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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
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 …
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
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 …
noise ratio (S/N) of seismic data, thereby affecting the subsequent seismic data processing …
Multiscale spatial attention network for seismic data denoising
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 …
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
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 …
procedures, the noise attenuation is important. We propose an adaptive random noise …
Seismic ground‐roll noise attenuation using deep learning
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 …
networks for ground‐roll attenuation in land seismic data. Accounting for the non‐stationary …
Unsupervised deep learning for ground roll and scattered noise attenuation
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 …
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 …
Shear-wave splitting provides insight into geodynamic processes such as lithospheric
deformation and upper mantle flow. This study presents shear wave splitting parameters …
deformation and upper mantle flow. This study presents shear wave splitting parameters …
Seismic data reconstruction based on multiscale attention deep learning
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 …
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 …
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
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 …
mining area of central Sweden, for deep imaging of iron‐oxide mineralization that were …