Results 1 to 10 of about 3,752,834 (199)
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
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Radon–full-waveform inversion for suppressing scalp reverberation and skull-induced aberration in transcranial photoacoustic computed tomography [PDF]
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
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
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 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
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
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Accelerating Bayesian microseismic event location with deep learning [PDF]
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
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
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
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

