Results 41 to 50 of about 1,182 (196)
IEEE Access, 2021 Seismic exploration is a remote-sensing tool applied in a great many projects for engineering and resource-exploration purposes. Random noise suppression is one of the key steps in seismic-signal processing, especially those with important details and ...
Xiannan Wang, Jian Zhang, Hao Cheng
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Hybrid seismic denoising using higher-order statistics and improved wavelet block thresholding [PDF]
, 2016 We introduce a nondiagonal seismic denoising method based on the continuous wavelet transform with hybrid block thresholding (BT). Parameters for the BT step are adaptively adjusted to the inferred signal property by minimizing the unbiased risk estimate
Langston, Charles A. +1 more
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A novel wavelet seismic denoising method using type II fuzzy [PDF]
, 2016 DOI: 10.1016/j.asoc.2016.06.024 Link: http://www.sciencedirect.com/science/article/pii/S1568494616303040 Filiació URV: SIWavelet based denoising of the observed non stationary time series earthquake loading has become an important process in seismic ...
PUIG VALLS, DOMÈNEC SAVI; M. Beena mol; J. Mohanalin; S. Prabavathy; Jordina Torrents-Barrena
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Remote SensingThree-dimensional (3D) seismic data, essential for revealing subsurface structures and exploring oil and gas resources, are often contaminated by noise with an unknown prior distribution.
Zhonghan Zhang +5 more
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Random Noise Suppression Method of Micro-Seismic Data Based on CEEMDAN-FE-TFPF
Applied Sciences, 2022 As rock fractures caused by micro-seismic events has potential safety hazards to underground workers, it is often necessary to accurately locate the micro-seismic source for hidden danger investigation.
Jianting Chen +5 more
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SeisDeNet: an intelligent seismic data Denoising network for the internet of things
Journal of Cloud Computing: Advances, Systems and Applications, 2023 Deep learning (DL) has attracted tremendous interest in various fields in last few years. Convolutional neural networks (CNNs) based DL architectures have been successfully applied in computer vision, medical image processing, remote sensing, and many ...
Yu Sang +5 more
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Comparisons of wavelets, contourlets and curvelets in seismic denoising [PDF]
, 2009 International audienceSeismic synthetic records represent wave-front components which contain abundant damageable directional information about important geologic substances. However, the information is often polluted by random noises.
Yang, H., Ma, Jianwei, Shana, H.
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Frontiers in Earth Science, 2023 In recent years, distributed optical fiber acoustic sensing (DAS) technology has been increasingly used for vertical seismic profile (VSP) exploration. Even though this technology has the advantages of high spatial resolution, strong resistance to high ...
Cong Wang +3 more
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Rank-constrained seismic data interpolation and denoising
Brazilian Journal of Geophysics, 2022 Rank-constrained seismic data interpolation methods have been used to cope with spatial sampling deficiencies, but some fundamental aspects are often neglected. Understanding their underlying features is the first step for developing new solutions to overcome existing limitations.
Quézia Cavalcante, Milton Porsani
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Physics‐Supervised Autonomous Inverse Fracture Modeling via Generative Artificial Intelligence
Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.Abstract Fracture networks act as critical pathways for groundwater flow and transport, yet their characterization remains challenging due to subsurface inaccessibility and stochastic complexity. Traditional inversion methods are computationally expensive and often fail to capture fracture heterogeneity accurately.
Guodong Chen +5 more
wiley +1 more source