Seismic shot gather denoising by using a supervised-deep-learning method with weak dependence on real noise data: A solution to the lack of real noise data

X Dong, J Lin, S Lu, X Huang, H Wang, Y Li - Surveys in Geophysics, 2022 - Springer
In recent years, supervised-deep-learning methods have shown some advantages over
conventional methods in seismic data denoising, such as higher signal-to-noise ratio after …

Deep learning with fully convolutional and dense connection framework for ground roll attenuation

L Yang, S Wang, X Chen, OM Saad, W Cheng… - Surveys in …, 2023 - Springer
Ground roll could seriously mask the useful reflection signals and decrease the signal-to-
noise ratio (S/N) of seismic data, thereby affecting the subsequent seismic data processing …

Multiscale spatial attention network for seismic data denoising

X Dong, J Lin, S Lu, H Wang, Y Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Seismic background noise often damages the desired signals, thereby resulting in some
artifacts in the seismic imaging that follows. Since about 2016, some supervised-deep …

Deep learning seismic random noise attenuation via improved residual convolutional neural network

L Yang, W Chen, H Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Because a high signal-to-noise ratio (SNR) is beneficial to the subsequent processing
procedures, the noise attenuation is important. We propose an adaptive random noise …

Seismic ground‐roll noise attenuation using deep learning

H Kaur, S Fomel, N Pham - Geophysical Prospecting, 2020 - earthdoc.org
We propose to adopt a deep learning based framework using generative adversarial
networks for ground‐roll attenuation in land seismic data. Accounting for the non‐stationary …

Unsupervised deep learning for ground roll and scattered noise attenuation

D Liu, MD Sacchi, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The attenuation of coherent noise in land seismic data, specifically ground roll and near-
surface scattered energy, remains a longstanding challenge. Although recent advances in …

Deformation of crust and upper mantle in central Tibet caused by the northward subduction and slab tearing of the Indian lithosphere: New evidence based on shear …

C Wu, X Tian, T Xu, X Liang, Y Chen, M Taylor… - Earth and Planetary …, 2019 - Elsevier
Shear-wave splitting provides insight into geodynamic processes such as lithospheric
deformation and upper mantle flow. This study presents shear wave splitting parameters …

Seismic data reconstruction based on multiscale attention deep learning

M Cheng, J Lin, S Lu, S Dong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Seismic data reconstruction is always an essential step in the field of seismic data
processing. Effective reconstruction methods can obtain high-density information at low-cost …

Ground-roll attenuation using generative adversarial networks

Y Yuan, X Si, Y Zheng - Geophysics, 2020 - library.seg.org
Ground roll is a persistent problem in land seismic data. This type of coherent noise often
contaminates seismic signals and severely reduces the signal-to-noise ratio of seismic data …

Deep reflection seismic imaging of iron‐oxide deposits in the Ludvika mining area of central Sweden

M Markovic, G Maries, A Malehmir… - Geophysical …, 2020 - earthdoc.org
Reflection seismic data were acquired within two field campaigns in the Blötberget, Ludvika
mining area of central Sweden, for deep imaging of iron‐oxide mineralization that were …