Noise types and their attenuation in towed marine seismic: A tutorial
The presence of noise in towed marine seismic data is a long-standing problem. The various
types of noise present in marine seismic records are never truly random. Instead, seismic …
types of noise present in marine seismic records are never truly random. Instead, seismic …
Trace-wise coherent noise suppression via a self-supervised blind-trace deep-learning scheme
Seismic data denoising via supervised deep learning is effective and popular but requires
noise-free labels, which are rarely available. Blind-spot networks circumvent this …
noise-free labels, which are rarely available. Blind-spot networks circumvent this …
Unsupervised deep learning with higher-order total-variation regularization for multidimensional seismic data reconstruction
In 3D marine seismic acquisition, the seismic wavefield is not sampled uniformly in the
spatial directions. This leads to a seismic wavefield consisting of irregularly and sparsely …
spatial directions. This leads to a seismic wavefield consisting of irregularly and sparsely …
Unsupervised erratic seismic noise attenuation with robust deep convolutional autoencoders
F Qian, W Guo, Z Liu, H Yu, G Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Erratic seismic noise, following a (known or unknown) non-Gaussian distribution, poses a
formidable challenge to conventional methods of random noise attenuation. Many erratic …
formidable challenge to conventional methods of random noise attenuation. Many erratic …
Ground truth-free 3-D seismic random noise attenuation via deep tensor convolutional neural networks in the time-frequency domain
The inherent challenge of 3-D seismic noise attenuation is determining how to uncover high-
dimensional concise structures that only exist in true signals to eliminate random noise. The …
dimensional concise structures that only exist in true signals to eliminate random noise. The …
Unsupervised seismic facies classification using deep convolutional autoencoder
With the increased size and complexity of seismic surveys, manual labeling of seismic facies
has become a significant challenge. Application of automatic methods for seismic facies …
has become a significant challenge. Application of automatic methods for seismic facies …
Deblending and recovery of incomplete blended data via MultiResUnet
B Wang, J Li, D Han, J Song - Surveys in Geophysics, 2022 - Springer
Blended acquisition is still open to improve the efficiency of seismic data acquisition.
Deblending is an essential procedure to provide separated gathers for subsequent …
Deblending is an essential procedure to provide separated gathers for subsequent …
Unsupervised intense VSP coupling noise suppression with iterative robust deep learning
Due to the poorly coupled geophones present in boreholes, vertical seismic profiling (VSP)
data are known to suffer from intense coupling noise, which causes severe VSP image …
data are known to suffer from intense coupling noise, which causes severe VSP image …
Seismic data reconstruction based on a multicascade self-guided network
Due to inherent limitations in data acquisition, seismic data reconstruction is an important
procedure to recover missing data or improve observation density. Many conventional …
procedure to recover missing data or improve observation density. Many conventional …
Seismic random noise attenuation based on M-ResUNet
J Gao, Z Li, M Zhang - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
Suppressing random noise and improving the signal-to-noise ratio of seismic data are of
great significance for subsequent high-precision processing. As one of the most popular …
great significance for subsequent high-precision processing. As one of the most popular …