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DTPP:An efficient depthwise separable TCN for seismic phase picking
Artificial Intelligence in GeosciencesWith the rapid development of artificial intelligence in seismology, various deep learning-based seismic phase picking models have emerged in recent years.
Shuai Lv, Yuxiang Peng
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The early years of computational seismology at Caltech [PDF]
Bulletin of the Seismological Society of America, 1988 Early this year I was asked to make some "remarks" at the 100th anniversary of the Berkeley station as President of the SSA. Not knowing exactly what was expected, I decided to do some background research on the history of the Berkeley station as found in papers, letters, and reports to the Bulletin.
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The development of fracture mathematical models for numerical solution of exploration seismology problems with use of grid-characteristic method [PDF]
Компьютерные исследования и моделирование, 2016 The article contains the description of developed mathematical models of fractures which can be used for numerical solution of exploration seismology problems with use of grid-characteristic method on unstructured triangular and tetrahedral meshes.
Maksim Viktorovich Muratov +2 more
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Spectral-Element and Adjoint Methods in Seismology [PDF]
, 2008 We provide an introduction to the use of the spectral-element method (SEM) in seismology. Following a brief review of the basic equations that govern seismic wave propagation, we discuss in some detail how these equations may be solved numerically based ...
Commun Comput Phys +3 more
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Deploying Jupyter Notebooks at scale on XSEDE resources for Science Gateways and workshops
, 2018 Jupyter Notebooks have become a mainstream tool for interactive computing in every field of science. Jupyter Notebooks are suitable as companion applications for Science Gateways, providing more flexibility and post-processing capability to the users ...
Jette Morris A. +3 more
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Automated Tiling of Unstructured Mesh Computations with Application to Seismological Modeling
ACM Transactions on Mathematical Software, 2019 Sparse tiling is a technique to fuse loops that access common data, thus increasing data locality. Unlike traditional loop fusion or blocking, the loops may have different iteration spaces and access shared datasets through indirect memory accesses, such as A[map[i]]—hence the name “sparse.” One notable example of such loops arises in discontinuous ...
Fabio Luporini +5 more
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The role of radiation damping in the modeling of repeated earthquake events
Annals of Geophysics, 2013 We have investigated the role of the radiation damping term (RDT) on repeated earthquake ruptures by modeling the faulting process through a single one-dimensional analog fault system governed by different constitutive laws.
Paola Crupi, Andrea Bizzarri
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Artificial intelligence in geophysics: Opportunities and risks
Геофизический журналThe article briefly reviews some artificial intelligence methods successfully used to process and interpret logging data and for seismology and geothermy.
N.I. Bakhova
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Influence of vibrations on structures [PDF]
, 2018 One type of occasional structural load is a seismic load. Earthquakes and blasts are typical sources of vibrations, but vibration generated during urban tunnel construction can represent a significant problem.
Kaláb, Zdeněk
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Annals of Geophysics, 2016 Vertical component record sections of local earthquake seismograms from a state-of-the-art Koyna-Warna digital seismograph network are assembled in the reduced time versus epicentral distance frame, similar to those obtained in seismic refraction ...
V. G. Krishna
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