Anelastic sensitivity kernels with parsimonious storage for adjoint tomography and full waveform inversion

D Komatitsch, Z Xie, E Bozdağ… - Geophysical Journal …, 2016 - academic.oup.com
We introduce a technique to compute exact anelastic sensitivity kernels in the time domain
using parsimonious disk storage. The method is based on a reordering of the time loop of …

Three-dimensional full waveform inversion of short-period teleseismic wavefields based upon the SEM–DSM hybrid method

V Monteiller, S Chevrot, D Komatitsch… - Geophysical Journal …, 2015 - academic.oup.com
We present a method for high-resolution imaging of lithospheric structures based on full
waveform inversion of teleseismic waveforms. We model the propagation of seismic waves …

Compression of seismic forward modeling wavefield using TuckerMPI

W Wang, W Zhang, T Lei - Computers & Geosciences, 2023 - Elsevier
With the increasing use of seismic waveform inversion and imaging, the scale of numerical
simulations of seismic waves has been increasing. Concomitantly, the resulting extremely …

Efficient full waveform inversion using the excitation representation of the source wavefield

M Kalita, T Alkhalifah - Geophysical Journal International, 2017 - academic.oup.com
Full waveform inversion (FWI) is an iterative method of data-fitting, aiming at high-resolution
recovery of the unknown model parameters. However, its conventional implementation is a …

Million-core scalable 3D anisotropic reverse time migration on the Sugon exascale supercomputer

S Wu, J Cheng, J Ma, T Wang, X Yong, Y Ji - Computers & Geosciences, 2025 - Elsevier
Reverse time migration (RTM) plays a crucial role in high-resolution seismic imaging of the
Earth's interior. However, scaling it across millions of cores in parallel to process large-scale …

Efficient source wavefield reconstruction for full-waveform inversion

D Lee, W Chung, YS Kim - Geophysics, 2023 - library.seg.org
Full-waveform inversion (FWI) is a useful tool for estimating the properties of subsurface
media, but it has the disadvantage of incurring considerable computing costs. Therefore, we …

Combining checkpointing and data compression to accelerate adjoint-based optimization problems

N Kukreja, J Hückelheim, M Louboutin… - Euro-Par 2019: Parallel …, 2019 - Springer
Seismic inversion and imaging are adjoint-based optimization problems that process up to
terabytes of data, regularly exceeding the memory capacity of available computers. Data …

[PDF][PDF] DISCRETE COSINE TRANSFORM (DCT)

S Kim, W Chung, J Lee - Journal of Seismic Exploration, 2021 - researchgate.net
ABSTRACT Kim, S., Chung, WK and Lee, JH, 2021. Acoustic full waveform inversion using
Discrete Cosine Transform (DCT). Journal of Seismic Exploration, 30: 365-380. Full …

[PDF][PDF] Combining checkpointing and data compression for large scale seismic inversion

N Kukreja, J Hückelheim, M Louboutin… - arXiv preprint arXiv …, 2018 - academia.edu
Seismic inversion and imaging are adjoint-based optimization problems that processes up
to terabytes of data, regularly exceeding the memory capacity of available computers. Data …

Wavefield compression for seismic imaging via convolutional neural networks

F Devoti, C Parera, A Lieto, D Moro, V Lipari… - … Exposition and Annual …, 2019 - onepetro.org
ABSTRACT FullWaveform Inversion and Reverse Time Migration are usually based on the
adjoint state method and rely on the ready availability of wavefield snapshots. Therefore …