Results 1 to 10 of about 286 (115)

Scale-Aware Edge-Preserving Full Waveform Inversion with Diffusion Filter for Crosshole Sensor Arrays [PDF]

open access: yesSensors
Full waveform inversion (FWI) is recognized as a leading data-fitting methodology, leveraging the detailed information contained in physical waveform data to construct accurate, high-resolution velocity models essential for crosshole surveys. Despite its
Jixin Yang   +4 more
doaj   +2 more sources

Joint full waveform inversion and source localization of virtual and actual passive source seismic data [PDF]

open access: yesScientific Reports
Full waveform inversion (FWI) using passive seismic data offers potential advantages for obtaining deep subsurface structural information. However, its application depends on a reliable background model and accurate source locations. Here, we introduce a
Xujia Shang   +4 more
doaj   +2 more sources

Accelerated Full Waveform Inversion by Deep Compressed Learning [PDF]

open access: yesSensors
We propose and test a method to reduce the dimensionality of Full Waveform Inversion (FWI) inputs as a computational cost mitigation approach. Given modern seismic acquisition systems, the data (as an input for FWI) required for an industrial-strength ...
Maayan Gelboim   +2 more
doaj   +2 more sources

Progressive plug and play full waveform inversion with multitask learning [PDF]

open access: yesScientific Reports
The quality of low-frequency data and the initial model are crucial for robust seismic full waveform inversion (FWI). Some existing deep learning works only address one to improve the inversion accuracy.
Benwen Zhang, Linrong Wang
doaj   +2 more sources

Frequency-differencing strategy to kickstart full-waveform inversion without cycle skipping [PDF]

open access: yesJASA Express Letters
Ultrasound tomography fundamentally relies on low-frequency data to avoid cycle skipping in full-waveform inversion (FWI). In the absence of sufficiently low-frequency data, we can extrapolate low-frequency content from existing high-frequency signals by
Rehman Ali   +4 more
doaj   +2 more sources

A synthetic study of acoustic full waveform inversion to improve seismic modelling of firn

open access: yesAnnals of Glaciology, 2022
The density structure of firn has implications for hydrological and climate modelling and for ice shelf stability. The firn structure can be evaluated from depth models of seismic velocity, widely obtained with Herglotz-Wiechert inversion (HWI), an ...
Emma Pearce   +7 more
doaj   +1 more source

3D anisotropic full-waveform inversion for complex salt provinces

open access: yesFrontiers in Earth Science, 2023
Seismic imaging and inversion become extremely challenging when dealing with salt structures. Conventional state-of-the-art full-waveform inversion (FWI) fails to recover those features in areas where salt is present.
Junxiao Li   +4 more
doaj   +1 more source

Characterising ice slabs in firn using seismic full waveform inversion, a sensitivity study

open access: yesJournal of Glaciology, 2023
The density structure of firn has implications for hydrological and climate modelling, and ice-shelf stability. The structure of firn can be evaluated from depth models of seismic velocity, widely obtained with Herglotz–Wiechert inversion (HWI), an ...
Emma Pearce   +7 more
doaj   +1 more source

Joint towed streamer and ocean-bottom-seismometer data multi-parameter full waveform inversion in acoustic-elastic coupled media

open access: yesFrontiers in Earth Science, 2023
Short-offset towed streamer data, and sparse ocean-bottom seismometer (OBS) data are not conducive to applying multi-parameter full waveform inversion (FWI) in production.
Tao Yang   +4 more
doaj   +1 more source

Application of Laplace Domain Waveform Inversion to Cross-Hole Radar Data

open access: yesRemote Sensing, 2019
Full waveform inversion (FWI) can yield high resolution images and has been applied in Ground Penetrating Radar (GPR) for around 20 years. However, appropriate selection of the initial models is important in FWI because such an inversion is highly ...
Xu Meng, Sixin Liu, Yi Xu, Lei Fu
doaj   +1 more source

Home - About - Disclaimer - Privacy