Full-wave inversion (FWI) to a 2D-ocean-bottom node (OBN) dataset after offset-continuation-trajectory (OCT) data regularization

A. Camargo, J. Ribeiro, T. Coimbra, G. Ignácio, M. Tygel
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Abstract

The estimation of geophysical attributes for a better understanding of subsurface geological structures is essential in many stages of seismic exploration and production. As a powerful seismic inversion tool, the full waveform inversion (FWI) has been widely used to estimate many of such attributes (e.g., seismic velocities) with high resolution. In many cases, however, real acquisitions are unable to provide the quantity and density of traces required for optimal inversion results. As a consequence, schemes to produce (simulate) new traces by interpolation/extrapolation of neighboring available traces, play a crucial role. In this paper, we use the offset-continuation-trajectory (OCT) stacking method to generate new (non-recorded) traces and include them in an ocean-bottom node (OBN) acquisition. We next test the FWI inversion on the enhanced dataset and analyze the results. As proof-of-concept, our approach is applied to the synthetic dataset obtained for an OBN acquisition carried out on the 2D Marmousi model for which several additional traces, simulated by the OCT procedure, have been included. In spite of the recognized complexities of the Marmousi model, we have obtained very encouraging results.
偏移-连续轨迹(OCT)数据正则化后的二维海底节点(OBN)数据全波反演(FWI)
为了更好地了解地下地质构造,地球物理属性的估计在地震勘探和生产的许多阶段都是必不可少的。作为一种功能强大的地震反演工具,全波形反演(FWI)已被广泛用于高分辨率地估计许多此类属性(如地震速度)。然而,在许多情况下,实际采集无法提供最佳反演结果所需的道的数量和密度。因此,通过邻近可用迹线的插值/外推来产生(模拟)新迹线的方案起着至关重要的作用。在本文中,我们使用偏移-连续-轨迹(OCT)叠加方法来生成新的(未记录的)轨迹,并将它们包含在海底节点(OBN)采集中。接下来,我们在增强数据集上测试FWI反演并分析结果。作为概念验证,我们的方法被应用于在二维Marmousi模型上进行OBN采集获得的合成数据集,其中包括通过OCT程序模拟的几个附加迹线。尽管公认的马尔穆西模型的复杂性,我们已经获得了非常令人鼓舞的结果。
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