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Investigation of hydraulic fracturing-induced seismicity in the Haynesville Shale. [PDF]
J SeismolVerdon JP, Harris ADG.
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Adaptive estimation of the Gutenberg-Richter b value using a state space model and particle filtering. [PDF]
Sci RepIwata D, Nanjo KZ.
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Deep learning forecasting of large induced earthquakes via precursory signals. [PDF]
Sci RepConvertito V +3 more
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Science, 2022
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 ...
S. Mousavi, G. Beroza
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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 ...
S. Mousavi, G. Beroza
semanticscholar +1 more source
Applications of Deep Neural Networks in Exploration Seismology: a technical survey
Geophysics, 2023Exploration seismology uses reflected and refracted seismic waves, emitted from a controlled (active) source into the ground, and recorded by an array of seismic sensors (receivers) to image the subsurface geological structures.
S. Mousavi +3 more
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A diffuse core in Saturn revealed by ring seismology
Nature Astronomy, 2021The best constraints on the internal structures of giant planets have historically originated from measurements of their gravity fields1–3. These data are inherently mostly sensitive to a planet’s outer regions, stymieing efforts to measure the mass and ...
C. Mankovich, J. Fuller
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Earthquake Engineering: From Engineering Seismology To Performance-Based Engineering
, 2020This multi-contributor book provides comprehensive coverage of earthquake engineering problems, an overview of traditional methods, and the scientific background on recent developments.
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NoisePy: A New High-Performance Python Tool for Ambient-Noise Seismology
, 2020The fast-growing interests in high spatial resolution of seismic imaging and high temporal resolution of seismic monitoring pose great challenges for fast, efficient, and stable data processing in ambient-noise seismology.
Chengxin Jiang, M. Denolle
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