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Published in 2017 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2017.01.021
Abstract: Abstract The solutions of the seismic first-arrival traveltime tomography are generally non-unique, and the Tikhonov model regularization for the inversion is commonly used to stabilize the inversion. However, the Tikhonov regularization for traveltime tomography often…
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Keywords:
edge preserving;
traveltime tomography;
model;
preserving smoothing ... See more keywords
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Published in 2025 at "Geophysical Research Letters"
DOI: 10.1029/2025gl115464
Abstract: Regularization of seismic inversions has a strong imprint on tomographic images. We analyze recorded and spectral‐element S, Sdiff, and SS waveforms to evaluate the benefit of body‐wave amplitudes in global tomography. L‐curve analysis for S40RTS…
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Keywords:
tomography benefit;
benefit;
benefit wave;
traveltime tomography ... See more keywords
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Published in 2019 at "Inverse Problems"
DOI: 10.1088/1361-6420/ab1c6c
Abstract: We propose a double obstacle phase field methodology for binary recovery of the slowness function of an Eikonal equation found in first traveltime tomography. We treat the inverse problem as an optimization problem with quadratic…
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Keywords:
traveltime tomography;
phase;
binary recovery;
phase field ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3211538
Abstract: Distributed subsurface imaging is of high relevance for autonomous seismic surveys by multiagent networks as envisioned for future planetary missions. The goal is to achieve a cooperative reconstruction of a subsurface image at each agent…
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Keywords:
subsurface;
kernel based;
distributed traveltime;
traveltime tomography ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3386783
Abstract: Deep learning techniques have been used to build velocity models (VMs) for seismic traveltime tomography and have shown encouraging performance in recent years. However, they need to generate labeled samples (i.e., pairs of input and…
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Keywords:
seismic traveltime;
traveltime tomography;
learning;
tomography ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3476682
Abstract: Researchers have sought to overcome the limitations of traditional seismic inversion methods, such as full-waveform inversion (FWI), by applying deep learning techniques. Two primary approaches have emerged: the supervised learning approach, which uses an extensive…
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Keywords:
transfer learning;
traveltime tomography;
network;
inversion ... See more keywords
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Published in 2017 at "Geophysics"
DOI: 10.1190/geo2016-0576.1
Abstract: ABSTRACTNear-surface seismic imaging often plays a significant role in producing quality data processing results for the deep subsurface in land and shallow marine environments. First-arrival traveltime tomography is a common approach for near-surface imaging due…
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Keywords:
waveform inversion;
traveltime tomography;
inversion;
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Published in 2018 at "Geophysics"
DOI: 10.1190/geo2017-0275.1
Abstract: Near-surface solutions often play a significant role in imaging the subsurface structures for land or shallow marine environments. Unfortunately, the standard approach to first-arrival traveltime tomography may involve the inversion of a large number of…
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Keywords:
traveltime tomography;
inversion;
approximation;
stochastic approximation ... See more keywords
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Published in 2024 at "GEOPHYSICS"
DOI: 10.1190/geo2024-0040.1
Abstract: Traveltime tomography, or travel time inversion, has been one of the primary seismological tools for decades and has been used to understand Earth's properties and dynamic processes. An accurate, preferably flexible, eikonal solver to compute…
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Keywords:
based traveltime;
stable neural;
traveltime tomography;
tomography ... See more keywords
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Published in 2025 at "GEOPHYSICS"
DOI: 10.1190/geo2024-0851.1
Abstract: Seismic data processing and interpretation encounter the challenges of near-surface static problems. Long-wavelength statics can be calculated using the near-surface velocity model. While being efficient for deriving the near-surface velocity model, the first-arrival traveltime tomography…
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Keywords:
near surface;
traveltime tomography;
velocity;
tomography ... See more keywords
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Published in 2017 at "Interpretation"
DOI: 10.1190/int-2016-0210.1
Abstract: AbstractFull-waveform inversion of land seismic data tends to get stuck in a local minimum associated with the waveform misfit function. This problem can be partly mitigated by using an initial velocity model that is close…
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Keywords:
traveltime tomography;
inversion;
ray tracing;
traveltime ... See more keywords