Abstract

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.

Highlights

  • A reliable seismic velocity model of subsurface structures is needed for depth imaging of complex geological features

  • Full-waveform inversion (FWI) automatically updates a smooth initial velocity model via iterative local optimization algorithms, which minimize the misfit error between observed data acquired from the field and synthetic data calculated from the wave equation solution

  • The reverse time migration (RTM) images shown in the following figures are generated using seismic data with a frequency bandwidth of 4–40 Hz, and the Kirchhoff prestack depth migration (KPSDM) images are produced using data with a bandwidth of 4–125 Hz

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Summary

Introduction

A reliable seismic velocity model of subsurface structures is needed for depth imaging of complex geological features. Conventional methods such as migration velocity analysis (Chauris et al, 2002a, 2002b; Fei & McMechan, 2006; Liu & Bleistein, 1995) or traveltime tomography (Bishop et al, 1985; Farra & Madariaga, 1988; Williamson, 1990) have been used to develop velocity models for prestack depth migration of seismic data in the past. Since FWI uses a shot-based wave equation solution algorithm to calculate the synthetic waveforms for data fitting, the computational burden dramatically increases with the number of shots.

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