Articles with "velocity model" as a keyword



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3D S-velocity model of the lithosphere-asthenosphere system beneath the Bering Sea

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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… read more here.

Keywords: depth; bering sea; beneath; velocity ... See more keywords
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An improved 1-D crustal velocity model for the Central Alborz (Iran) using Particle Swarm Optimization algorithm

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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).… read more here.

Keywords: optimization; velocity; central alborz; velocity model ... See more keywords
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Appraisal of the Hellenic Geodetic Reference System 1987 based on backward-transformed ITRF coordinates using a national velocity model

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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… read more here.

Keywords: hellenic geodetic; system; velocity model; geodetic reference ... See more keywords
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Seismotectonics and 1-D velocity model of the Greater Geneva Basin, France–Switzerland

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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… read more here.

Keywords: greater geneva; velocity model; switzerland; geneva basin ... See more keywords
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3-D crustal shear-wave velocity model derived from full-waveform tomography for Central Honshu Island, Japan

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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… read more here.

Keywords: crustal shear; shear wave; velocity; wave velocity ... See more keywords
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High-Resolution Velocity Model Building Based on Common-Source Migration Images and Convolutional Neural Networks

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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… read more here.

Keywords: model building; velocity; migration; model ... See more keywords
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Deep-Learning-Based Seismic Variable-Size Velocity Model Building

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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… read more here.

Keywords: network; velocity; model; velocity model ... See more keywords
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Multitask Learning for Super-Resolution of Seismic Velocity Model

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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… read more here.

Keywords: seismic velocity; velocity; super resolution; velocity model ... See more keywords
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Seismic Velocity Model Building Using Recurrent Neural Networks: A Frequency-Stepping Approach

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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… read more here.

Keywords: frequency; model building; velocity; velocity model ... See more keywords
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Upwind, No More: Flexible Traveltime Solutions Using Physics-Informed Neural Networks

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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… read more here.

Keywords: informed neural; physics; eikonal equation; upwind flexible ... See more keywords
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Nonlinear Analysis of Stability and Safety of Optimal Velocity Model Vehicle Groups on Ring Roads

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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… read more here.

Keywords: stability; optimal velocity; model; vehicle ... See more keywords