Articles with "traveltime tomography" as a keyword



Model regularization for seismic traveltime tomography with an edge-preserving smoothing operator

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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… read more here.

Keywords: edge preserving; traveltime tomography; model; preserving smoothing ... See more keywords

Can Traveltime Tomography Benefit From Wave Amplitudes?

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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… read more here.

Keywords: tomography benefit; benefit; benefit wave; traveltime tomography ... See more keywords

Binary recovery via phase field regularization for first-arrival traveltime tomography

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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… read more here.

Keywords: traveltime tomography; phase; binary recovery; phase field ... See more keywords

Distributed Traveltime Tomography Using Kernel-Based Regression in Seismic Networks

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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… read more here.

Keywords: subsurface; kernel based; distributed traveltime; traveltime tomography ... See more keywords

Seismic Traveltime Tomography With Label-Free Learning

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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… read more here.

Keywords: seismic traveltime; traveltime tomography; learning; tomography ... See more keywords

Seismic Traveltime Tomography Using Transfer Learning

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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… read more here.

Keywords: transfer learning; traveltime tomography; network; inversion ... See more keywords

Alternating first-arrival traveltime tomography and waveform inversion for near-surface imaging

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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… read more here.

Keywords: waveform inversion; traveltime tomography; inversion;

An efficient tomographic inversion method based on the Stochastic Approximation

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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… read more here.

Keywords: traveltime tomography; inversion; approximation; stochastic approximation ... See more keywords

Stable neural network-based traveltime tomography using hard-constrained measurements

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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… read more here.

Keywords: based traveltime; stable neural; traveltime tomography; tomography ... See more keywords

Static-constrained first-arrival traveltime tomography for near-surface velocity estimation

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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… read more here.

Keywords: near surface; traveltime tomography; velocity; tomography ... See more keywords

Ray-tracing traveltime tomography versus wave-equation traveltime inversion for near-surface seismic land data

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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… read more here.

Keywords: traveltime tomography; inversion; ray tracing; traveltime ... See more keywords