Results 31 to 40 of about 2,183,650 (313)
Random Noise Attenuation Based on Residual Convolutional Neural Network in Seismic Datasets
IEEE Access, 2020 Seismic random noise attenuation is a key step in seismic data processing. The random seismic data recorded by the detector tends to have strong noise, and this noisy seismic ratio can be seen as a low signal-to-noise ratio (SNR).
Liuqing Yang +4 more
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Journal of Geophysical Research: Solid Earth, 2020 In traditional surface wave tomography based on seismic noise, 2D phase or group velocity distribution is obtained by performing pure‐path inversion after extracting interstation velocities based on the noise cross‐correlation function. In this paper, we
Kaiming Wang +5 more
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Denoising of Seismic Data Based on Block Dictionary Learning Theory
CT Lilun yu yingyong yanjiu, 2022 With the increasingly complex observation environment of oil and gas exploration, the seismic data collected are often mixed with various noise signals, resulting in the effective weak signal caused by the exploration target is covered, which seriously ...
Junjie ZHOU +3 more
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Optimal processing for seismic noise correlations
Geophysical Journal International, 2020 A wide spectrum of processing schemes is commonly applied during the calculation of seismic noise correlations. This is intended to suppress large-amplitude transient and monochromatic signals, to accelerate convergence of the correlation process or to
A. Fichtner, D. Bowden, L. Ermert
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Seismic noise emission induced by seismic waves [PDF]
Geophysical Journal International, 1994 The in situ rock undergoing different kinds of deformation accumulates elastic energy that can be released spontaneously or under artificial effect. Triggering of energy can also be performed by means of a dynamic excitation caused by elastic waves. We carried out special field investigations with the use of seismic vibrators (Vibroseis-like sources ...
N. K. Privalovskiy, I. A. Beresnev
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Journal of Geophysical Research: Solid Earth, 2019 It has been widely recognized that the cross‐correlation function of ambient seismic noise data recorded at two stations approximates to the part of Greens function between two stations.
Jiannan Wang, Gaoxiong Wu, Xiaofei Chen
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Multi-scale interactive network in the application of DAS seismic data processing
Frontiers in Earth Science, 2023 Distributed acoustic sensing (DAS) is regarded as a novel acquisition technology for seismic data. Compared with conventional electrical geophones, DAS has a series of obvious advantages including low-cost, high spatial resolution, good coverage, and ...
Hongzhou Wang +5 more
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Seismic and Newtonian Noise in the GW Detectors
Galaxies, 2022 Gravitational wave detectors aim to measure relative length variations of the order of ΔL/L≃10−21, or less. Thus, any mechanism that is able to reproduce such a tiny variation can, in principle, threaten the sensitivity of these instruments, representing
Lucia Trozzo, Francesca Badaracco
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Seismic Interferometry from Correlated Noise Sources [PDF]
Remote Sensing, 2021 It is a well-established principle that cross-correlating seismic observations at different receiver locations can yield estimates of band-limited inter-receiver Green’s functions. This principle, known as Green’s function retrieval or seismic interferometry, is a powerful technique that can transform noise into signals which enable remote ...
Daniella Ayala +2 more
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OSG-057 Superconducting Gravimeter Noise Levels in Lhasa (China)
Terrestrial, Atmospheric and Oceanic Sciences, 2016 This research tests OSG-057 superconducting gravimeter (SG) performance in Lhasa in terms of noise levels in the seismic (2 min to 1 h), sub-seismic (1 to 6 h), and tidal (above 6 h) bands. Based on the Seismic Noise Magnitude (SNM) and Sub-Seismic Noise
Miaomiao Zhang +4 more
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