Parameter-shared variational auto-encoding adversarial network for desert seismic data denoising in Northwest China
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2021.104428
Abstract: Abstract One of the key and difficult points in seismic data processing is seismic data denoising. Under the influence of the acquisition environment, the collected seismic data usually have low signal-to-noise ratio (SNR) and low… read more here.
Keywords: seismic data; data denoising; desert seismic; noise ... See more keywords
Low-frequency noise suppression of desert seismic data based on signal oscillation component decomposition
Sign Up to like & getrecommendations! Published in 2020 at "Exploration Geophysics"
DOI: 10.1080/08123985.2020.1715792
Abstract: Exploration of oil and gas resources in complex areas has always been a key issue in seismic exploration. The Tarim Basin, covered by a large area of desert, contains abundant oil-gas reservoir resources. However, due… read more here.
Keywords: frequency; desert seismic; seismic data; noise ... See more keywords
Desert Seismic Signal Denoising Based on Unsupervised Feature Learning and Time–Frequency Transform Technique
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3067645
Abstract: Noise reduction is an essential step in seismic exploration. Formally, the random broadband noise in the desert seismic is characterized as nonlinear, nonstationary, and non-Gaussian, and the energy is concentrated mainly in the low-frequency range.… read more here.
Keywords: noise; frequency; desert seismic; feature learning ... See more keywords
The Application of Semisupervised Attentional Generative Adversarial Networks in Desert Seismic Data Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3073419
Abstract: For imaging and interpretation, high-quality seismic data are necessary. However, noise, which is strong in field desert seismic data, inevitably diminishes the quality of the data and reduces the signal-to-noise ratio. Moreover, the effective signals… read more here.
Keywords: seismic data; attentional generative; generative adversarial; application semisupervised ... See more keywords
Relative Attributes-Based Generative Adversarial Network for Desert Seismic Noise Suppression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3135034
Abstract: Since seismic data will be interfered with by a host of complicated noise during the acquisition process, the quality of the acquired seismic data is usually poor. The overlap of signals and noise makes it… read more here.
Keywords: relative attributes; attributes based; desert seismic; suppression ... See more keywords
Desert Seismic Low-Frequency Noise Attenuation Using Low-Rank Decomposition-Based Denoising Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3055506
Abstract: Desert seismic data are often characterized by low signal-to-noise ratio (SNR) due to the fickle surface conditions and desert random noise with nonstationarity, nonlinearity, spatial directivity, and low-frequency characteristics. This low SNR is likely to… read more here.
Keywords: seismic data; neural network; low rank; desert seismic ... See more keywords