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Detecting shallow gas reservoir in the f3 block, The Netherlands, using offshore seismic data and high-resolution multi-synchrosqueezing transform
The presence of natural gas reserves is correlated frequently with the observation of a
shadow with low frequency. The phenomenon known as" low-frequency shadow" describes …
shadow with low frequency. The phenomenon known as" low-frequency shadow" describes …
Identification of thin gas reservoir in reflection seismic data by synchrosqueezing S-transform in time-frequency representation
Time-frequency seismic attributes extract important information from the seismic signals and
exhibit valuable properties and seismic characteristics of the acquired data. However …
exhibit valuable properties and seismic characteristics of the acquired data. However …
Ground-roll attenuation using dual-model self-supervised selective learning with blind horizontal convolutional neural networks
YH Son, H Park, Y Cho, DJ Min - Journal of Applied Geophysics, 2024 - Elsevier
Ground-roll is a coherent noise that we inevitably encounter during seismic data acquisition
on land. It broadly conceals the reflected wave signals, reducing the signal-to-noise ratio …
on land. It broadly conceals the reflected wave signals, reducing the signal-to-noise ratio …
Seismic data filtering using deconvolutive short-time Fourier transform
Cohen class distributions are well-known time-frequency distributions that have been widely
used to analyze different signals. However, they are impractical for signal filtering because …
used to analyze different signals. However, they are impractical for signal filtering because …
[HTML][HTML] Automatic robust crackle detection and localization approach using AR-based spectral estimation and support vector machine
Auscultation primarily relies upon the acoustic expertise of individual doctors in identifying,
through the use of a stethoscope, the presence of abnormal sounds such as crackles …
through the use of a stethoscope, the presence of abnormal sounds such as crackles …
Algorithms for time–frequency imaging and analysis: introduction to mixed-model spectral decomposition
A Pant, D Ghosal, C Puryear, SN Verma - Acta Geophysica, 2024 - Springer
Time–frequency algorithms help discern and filter hidden information from signals but their
growing abundance induces non-uniqueness thus, complicating selection. Classification of …
growing abundance induces non-uniqueness thus, complicating selection. Classification of …
Seismic random noise attenuation with deep skip autoencoder based on hybrid attention mechanism
L Huang, Y Xue, S Chen - Journal of Applied Geophysics, 2024 - Elsevier
Denoising seismic data is a crucial step in seismic data processing to enhance the signal-to-
noise ratio of data because random noise is inevitably introduced during seismic data …
noise ratio of data because random noise is inevitably introduced during seismic data …
A 3D surface wave attenuation method based on dispersion curve analysis and its application
H Yuanyuan, Y Rui, P Jishun, L **n - Acta Geophysica, 2024 - Springer
The thick loess sediments produce a lot of noise during seismic acquisition, typically surface
wave. Conventional methods are difficult while suppressing 3D surface waves since they …
wave. Conventional methods are difficult while suppressing 3D surface waves since they …
Characteristics of Micro-Seismic Events Induced by Ground Collapse—A Case Study in the Rongxing Gypsum Mine in Hubei Province, China
H Wang, T Chen, G Xu - Sensors, 2024 - mdpi.com
Mining activities can damage rock masses and easily induce ground collapse, which
seriously threatens safe production in mining areas. Micro-seismic systems can monitor rock …
seriously threatens safe production in mining areas. Micro-seismic systems can monitor rock …