Shuyu, LIU Jun. APPLICATION OF TIME-FREQUENCY ANALYSIS TO THE MESOZOIC RESERVOIR, EASTERN DEPRESSION OF NORTH YELLOW SEA[J]. Marine Geology & Quaternary Geology, 2016, 36(1): 189-196. DOI: 10.16562/j.cnki.0256-1492.2016.01.019
Citation: WU Shuyu, LIU Jun. APPLICATION OF TIME-FREQUENCY ANALYSIS TO THE MESOZOIC RESERVOIR, EASTERN DEPRESSION OF NORTH YELLOW SEA[J]. Marine Geology & Quaternary Geology, 2016, 36(1): 189-196. DOI: 10.16562/j.cnki.0256-1492.2016.01.019

时频分析在北黄海东部坳陷中生界储层的应用

基金项目: 

国土资源部海洋油气资源和环境地质重点实验室基金(MRE201318和MRE201115);国家海洋局海底重点实验室基金(KLSG1102)

详细信息
    作者简介:

    吴淑玉(1984-),女,助理研究员,主要从事地震资料解释和反演等地球物理相关工作。E-mail:hnwushuyu@163.com

  • 中图分类号: P631.4

APPLICATION OF TIME-FREQUENCY ANALYSIS TO THE MESOZOIC RESERVOIR, EASTERN DEPRESSION OF NORTH YELLOW SEA

  • 摘要: 北黄海东部坳陷有利勘探区块为发育在斜坡上的扇三角洲沉积相,砂岩储层薄,横向变化大,利用常规的地震属性难以圈闭有利储集层,时频分析技术是寻找薄储层最有利的手段。通过研究短时窗傅里叶变换、连续小波变换、时频连续小波变换和S变换等几种经典时频分析方法的特点,分别从时间分辨率、频率分辨率总结了各自的优缺点和适应性,最后优选出S变换对北黄海东部坳陷地震资料进行频谱分解。结果表明,该项技术提高了地震分辨率,对地层细节的刻画更清晰,有效地识别了断层边界,并且能够预测储集层的沉积环境变化及沉积相划分,频谱分解方法是该研究区进行储层预测的新方法和新手段。
    Abstract: The favorable exploration blocks in the eastern depression of the North Yellow Sea are developed on the slopes of a fan-delta. Sandstone reservoisr are thin in thickness with large lateral stratigraphic variations, It is difficult to define the favorable reservoirs by conventional seismic attributes method, Howeoer Time-frequency analysis technology is the best approach for the thin bed reservoirs. By studying on the characteristics of classic time-frequency analysis method, such as Short Time Fourier Transform, Continuous Wavelet Transform, Time-Frequency Continuous Wavelet Transform and S Transform, we summarized their advantages and disadvantages and the adaptability of time resolution and frequency resolution, optimized the S transform applied in the seismic data spectrum decomposition. The actual application shows that, the seismic resolution is much improved.It man describe the formation details more clearly and identify the fault boundary more effectively, also can predict the changes in sedimentary environment and classify the sedimentary facies division, the spectral decomposition is the new methods and new technology for reservoir prediction in this area.
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  • 收稿日期:  2014-11-29
  • 修回日期:  2015-02-24

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