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Full-Waveform Inversion for Imaging Faulted Structures: A Case Study from the Japan Trench Forearc Slope

机译:用于成像故障结构的全波形反演:日本沟槽前臂坡面的案例研究

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摘要

Full-waveform inversion (FWI) of limited-offset marine seismic data is a challenging task due to the lack of refracted energy and diving waves from the shallow sediments, which are fundamentally required to update the long-wavelength background velocity model in a tomographic fashion. When these events are absent, a reliable initial velocity model is necessary to ensure that the observed and simulated waveforms kinematically fit within an error of less than half a wavelength to protect the FWI iterative local optimization scheme from cycle skipping. We use a migration-based velocity analysis (MVA) method, including a combination of the layer-stripping approach and iterations of Kirchhoff prestack depth migration (KPSDM), to build an accurate initial velocity model for the FWI application on 2D seismic data with a maximum offset of 5.8 km. The data are acquired in the Japan Trench subduction zone, and we focus on the area where the shallow sediments overlying a highly reflective basement on top of the Cretaceous erosional unconformity are severely faulted and deformed. Despite the limited offsets available in the seismic data, our carefully designed workflow for data preconditioning, initial model building, and waveform inversion provides a velocity model that could improve the depth images down to almost 3.5 km. We present several quality control measures to assess the reliability of the resulting FWI model, including ray path illuminations, sensitivity kernels, reverse time migration (RTM) images, and KPSDM common image gathers. A direct comparison between the FWI and MVA velocity profiles reveals a sharp boundary at the Cretaceous basement interface, a feature that could not be observed in the MVA velocity model. The normal faults caused by the basal erosion of the upper plate in the study area reach the seafloor with evident subsidence of the shallow strata, implying that the faults are active.
机译:有限炮检距海洋地震数据的全波形反演(FWI)是一项具有挑战性的任务,因为缺乏来自浅层沉积物的折射能量和潜水波,这是以层析方式更新长波背景速度模型的基本要求。在没有这些事件的情况下,需要一个可靠的初始速度模型,以确保观测和模拟的波形在小于半个波长的误差范围内运动匹配,从而保护FWI迭代局部优化方案不发生周期跳变。我们使用基于偏移的速度分析(MVA)方法,包括层剥离方法和基尔霍夫叠前深度偏移(KPSDM)迭代的组合,在最大偏移距为5.8 km的二维地震数据上为FWI应用建立精确的初始速度模型。这些数据是在日本海沟俯冲带获得的,我们关注的是白垩纪侵蚀不整合面顶部高反射基底上的浅层沉积物严重断裂和变形的区域。尽管地震数据中可用的偏移量有限,但我们精心设计的数据预处理、初始模型构建和波形反演工作流程提供了一个速度模型,可以将深度图像提高到近3.5 km。我们提出了几种质量控制措施来评估最终FWI模型的可靠性,包括光线路径照明、灵敏度核、反向时间偏移(RTM)图像和KPSDM公共图像采集。FWI和MVA速度剖面之间的直接比较揭示了白垩纪基底界面处的尖锐边界,这是MVA速度模型中无法观察到的特征。研究区上部板块基底侵蚀引起的正断层到达海底,浅层地层明显下沉,表明断层活动。

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