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A new method to enhance the characterisation of seismically thin beds based on the generalised S transform maximum modulus

机译:基于广义S变换最大模量的增强地震薄层特征的新方法

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摘要

Thin beds are difficult to identify by seismic traces, but the generalised S transform (GST) can be regarded as a time frequency (TF) analysis method for multi-resolution and quantitative interpretations of thin beds. However, even with a strict seismic well tie, there may still be obvious differences between the depth of a thin bed from well log interpretations and the wavelet transform maximum modulus line attribute (WTMMLA) from the seismic trace, and this has limited the application of the TF spectrum in seismic interpretations. Based on theories of the spectral decomposition and the GST, this study investigates how the phase spectrum of the thin bed seismic response and of the GST window function influence the TF spectrum, and a new method for accurate interpretation of thin beds is proposed by which thin beds can be located easily. In addition, concepts involving the three-dimensional (3D) phase distribution' and TF point spectrum' are described, which have been proven to be relevant to the TF spectrum, and these ideas may be used to guide the interpretation of the TF spectrum. Real 3D seismic data are presented as a case study to demonstrate the feasibility and validity of the new method, and the relationship between the interpretation from the well log and the GST spectrum turned out to be very good.
机译:薄层很难通过地震道识别,但是广义S变换(GST)可以看作是对薄层进行多分辨率和定量解释的时频(TF)分析方法。但是,即使采用严格的地震井口,从测井解释得到的薄层深度与来自地震道的小波变换最大模量线属性(WTMMLA)仍可能存在明显差异,这限制了地震勘探的应用。地震解释中的TF谱。基于光谱分解和GST理论,研究了薄层地震响应的相位谱和GST窗函数的相位谱如何影响TF谱,并提出了一种精确解释薄层的新方法。床可以轻松定位。另外,描述了涉及三维(3D)相位分布的概念和“ TF点谱”,这些概念已被证明与TF谱有关,并且这些思想可用于指导TF谱的解释。以真实的3D地震数据为例,说明了该方法的可行性和有效性,并且测井解释与GST光谱之间的关系非常好。

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