Results 21 to 30 of about 19,474 (278)
Seismic random noise suppression using improved CycleGAN
Frontiers in Earth Science, 2023 Random noise adversely affects the signal-to-noise ratio of complex seismic signals in complex surface conditions and media. The primary challenges related to processing seismic data have always been reducing the random noise and increasing the signal-to-
Shimin Sun +8 more
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Noise in Marine Seismic Data [PDF]
, 2010 Marine seismic is a well established method to search for subsurface hydrocarbon deposits. However, the method is often limited by various sources of noise, of which flow and swell noise are the dominating types.
Elboth, Thomas
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Interferometric surface-wave isolation and removal [PDF]
, 2007 The removal of surface waves (ground roll) from land seismic data is critical in seismic processing because these waves tend to mask informative body-wave arrivals.
Robertsson, Johan O. A. +3 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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The potential of self-supervised networks for random noise suppression in seismic data [PDF]
, 2021 Noise suppression is an essential step in many seismic processing workflows. A portion of this noise, particularly in land datasets, presents itself as random noise.
Birnie, Claire Emma +3 more
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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-Garcia +2 more
openaire +3 more sources
, 2022 Dataset of the study of Fornasari, S. F., Ertuncay, D., and Costa, G.: Seismic Background Noise Levels in Italian Strong Motion Network, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2022-258, in review, 2022.
Simone Francesco Fornasari (14098625) +2 more
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Monitoring seismic velocity changes at Turrialba using ambient seismic noise interferometry [PDF]
, 2023 Lynner, ColtonSeismic Ambient Noise Interferometry (SNI) is a prevalent tool for monitoring volcanic and associated seismic hazards. Reconstructing Empirical Green’s Functions by cross-correlation (CCs) of continuous seismic noise recordings allows us to
Oliva, Lazaro R.
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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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A single-station method for the detection, classification and location of fin whale calls using ocean-bottom seismic stations [PDF]
, 2015 Passive seismic monitoring in the oceans uses long-term deployments of Ocean Bottom Seismometers (OBSs). An OBS usually records the three components of ground motion and pressure, typically at 100Hz.
Luis Matias +3 more
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