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Analysis of frequency characteristics of seismic reflections with attenuation in thin layer zone: Methods and applications.

机译:薄层带衰减地震反射的频率特性分析:方法和应用。

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摘要

Each hydrocarbon reservoir has its own characteristic seismic frequency response to seismic signals due to its unique rock and fluid properties in the surrounding environment. Much evidence shows the presence of low frequency spectral anomalies with a high degree of correlation to the location of hydrocarbon reservoirs. To understand the physical reasons causing this phenomenon, and to utilize it as an attribute of hydrocarbon indicator, I categorize the influence factors of seismic frequency into two types: global and local factors. The global factors change the frequency of the entire seismic section and determine the background frequency of the seismic section; the local factors only bring some regional or local frequency variation at the given time and location. Wave equations based on synthetic models can be used to generate local frequency energy anomalies related to local fluid properties, lithology change, and layer thickness variation.;Spectral decomposition analyses a signal in both the time and frequency domain. The choice of an analyzing wavelet function is fundamental to any spectral decomposition method and determines the resolution in the two domains. An orthonormal wavelet optimized to a desired signal in the least square sense is utilized by a hybrid spectral decomposition method which combines the continuous wavelet transform with a non-linear operator. This results in significantly improved frequency resolution and enhances local frequency components. The tool can be used to directly compute seismic frequency attributes from seismic data and identify regions of anomalous frequency caused by gas or fluid as seismic wave propagates through them. This is illustrated for hydrocarbon-bearing sands corresponding to frequency anomalies using deep water Gulf of Mexico field seismic data.
机译:由于其在周围环境中的独特岩石和流体特性,每个油气藏对地震信号都有自己独特的地震频率响应。许多证据表明,低频频谱异常的存在与油气藏的位置高度相关。为了了解引起这种现象的物理原因,并将其用作油气指示剂的属性,我将地震频率的影响因素分为两类:整体因素和局部因素。全局因素会改变整个地震剖面的频率,并确定地震剖面的背景频率。局部因素只会在给定的时间和位置带来一些区域或局部频率变化。基于合成模型的波动方程可用于生成与局部流体特性,岩性变化和层厚变化有关的局部频率能量异常。频谱分解可同时分析时域和频域的信号。分析小波函数的选择对于任何频谱分解方法都是至关重要的,并决定了两个域的分辨率。通过将连续小波变换与非线性算子相结合的混合频谱分解方法,可以利用在最小二乘意义上优化为所需信号的正交小波。这样可以显着提高频率分辨率并增强本地频率分量。该工具可用于直接从地震数据中计算地震频率属性,并在地震波通过它们传播时识别由气体或流体引起的异常频率区域。使用深水墨西哥湾野外地震数据对与频率异常相对应的含烃砂岩进行了说明。

著录项

  • 作者

    Tai, Shenghong.;

  • 作者单位

    University of Houston.;

  • 授予单位 University of Houston.;
  • 学科 Geophysics.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 103 p.
  • 总页数 103
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:55

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