Results 31 to 40 of about 15,161 (215)
Deep learning phase picking of large-N experiments [PDF]
, 2019 The popularisation of the use of large-N arrays of seismometers has resulted in a significant increase of the size of the datasets recorded during these experiments.
Fernandez-Prieto, Luis +1 more
core +1 more source
Toward an automatic full-wave inversion: Synthetic study cases [PDF]
, 2016 Full-waveform inversion (FWI) in seismic scenarios continues to be a complex procedure for subsurface imaging that might require extensive human interaction in terms of model setup, constraints, and data preconditioning.
Cela, Jose M. +7 more
core +2 more sources
Advances on the automatic estimation of the P-wave onset time
Annals of Geophysics, 2016 This work describes the automatic picking of the P-phase arrivals of the 3*106 seismic registers originated during the TOMO-ETNA experiment. Air-gun shots produced by the vessel “Sarmiento de Gamboa” and contemporary passive seismicity occurring in the ...
Luz García +15 more
doaj +1 more source
Crustal structure of the Borderland-Continent Transition Zone of southern California adjacent to Los Angeles [PDF]
, 2003 We use data from the onshore-offshore component of Los Angeles Region Seismic Experiment (LARSE) to model the broad-scale features of the midcrust to upper mantle beneath a north-south transect that spans the continental borderland in the Los Angeles ...
Clayton, Robert W., Nazareth, Julie J.
core +1 more source
Estimating anisotropy parameters and traveltimes in the tau-p domain [PDF]
, 2002 The presence of anisotropy influences many aspects of seismic wave propagation and has therefore implications for conventional processing schemes. To estimate the anisotropy, we need both forward modelling and inversion tools. Exact forward modelling
Kendall, J.M., Van der Baan, M.
core +1 more source
The Seismic Record, 2023 This study evaluates EQTransformer, a deep learning model, for earthquake detection and phase picking using seismic data from the Southern Alps, New Zealand.
Olivia Pita-Sllim +3 more
doaj +1 more source
Adaptive waveform inversion: theory [PDF]
, 2016 Conventional full-waveform seismic inversion attempts to find a model of the subsurface that is able to predict observed seismic waveforms exactly; it proceeds by minimizing the difference between the observed and predicted data directly, iterating in a ...
Guasch, L, Warner, M
core +1 more source
Seismic Phase Picking Using a Cross-Attention Network on NVIDIA Jetson Xavier NX
IEEE AccessThis paper introduces a neural network model for seismic phase picking tailored for edge intelligence. The model architecture is meticulously designed to accommodate the resource constraints of edge computing platforms, enabling real-time seismic phase ...
Bo Lan +5 more
doaj +1 more source
Nature Communications, 2020 The authors here present a deep learning model that simultaneously detects earthquake signals and measures seismic-phase arrival times. The model performs particularly well for cases with high background noise and the challenging task of picking the S ...
S. Mostafa Mousavi +4 more
doaj +1 more source
Earthquake Arrival Association with Backprojection and Graph Theory
, 2019 The association of seismic wave arrivals with causative earthquakes becomes progressively more challenging as arrival detection methods become more sensitive, and particularly when earthquake rates are high.
Delorey, Andrew A. +3 more
core +1 more source