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Surface-multiple attenuation through sparse inversion: results for complex synthetics and real data

机译：通过稀疏反演实现表面多重衰减：复杂合成和真实数据的结果

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摘要

We present new results of the recently introduced approach to surface-multiple attenuation through sparse inversion. This method aims to attenuate surface multiples of all periodicities without the need for an adaptive subtraction or a near offset extrapolation. The aim of our paper is twofold. First, we subject the sparse inversion method to data beyond previously published proof-of-principle models and present results on highly complex 2D synthetics and real data, demonstrating that sparse inversion may, in principle, serve as a powerful tool to attenuate short and long period multiples in complex settings. We illustrate the competitive nature of the sparse inversion predictions by benchmarking the method's results to standard processing flows. In addition, we demonstrate the correspondence of the estimated primaries to the underlying impedance models. Next, we show results of a 2D sparse inversion approach to real 3D deep-marine data and demonstrate, through a further synthetic study, that the presence of cross-line dip leads to a time shift of the predicted multiples, resulting in reduced multiple attenuation. Our results confirm that future developments of this technique will require a full 3D approach in order for the sparse inversion method to be widely effective in practice.
机译：我们介绍了最近引入的通过稀疏反演进行表面多重衰减的方法的新结果。该方法旨在衰减所有周期性的表面倍数，而无需自适应减法或近似偏移外推。本文的目的是双重的。首先，我们将稀疏反演方法应用于除先前公布的原理证明模型之外的数据，并给出高度复杂的2D合成和真实数据的结果，证明稀疏反演原则上可以用作衰减短时和长时的强大工具复杂设置中的周期倍数。通过将方法的结果与标准处理流程进行比较，我们说明了稀疏反演预测的竞争性质。此外，我们演示了估计的基数与基础阻抗模型的对应关系。接下来，我们将展示针对真实3D深海数据的2D稀疏反演方法的结果，并通过进一步的综合研究证明，交叉线倾角的存在会导致预测倍数的时移，从而导致倍数衰减降低。我们的结果证实，该技术的未来发展将需要完整的3D方法，以便使稀疏反演方法在实践中广泛有效。

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