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Published in 2020 at "International Journal of Earth Sciences"
DOI: 10.1007/s00531-020-01868-y
Abstract: The 3D S-velocity structure for the Bering Sea region is determined from dispersion analysis (Rayleigh waves), from which the most conspicuous features of the crust and upper mantle (from 0 to 400 km depth) will be…
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Keywords:
depth;
bering sea;
beneath;
velocity ... See more keywords
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Published in 2019 at "Physics of the Earth and Planetary Interiors"
DOI: 10.1016/j.pepi.2019.05.009
Abstract: Summary We present an improved 1-D velocity model of the crust in the Central Alborz region using one of the powerful methods in global optimization techniques named Fuzzy Self-Tuning Particle Swarm Optimization (hereafter called FST-PSO).…
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Keywords:
optimization;
velocity;
central alborz;
velocity model ... See more keywords
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Published in 2017 at "Survey Review"
DOI: 10.1080/00396265.2016.1180797
Abstract: The paper presents a detailed accuracy evaluation of the Hellenic Geodetic Reference System 1987 (HGRS87), a non-geocentric traditional local datum which was established thirty years ago and it is still used as the official coordinate…
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Keywords:
hellenic geodetic;
system;
velocity model;
geodetic reference ... See more keywords
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Published in 2020 at "Geophysical Journal International"
DOI: 10.1093/gji/ggaa129
Abstract: The Greater Geneva Basin, located in south-western Switzerland and neighboring France, is enclosed by the rotating north-western edge of the Alpine front and the Jura mountains chain. Recently, this basin has received increasing attention as…
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Keywords:
greater geneva;
velocity model;
switzerland;
geneva basin ... See more keywords
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Published in 2023 at "Geophysical Journal International"
DOI: 10.1093/gji/ggad216
Abstract: We present a crustal shear-wave (S-wave) velocity model for central Japan that accurately captures the previously mapped geology and lithology of the region. We perform a full-waveform tomographic inversion using a large seismic data volume…
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Keywords:
crustal shear;
shear wave;
velocity;
wave velocity ... See more keywords
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1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3098196
Abstract: Building a reliable velocity model plays a vital role in seismic imaging and quantitative reservoir description. However, the current data-driven deep-learning-based velocity model building (VMB) approaches directly reconstruct the velocity model of the subsurface from…
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Keywords:
model building;
velocity;
migration;
model ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3204747
Abstract: Current data-driven inversion methods based on deep learning (DL) use an end-to-end learning to obtain a mapping relationship from seismic data to the velocity model. These methods require truncating the feature maps in the output…
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Keywords:
network;
velocity;
model;
velocity model ... See more keywords
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Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3034502
Abstract: Full waveform inversion (FWI) is a powerful tool for estimating the underground velocity model. However, it is computationally expensive and the resulting models tend to be not accurate enough. Thus, to improve the efficiency and…
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Keywords:
seismic velocity;
velocity;
super resolution;
velocity model ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3210899
Abstract: Data-driven artificial neural networks (ANNs) demonstrably offer numerous advantages over the conventional deterministic methods in a wide range of geophysical problems. For seismic velocity model building, judiciously trained ANNs offer the possibility of estimating subsurface…
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Keywords:
frequency;
model building;
velocity;
velocity model ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3218754
Abstract: The eikonal equation plays an important role across multidisciplinary branches of science and engineering. In geophysics, the eikonal equation and its characteristics are used in addressing two fundamental questions pertaining to seismic waves: what paths…
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Keywords:
informed neural;
physics;
eikonal equation;
upwind flexible ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3192323
Abstract: In this work, we study a group of $N$ homogeneous vehicles travelling on a ring road by describing the collective vehicle dynamics via the so-called Optimal Velocity Model (OVM). We analyze the stability of the…
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Keywords:
stability;
optimal velocity;
model;
vehicle ... See more keywords