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Robust Elastic Full-Waveform Inversion Based on Normalized Cross-Correlation Source Wavelet Inversion

open access: yesApplied Sciences, 2023
The elastic full-waveform inversion (EFWI) method efficiently utilizes the amplitude, phase, and travel time information present in multi-component seismic recordings to create detailed parameter models of subsurface structures.
Qiyuan Qi   +3 more
doaj   +2 more sources

Radon–full-waveform inversion for suppressing scalp reverberation and skull-induced aberration in transcranial photoacoustic computed tomography [PDF]

open access: yesPhotoacoustics
Photoacoustic computed tomography is promising for noninvasive imaging of cerebral function but is limited by skull-induced acoustic aberrations. Moreover, strong superficial signals from the scalp often produce reverberations within the skull, which ...
Jiawen Zhang   +8 more
doaj   +2 more sources

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

Frequency-Wavenumber Domain Elastic Full Waveform Inversion with a Multistage Phase Correction

open access: yesRemote Sensing, 2022
Elastic full waveform inversion (EFWI) is essential for obtaining high-resolution multi-parameter models. However, the conventional EFWI may suffer from severe cycle skipping without the low-frequency components in elastic seismic data.
Yong Hu   +4 more
doaj   +1 more source

Strong-Scattering Multiparameter Reconstruction Based on Elastic Direct Envelope Inversion and Full-Waveform Inversion with Anisotropic Total Variation Constraint

open access: yesRemote Sensing, 2023
Strong-scattering medium can usually form a good sealing medium for oil and gas resources. However, conventional elastic full-waveform inversion (EFWI) methods are difficult to build reliable velocity models under the condition of lacking low-frequency ...
Pan Zhang   +3 more
doaj   +1 more source

Multiparameter Elastic Full Waveform Inversion of Ocean Bottom Seismic Four-Component Data Based on A Modified Acoustic-Elastic Coupled Equation

open access: yesRemote Sensing, 2020
Ocean bottom seismometer (OBS) can record both pressure and displacement data by modern marine seismic acquisitions with four-component (4C) sensors.
Minao Sun, Shuanggen Jin
doaj   +1 more source

Accelerating Bayesian microseismic event location with deep learning [PDF]

open access: yesSolid Earth, 2021
We present a series of new open-source deep-learning algorithms to accelerate Bayesian full-waveform point source inversion of microseismic events. Inferring the joint posterior probability distribution of moment tensor components and source location is ...
A. Spurio Mancini   +5 more
doaj   +1 more source

Source-independent elastic envelope inversion using the convolution method

open access: yesFrontiers in Earth Science, 2023
Elastic full waveform inversion (EFWI) is a powerful technique. However, its strong non-linearity makes it susceptible to converging towards local extremes during the iterative process due to various factors like insufficient low-frequency information or
Fang Li   +6 more
doaj   +1 more source

Elastic Full-Waveform Inversion Using Migration-Based Depth Reflector Representation in the Data Domain

open access: yesGeosciences, 2021
The depth velocity model is a critical element for providing seismic data processing success, as it is responsible for the times of waves’ propagation and, therefore, prescribes the location of geological objects in the resulting seismic images ...
Vladimir Tcheverda, Kirill Gadylshin
doaj   +1 more source

Acoustic 2D full waveform inversion to solve gas cloud challenges

open access: yesAnnals of Geophysics, 2015
The existing conventional inversion algorithm does not provide satisfactory results due to the complexity of propagated wavefield though the gas cloud.
Srichand Prajapati, Deva Ghosh
doaj   +1 more source

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