Applications of deep neural networks in exploration seismology: A technical survey
Exploration seismology uses reflected and refracted seismic waves, emitted from a
controlled (active) source into the ground, and recorded by an array of seismic sensors …
controlled (active) source into the ground, and recorded by an array of seismic sensors …
Noise types and their attenuation in towed marine seismic: A tutorial
The presence of noise in towed marine seismic data is a long-standing problem. The various
types of noise present in marine seismic records are never truly random. Instead, seismic …
types of noise present in marine seismic records are never truly random. Instead, seismic …
Unsupervised seismic footprint removal with physical prior augmented deep autoencoder
Seismic acquisition footprints appear as stably faint and dim structures and emerge fully
spatially coherent, causing inevitable damage to useful signals during the suppression …
spatially coherent, causing inevitable damage to useful signals during the suppression …
Repeatability enhancement of time-lapse seismic data via a convolutional autoencoder
In an ideal case, the time-lapse differences in 4-D seismic data should only reflect the
changes of the subsurface geology. Practically, however, undesirable discrepancies are …
changes of the subsurface geology. Practically, however, undesirable discrepancies are …
Attention-based neural network for erratic noise attenuation from seismic data with a shuffled noise training data generation strategy
S Wang, P Song, J Tan, B He… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The supervised neural network-based method provides an effective way for seismic data
denoising. The noise level of seismic erratic noise, ie, outlier, varies from traces, time …
denoising. The noise level of seismic erratic noise, ie, outlier, varies from traces, time …
Random noise attenuation of sparker seismic oceanography data with machine learning
H Jun, HT Jou, CH Kim, SH Lee, HJ Kim - Ocean Science, 2020 - os.copernicus.org
Seismic oceanography (SO) acquires water column reflections using controlled source
seismology and provides high lateral resolution that enables the tracking of the …
seismology and provides high lateral resolution that enables the tracking of the …
Semi‐blind‐trace algorithm for self‐supervised attenuation of trace‐wise coherent noise
Trace‐wise noise is a type of noise often seen in seismic data, which is characterized by
vertical coherency and horizontal incoherency. Using self‐supervised deep learning to …
vertical coherency and horizontal incoherency. Using self‐supervised deep learning to …
Loss functions in machine learning for seismic random noise attenuation
H Jun, HJ Kim - Geophysical Prospecting, 2024 - earthdoc.org
Seismic random noise is one of the main factors that degrade the quality of seismic data.
Therefore, seismic random noise attenuation should be performed appropriately through …
Therefore, seismic random noise attenuation should be performed appropriately through …
Joint-Guided Denoising Network for Erratic Noise Attenuation
In seismic exploration, erratic noise is a type of intense and complicated interference with
large-amplitude and non-Gaussian distributions. The presence of erratic noise has been …
large-amplitude and non-Gaussian distributions. The presence of erratic noise has been …
Research on combined processing techniques of air gun and sparker source towed streamer seismic data
Z Yang, X Wang, X Hao, H Qian, X Chen - Marine Geophysical Research, 2022 - Springer
In recent years, sparker source has gradually been applied for high-resolution seismic
surveys. But the air gun is still the most commonly used seismic sources in marine seismic …
surveys. But the air gun is still the most commonly used seismic sources in marine seismic …