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首页> 外文期刊>Acta Geophysica >Verification of bright spots in the presence of thin beds by AVO and spectral analysis in Miocene sediments of Carpathian Foredeep
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Verification of bright spots in the presence of thin beds by AVO and spectral analysis in Miocene sediments of Carpathian Foredeep

机译:钙北甲肺泥沉积物中的薄床和光谱分析验证薄床

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摘要

Twin structural traps that lie within the Miocene strata of the Carpathian Foredeep that are localized above Cierpisz and Mrowla-Bratkowice highs exhibit identical bright-spot seismic anomalies, but only those associated with the Cierpisz high are profitable gas reservoirs. Bright spots can be a result of weak gas or water saturation, but also seismic interference known as tuning effect. For these reasons, it is crucial to differentiate between seismic anomalies. In this article, we present the possibilities of verification of seismic anomalies that occur within the siliciclastic Miocene sediments of the Carpathian Foredeep with the application of AVO analysis and spectral decomposition. AVO methodology enabled to limit the number of anomalies that are present in the post-stack seismic data. These anomalies, however, may also be a result of tuning which is common for the heterolithic sequences in the Miocene sediments of the Carpathian Foredeep. For classification of anomalies in the view of the above, spectral decomposition based on the Basis Pursuit algorithm was applied. Spectral decomposition enabled to divide AVO anomalies in those that are the result of gas saturation and the tuning effect. Gas-saturated zones are characterized by higher spectral amplitudes of the lower frequency range, whereas tuning effect yields higher spectral amplitudes for the higher frequency content. This relation is visible for the data set and enables qualitative differentiation for the set of seismic anomalies.
机译:在Cierpisz和Mrowla-Bratkowice高于Cierpisz和Mrowla-Bratkowice高于Cierpisz和Mrowla-Bratkowice高度的双刃状陷阱,表现出相同的亮点地震异常,但只有与Cierpisz High相关的那些是有利可图的气体藏。亮点可能是气体或水饱和度弱,也可以是称为调谐效果的地震干扰。出于这些原因,区分地震异常是至关重要的。在本文中,我们介绍了在喀尔巴阡山脉僵尸沉积物中发生的地震异常验证的可能性,以AVO分析和光谱分解在喀尔巴阡山脉腐败的沉积物中发生。 AVO方法使能够限制堆栈后地震数据中存在的异常数。然而,这些异常也可能是调节的结果,这对于喀尔巴阡山脉腐败的中茂沉积物中的异丙状序列是常见的。对于在上述视图中的异常分类,应用了基于基于基础追踪算法的光谱分解。频谱分解使能够在那些是气体饱和度的结果和调谐效果的那些中划分AVO异常。气体饱和区域的特征在于较低频率范围的较高光谱振幅,而调谐效果产生较高频率内容的频谱振幅较高。数据集可见该关系,并实现了对地震异常组的定性分化。

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