While real-life seismic data acquired at finite-frequency bands are inherently highly nonlinear in terms of earth properties, seismic imaging and inversion have historically relied on limiting assumptions, such as linearity, with respect to the subsurface structures and infinite bandwidth data. Over the last two decades, however, seismic exploration has seen unprecedented improvements in acquisition systems, forward-modeling algorithms, and computational power that together finally enable geoscientists to begin tackling the nonlinear, finite-frequency aspects of seismic imaging and inversion in realistic subsurface environments. Presently, these problems are under intense investigation by many scientists in both the exploration and global geophysical communities, labeled...

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