Results 71 to 80 of about 2,936 (205)

Offset-variable density improves acoustic full-waveform inversion: a shallow marine case study

, 2015
We have previously applied three-dimensional acoustic, anisotropic, full-waveform inversion to a shallow-water, wide-angle, ocean-bottom-cable dataset to obtain a high-resolution velocity model.
Morgan, J, Silverton, A, Umpleby, A, Warner, M   +3 more
core   +1 more source

A Deep Learning‐Based Time Shift Objective Function for Full Waveform Inversion

Geophysical Prospecting, Volume 74, Issue 3, March 2026.
ABSTRACT Full waveform inversion (FWI) is a powerful technique for estimating high‐resolution subsurface velocity models by minimizing the discrepancy between modelled and observed seismic data. However, the oscillatory nature of seismic waveforms makes point‐wise discrepancy measures highly prone to cycle skipping, especially when the initial velocity
Mustafa Alfarhan, Fuqiang Chen, George Turkiyyah, David Keyes, Ivan Vasconcelos, Matteo Ravasi   +5 more
wiley   +1 more source

Monte Carlo Full-Waveform Inversion of Cross-Hole Ground-Penetrating Radar Data Based on Improved Residual Network

Remote Sensing
A full-waveform inversion (FWI) of ground-penetrating radar (GPR) data can be used to effectively obtain the parameters of a shallow subsurface. Introducing the Markov chain Monte Carlo (MCMC) algorithm into the FWI can reduce the dependence on the ...
Shengchao Wang, Xiangbo Gong, Liguo Han
doaj   +1 more source

Multi‐Scale Electrical Conductivity Model of the Contiguous United States

Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.
Abstract The completion of the Magnetotelluric (MT) USArray across the contiguous US enables continental‐scale 3‐D imaging of the asthenosphere‐lithosphere electrical structure. We present a novel 3‐D model of the contiguous United States (MECMUS), derived from a single inversion of the now‐completed USMTArray data set.
Federico D. Munch, Alexander Grayver
wiley   +1 more source

Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source

Journal of Marine Science and Engineering
Full waveform inversion (FWI) is an established precise velocity estimation tool for seismic exploration. Machine learning-based FWI could plausibly circumvent the long-standing cycle-skipping problem of traditional model-driven methods.
Qiqi Zheng, Meng Li, Bangyu Wu
doaj   +1 more source

Seismological Characterization of Northern Hikurangi Margin Slow Slip Regions Associated With Normal Faults, Seamounts, and Seeps

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 1, January 2026.
Abstract At the northern Hikurangi margin, Aotearoa New Zealand, slow slip events (SSEs) recur every 6–24 months to ∼ ${\sim} $30 km depth. Although shallow SSEs (0–10 km) are well‐studied offshore, the deeper portion (10–30 km) remains poorly understood, limiting insight into SSE initiation.
Amy Woodward, Ian D. Bastow, Rebecca Bell, Laura Wallace, Katrina Jacobs, Stuart Henrys, Bill Fry, Thomas A. J. Merry, Victoria Lane, Laurene Ville, Phoebe Houldsworth‐Bianek, Luke Broadley   +11 more
wiley   +1 more source

Imaging Continental Rifting Structures From Eastern Gondwana Breakup by Full‐Waveform Inversion of Marine Wide‐Angle Seismic Data

Journal of Geophysical Research: Solid Earth, Volume 130, Issue 12, December 2025.
Abstract The Lord Howe Rise (LHR), a submerged continental fragment of Zealandia offshore eastern Australia, provides a rare opportunity to investigate the fine‐scale structure of a magma‐poor rifted margin. This study applies full waveform inversion (FWI) of 2D marine wide‐angle seismic data acquired with densely deployed ocean‐bottom seismometers ...
Mehmet Ali Uge, Brian Boston, Gou Fujie, Kazuya Shiraishi, Yasuyuki Nakamura, Shuichi Kodaira   +5 more
wiley   +1 more source

Time‐Domain Factorized Wave Model and Iterative Beamforming for Localizing Multiple Leaks in Water Pipes

Water Resources Research, Volume 61, Issue 12, December 2025.
Abstract Time‐domain full‐waveform inversion is a robust method for localizing leaks in urban water distribution pipes. However, its built‐in classical wave model suffers from coupled and interdependent leak parameters; thus, the localization of multiple leaks becomes a 2N $2N$‐parameter optimization problem (N $N$ is the number of leaks), which is ...
Manli Wang, Huan‐Feng Duan, Qiuru Chen, Mostafa Rahmanshahi, Tong‐Chuan Che   +4 more
wiley   +1 more source

Mantle Structure Beneath the Greater Alpine Region From Teleseismic Full P‐Waveform Inversion

Journal of Geophysical Research: Solid Earth, Volume 130, Issue 11, November 2025.
Abstract AlpArray data were employed to infer a new mantle model of the Alps from teleseismic full P‐waveform inversion. It features hybrid numerical forward modeling in the time domain, compression of wavefields by Fourier transform at selected frequencies, the use of frequency domain waveform sensitivity kernels and a multi‐scale approach by ...
W. Friederich, M. Paffrath, K. D. Fischer, T. Möller, M. Ditz, onbehalf of the AlpArray and Swath‐D Working Groups   +5 more
wiley   +1 more source

Preconditioned Conjugate Gradient Algorithm-Based 2D Waveform Inversion for Shallow-Surface Site Characterization

Shock and Vibration, 2021
The full-waveform inversion (FWI) of a Love wave has become a powerful tool for shallow-surface site characterization. In classic conjugate gradient algorithm- (CG) based FWI, the energy distribution of the gradient calculated with the adjoint state ...
Jianbo Guan, Yu Li, Guohua Liu
doaj   +1 more source