王新红. 频谱成像技术在稠油热采地震监测中的应用[J]. 华北地震科学, 2005, 23(3): 1-8.
引用本文: 王新红. 频谱成像技术在稠油热采地震监测中的应用[J]. 华北地震科学, 2005, 23(3): 1-8.
WANG Xin-hong. APPLICATION OF SPECTRAL IMAGING TECHNOLOGY IN HOT RECOVERY OF THICK OIL AND SEISMIC MONITORING[J]. North China Earthquake Sciences, 2005, 23(3): 1-8.
Citation: WANG Xin-hong. APPLICATION OF SPECTRAL IMAGING TECHNOLOGY IN HOT RECOVERY OF THICK OIL AND SEISMIC MONITORING[J]. North China Earthquake Sciences, 2005, 23(3): 1-8.

频谱成像技术在稠油热采地震监测中的应用

APPLICATION OF SPECTRAL IMAGING TECHNOLOGY IN HOT RECOVERY OF THICK OIL AND SEISMIC MONITORING

  • 摘要: 频谱成像技术可有效的描述地质反射层厚度的非连续性和岩性的非均质性, 其在理论上主要是依据薄层反射的调谐原理, 过去通常采用以离散傅里叶变换为基础的算法, 但是, 该方法存在着明显的局限性, 因为估算的地震振幅谱的重要特征是所选时窗长度的函数。如果所选时窗过短, 振幅谱会与变换窗函数褶积, 失去频率的局部化特征, 而且过短的时窗会使子波的旁瓣呈现为单一反射的假象。增加时窗长度, 会改善频率的分辨率。但如果所选时窗过长, 时窗内的多个反射会使振幅谱以槽痕为特征, 很难分清单个反射的振幅谱特征。由于在实际运用中, 以傅里叶变换相关的算法的时窗问题, 难以选择好时窗长度, 而且无法定量分析时窗长度产生的偏差, 因而会使振幅谱的估算产生偏差。以小波变换为基础的时频分析技术成了非平稳性信号的重要分析工具, 在很多实际应用中已取代了傅里叶变换的分析方法。以小波变换为基础的瞬时谱分析技术能得到精确的时频分析结果, 同时避免了时窗问题。它反映出了储层在纵向上时间及厚度上变化情况和横向上的地质不连续性的信息, 因此能使解释人员快速而有效地描述储层特征的空间变化。

     

    Abstract: Spectral imaging technology, which mainly follows the tuning principle in thin layer, can characterize the non-continuity of geological reflecting layer in thickness and non-isotropy of lithology.The algorithm used in the past was usually based on Fourier transform, but there are clearly limitations in the method, because the seismic amplitude spectrum that it evaluated is the function of time windows.If the time window is too short, the amplitude spectrum will be in convolution with transform window function and lose local characteristic of frequency.It can improve the resolution of frequency to increase the length of time window, but if the time window is too long, it is hard to distinguish the characteristics of amplitude spectrum in single reflection, because many reflections in the time window will make the amplitude spectrum using flute marks as its characteristics.Since it is hard to choose time window in practice and analyze the error quantitatively, there are usually deviations in the evaluation of amplitude spectrum.The time and spectrum analysis technology that based on wavelet transform becomes a important tool in the analysis of non-stationary signal, and replaces Fourier transform in practice.The instant spectrum analysis technology of this kind can get precise results of time and frequency analysis, and avoid the problem of time window.It can indicate the vertical variation of the reservoir layer in time and thickness and the horizontal non-continuity, and let the researcher describe the characteristics of reservoir layer and spatial variation quickly and effectively.

     

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