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Multiple Attenuation for the GlyVeST Seismic Data From the Faroes: An Integrated Workflow Using Modeling and SRME

机译:来自FAROES的GLYVESS地震数据的多次衰减:使用建模和SRME的集成工作流程

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Multiple is a long-standing problem in petroleum seismology. Despite significant achievements in developing advanced techniques to attenuate multiples, there is currently no single multiple-attenuation technique that can be applied to attenuate all the various types of multiples. The performance of each technique depends on the particular dataset. Selecting an optimal technique (or an optimal combination of schemes) lies in determining whether the Earth models implicit in a particular technique match the Earth model from which the seismic data were physically acquired. In this paper we present an integrated workflow using seismic modelling and SRME (Surface-Related Multiple Elimination) to attenuate multiples for the GlyVeST ( Glyvursnes - Vestmanna Seismic Tie) seismic data, which were acquired in the Faore Islands. First, we carried out the GlyVeST seismic modelling, which has shown, among other things, that surface-related multiples are much stronger and more of a problem than internal multiples. Subbasalt seismic processing is well known to face challenges from severe scattering losses by impedance contrasts and rugose surfaces, geometrical spreading, velocity heterogeneity and strong multiples. As there can be great uncertainty in going from real data to interpretation, we gain insight by starting with an assumed or `known' geology and generating synthetic data from it. Then, processing these data, knowing the correct result, guides us to an optimal processing strategy. The synthetic data, produced by an elastic finite-difference modelling scheme, offer excellent possibilities for detailed studies of how seismic waves interact with heterogeneous basalt flows, as well as better understanding of the multiple problem. Instead of resorting to trial-and-error, i.e. testing many different multiple-attenuation methods and picking the most pleasing result - wasteful of time and computer resources - the GlyVeST seismic modelling has helped us to determine a multiple-attenuation strategy for the Earth model from which the real GIyVeST seismic data were acquired. Based on the characteristics of our multiples (i.e. surface-related multiples much stronger than internal multiples), we have applied SRME, a technique that attenuates surface-related multiples as much as possible, followed by predictive deconvolution on the GlyVeST data. Finally, having conditioned the data for velocity analysis, we apply a high-resolution Radon demultiple routine in a series of iterative passes (velocity analysis - Radon demultiple - velocity analysis), progressively harsher as confidence in the velocity trend increases. As a result, multiples have been effectively attenuated without harming primary events in the data.
机译:多重是石油地震学中的长期问题。尽管在开发衰减倍数的高级技术方面取得了显着成果,但目前没有单一的多衰减技术可以应用于衰减所有类型的倍数。每个技术的性能取决于特定数据集。选择最佳技术(或方案的最佳组合)在于确定在特定技术中隐含的地球模型是否与地震数据的地球模型匹配。在本文中,我们使用地震建模和SRME(与表面相关的多次消除)呈现了一个集成的工作流程,以衰减在FAORE岛上获得的综合奖金(Glyvursnes - Vestmanna地震系)地震数据。首先,我们进行了综合地震建模,其中,除了其他方面,该模拟的表面相关的倍数更强大,更多的问题比内部倍数更强。众所周知,众所周知,众所周知,众所周知,通过阻抗对比散射损失,几何扩散,速度异质性和强倍数面对严重散射损失的挑战。由于从真实数据来解释来说,我们可以通过从假定或“已知的”地质学和从中生成合成数据来获得洞察力。然后,处理这些数据,了解正确的结果,指导我们实现最佳处理策略。由弹性有限差异建模方案产生的合成数据具有优异的可能性,详细研究地震波与异构玄武岩流动的关系,以及更好地理解多个问题。而不是诉诸试验,即测试许多不同的多衰减方法,并挑选最令人愉快的结果 - 浪费时间和计算机资源 - Glyvest地震建模有助于我们确定地球模型的多衰减策略获得真正的Giyvest地震数据。基于我们的倍数的特征(即,表面相关的倍数比内部倍数强大),我们应用了SRME,一种技术尽可能地衰减表面相关的倍数,然后是GlyVest数据的预测解卷积。最后,在调节速度分析的数据中,我们在一系列迭代通行证(速度分析 - Radon Dovultipliple - 速度分析)中应用了高分辨率的氡多相常规,随着对速度趋势的置信度逐渐变得令人满意。结果,在不损害数据中的主要事件的情况下,已经有效地衰减了倍数。

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