Seismic waves from earthquakes and other sources are used to infer the structure and properties of Earth’s interior. The availability of large-scale seismic datasets and the suitability of deep-learning techniques for seismic data processing have pushed deep learning to the forefront of fundamental, long-standing research investigations in seismology. However, some aspects of applying deep learning to seismology are likely to prove instructive for the geosciences, and perhaps other research areas more broadly. Deep learning is a powerful approach, but there are subtleties and nuances in its application. We present a systematic overview of trends, challenges, and opportunities in applications of deep-learning methods in seismology.

中文翻译：

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深度学习地震学

来自地震和其他来源的地震波被用来推断地球内部的结构和特性。大规模地震数据集的可用性和深度学习技术在地震数据处理中的适用性已将深度学习推向了地震学基础、长期研究调查的前沿。然而，将深度学习应用于地震学的某些方面可能会证明对地球科学以及其他更广泛的研究领域具有指导意义。深度学习是一种强大的方法，但在其应用中存在细微差别。我们系统地概述了地震学中深度学习方法应用的趋势、挑战和机遇。