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首页> 外文期刊>Journal of Seismic Exploration >AB FOCAL VELOCITY ANALYSIS
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AB FOCAL VELOCITY ANALYSIS

机译:AB局部速度分析

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A conventional semblance velocity analysis is an analysis in which it is assumed that there is no amplitude-variation-with-offset (AVO) on a hyperbolic event in an input CMP gather. As a result, events with a strong AVO anomaly, especially the ones with polarity reversal, will not produce a sharp semblance attribute. Such an AVO anomaly can be seen from the top of some class 1 and class 2 sands. To overcome this disadvantage, data modeling with amplitude variation expressed by an intercept and gradient AB semblance was introduced. On the other hand, an AB semblance has a resolution approximately twice as low as that of the conventional semblance. In this study, a new method called the AB focal velocity analysis (AB-FVA) was introduced as a tool for high resolution velocity analysis in the presence of class 2 AVO. In this method, a velocity analysis is run in the focal domain to achieve a higher resolution. The AB-FVA was introduced by combining the AB semblance and the focal velocity analysis (FVA). The AB-FVA uses the same explicit formula for the generalized semblance attribute as used in the AB semblance. Two synthetic CMP datasets were used to demonstrate an improvement in the velocity analysis by AB-FVA in comparison with the AB semblance and the other two methods (the FVA and the semblance). The assessment of these four methods over synthetic datasets proved that the AB-FVA has the least smearing along time and velocity directions compared to other methods. Also, two real datasets were used to check the quality of the velocity analysis by the AB-FVA compared to the other three methods. The first dataset was a deep marine CMP gather containing strong long period multiples. The second dataset was a shallow part of a CMP gather showing class 2 AVO. By comparison of the results obtained from synthetic and real datasets it was concluded that AB-FVA was a promising method for velocity analysis.
机译:常规的相似速度分析是假设输入CMP道中的双曲线事件不存在带偏移的振幅变化(AVO)的分析。结果,具有强烈AVO异常的事件(尤其是极性反转的事件)将不会产生清晰的外表属性。从1级和2级砂的顶部可以看到这种AVO异常。为了克服这个缺点,引入了具有由截距和梯度AB相似度表示的幅度变化的数据建模。另一方面,AB外观的分辨率大约是传统外观的两倍。在这项研究中,引入了一种称为AB焦点速度分析(AB-FVA)的新方法,作为在存在2类AVO的情况下进行高分辨率速度分析的工具。在这种方法中,在焦点域中进行速度分析以获得更高的分辨率。 AB-FVA是通过将AB相似性和焦点速度分析(FVA)相结合而引入的。 AB-FVA对广义相似性属性使用与AB相似性相同的显式公式。与AB相似度和其他两种方法(FVA和相似度)相比,使用两个合成的CMP数据集证明了AB-FVA在速度分析方面的改进。通过综合数据集对这四种方法的评估证明,与其他方法相比,AB-FVA在时间和速度方向上的拖影最少。此外,与其他三种方法相比,使用了两个真实的数据集来检查AB-FVA进行的速度分析的质量。第一个数据集是包含强长期倍数的深海CMP道集。第二个数据集是CMP收集的浅层部分,显示了2类AVO。通过比较从合成数据集和真实数据集获得的结果,可以得出结论,AB-FVA是一种很有前途的速度分析方法。

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