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Radon–full-waveform inversion for suppressing scalp reverberation and skull-induced aberration in transcranial photoacoustic computed tomography [PDF]
PhotoacousticsPhotoacoustic 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
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Frontiers 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
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Applied 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
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Frequency-Wavenumber Domain Elastic Full Waveform Inversion with a Multistage Phase Correction
Remote 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
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Remote 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
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Local-crosscorrelation elastic full-waveform inversion [PDF]
Geophysics, 2019 ABSTRACT Full-waveform inversion (FWI) in its classic form is a method based on minimizing the L2 norm of the difference between the observed and simulated seismic waveforms at the receiver locations. The objective is to find a subsurface model that reproduces the full waveform including the traveltimes and amplitudes of the observed ...
Zhang, Zhendong, Alkhalifah, Tariq Ali
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Accelerating Bayesian microseismic event location with deep learning [PDF]
Solid 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
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Remote 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
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Source-independent elastic envelope inversion using the convolution method
Frontiers 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
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Facies Constrained Elastic Full Waveform Inversion [PDF]
Proceedings, 2017 Summary Current efforts to utilize full waveform inversion (FWI) as a tool beyond acoustic imaging applications, for example for reservoir analysis, face inherent limitations on resolution and also on the potential trade-off between elastic model parameters. Adding rock physics constraints does help to mitigate these issues. However, current approaches
Z. Zhang +2 more
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