Multi-task learning for low-frequency extrapolation and elastic model building from seismic data

O Ovcharenko, V Kazei, TA Alkhalifah… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Low-frequency (LF) signal content in seismic data as well as a realistic initial model are key
ingredients for robust and efficient full-waveform inversions (FWIs). However, acquiring LF …

3-D multiparameter full-waveform inversion for ocean-bottom seismic data using an efficient fluid–solid coupled spectral-element solver

J Cao, R Brossier, A Górszczyk… - Geophysical Journal …, 2022 - academic.oup.com
Ocean-bottom seismic acquisition systems deployed on the seabed give access to three-
component geophone data and hydrophone data. Compared with conventional streamer …

Acoustoelastic full-waveform inversion for transcranial ultrasound computed tomography

P Marty, C Boehm, A Fichtner - Medical Imaging 2021 …, 2021 - spiedigitallibrary.org
Full-waveform inversion applied to ultrasound computed tomography is a promising
technique to provide highresolution quantitative images of soft human tissues, which are …

3-D multicomponent full waveform inversion for shallow-seismic target: Ettlingen Line case study

TM Irnaka, R Brossier, L Métivier… - Geophysical Journal …, 2022 - academic.oup.com
In this work, we investigate methodological development and application of viscoelastic full
waveform inversion to a multicomponent source and receiver data set at the near-surface …

[PDF][PDF] EFWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.

S Feng, H Wang, C Deng, Y Feng, Y Liu, M Zhu… - …, 2023 - proceedings.neurips.cc
In EFWI, the seismic source and receiver geometries remain aligned with the OPENFWI
dataset [1], except that the grid spacing is reduced to 5m in order to preserve the stability of …

Velocity-model building with enhanced shallow resolution using elastic waveform inversion—An example from onshore Oman

C Pérez Solano, RÉ Plessix - Geophysics, 2019 - library.seg.org
Full-waveform inversion is a powerful data-fitting technique that is used for velocity-model
building in seismic exploration. The inversion approach exploits the sensitivity of long-offset …

Early arrival waveform inversion using data uncertainties and matching filters with application to near-surface seismic refraction data

A Cai, CA Zelt - Geophysics, 2022 - library.seg.org
We develop an early arrival waveform inversion (EAWI) technique for high-resolution near-
surface velocity estimation by iteratively updating the P-wave velocity model to minimize the …

Diving-wave time-lapse delay for CO2 thin layer detection

R Martinez, V Vinje, A Stovas, J Mispel… - Geophysical Journal …, 2024 - academic.oup.com
We have derived an analytical approximate expression to estimate the delay in diving
seismic waves due to thin layers of CO2. The expression is valid for high frequencies and …

Elastic versus acoustic inversion for marine surveys

P Mora, Z Wu - Geophysical Journal International, 2018 - academic.oup.com
Full wavefield inversion (FWI) is a powerful and elegant approach for seismic imaging that is
on the way to becoming the method of choice when processing exploration or global seismic …

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

E Pearce, AD Booth, S Rost, P Sava, T Konuk… - Annals of …, 2022 - cambridge.org
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 …