Results 11 to 20 of about 1,182 (196)

Denoising of Seismic Data Based on Block Dictionary Learning Theory [PDF]

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, Xiangling WU, Wenjie LI, Jinghe LI   +3 more
doaj   +2 more sources

Three-dimensional seismic denoising based on deep convolutional dictionary learning [PDF]

Results in Applied Mathematics
Dictionary learning (DL) has been widely used for seismic data denoising. However, it is associated with the following challenges. First, learning a dictionary from one dataset cannot be applied to another dataset and requires setting learning and ...
Yuntong Li, Lina Liu
doaj   +2 more sources

Residual Learning of Cycle-GAN for Seismic Data Denoising

IEEE Access, 2021
Random noise attenuation has always been an indispensable step in the seismic exploration workflow. The quality of the results directly affects the results of subsequent inversion and migration imaging. This paper proposes a cycle-GAN denoising framework
Wenda Li, Jian Wang
doaj   +2 more sources

A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic Denoising [PDF]

IEEE Access
This study investigates the application of Spiking Neural Network (SNN) in seismic signal denoising by developing a Convolutional Neural Network (CNN) to SNN conversion framework. We focus on two challenges: optimal spike encoding strategy adaptation for
Shuna Chen, Zhege Liu, Ziyu Qin, Xinyi Liu, Yajuan Xue, Junxing Cao   +5 more
doaj   +2 more sources

Cold Diffusion Model for Seismic Denoising [PDF]

Journal of Geophysical Research: Machine Learning and Computation
Seismic waves contain information about the earthquake source, the geologic structure they traverse, and many forms of noise. Separating the noise from the earthquake is a difficult task because optimal parameters for filtering noise typically vary with time and, if chosen inappropriately, may strongly alter the original seismic waveform.
Daniele Trappolini, Laura Laurenti, Giulio Poggiali, Elisa Tinti, Fabio Galasso, Alberto Michelini, Chris Marone   +6 more
openaire   +3 more sources

Multi-scale dual-path attention network for seismic background noise attenuation [PDF]

Scientific Reports
The background noise in seismic records severely interferes with the extraction of effective reflection events, particularly in complex exploration environments such as deserts.
Li Han, Dongyan Wang, Feng Li
doaj   +2 more sources

Denoising seismic noise cross correlations [PDF]

Journal of Geophysical Research: Solid Earth, 2009
Seismic noise cross correlations have become a novel way of probing the elastic structure of the Earth without relying on an often highly nonuniform and sporadic distribution of earthquakes. By circumventing this restriction, one can determine the elastic Green's function between any two points where instruments exist.
Baig, Adam M., Campillo, Michel, Brenguier, Florent   +2 more
openaire   +5 more sources

Ecological Processes Underpinning Microbial Variability in Archean Granitoids Beneath the Deccan Traps: Evidence From Deep Drilling in Koyna, India [PDF]

Environmental Microbiology Reports, Volume 18, Issue 3, June 2026.
Deep biosphere hosted by Archean granitoid basement of Deccan Traps showed depth‐wise microbial partitioning. Limited dispersion and variable selection control community assembly. Fewer abundant bacterial taxa were ubiquitous, while large numbers of rare taxa remained localized.
Rajendra Prasad Sahu, Sufia Khannam Kazy, Debarshi Mukherjee, Sukanta Roy, Thomas Wiersberg, Pinaki Sar   +5 more
wiley   +2 more sources

Seismic data denoising based on attention dual dilated CNN [PDF]

Scientific Reports
Seismic data denoising is essential for accurate seismic-exploration data processing and interpretation. Traditional noise suppression methods often result in the loss of critical signals, affecting subsurface structure characterization.
Haixia Hu, Youhua Wei, Hui Chen, Xingan Fu, Ji Zhang, Quan Wang, Shiwei Cai   +6 more
doaj   +2 more sources

Self-Attention Generative Adversarial Network Interpolating and Denoising Seismic Signals Simultaneously [PDF]

Remote Sensing
In light of the challenging conditions of exploration environments coupled with escalating exploration expenses, seismic data acquisition frequently entails the capturing of signals entangled amidst diverse noise interferences and instances of data loss.
Mu Ding, Yatong Zhou, Yue Chi
doaj   +2 more sources