Results 311 to 320 of about 24,964,284 (390)

DeepSeg: Deep Segmental Denoising Neural Network for Seismic Data

IEEE Transactions on Neural Networks and Learning Systems, 2022
Noise attenuation is a crucial phase in seismic signal processing. Enhancing the signal-to-noise ratio (SNR) of registered seismic signals improves subsequent processing and, eventually, data analysis and interpretation.
Naveed Iqbal
semanticscholar   +1 more source

Unsupervised Deep Learning for Random Noise Attenuation of Seismic Data

IEEE Geoscience and Remote Sensing Letters, 2022
Random noise attenuation is an essential step to improve the signal-to-noise ratio (SNR) of seismic data. Deep learning for seismic data denoising is dominated by supervised methods that require noise-free data as training targets.
B. Liu, Jinghang Yue, Zhiwu Zuo, Xinji Xu, Chao Fu, Senlin Yang, Peng Jiang   +6 more
semanticscholar   +1 more source

Deep Learning Prior Model for Unsupervised Seismic Data Random Noise Attenuation

IEEE Geoscience and Remote Sensing Letters, 2021
Denoising is an indispensable step in seismic data processing. Deep-learning-based seismic data denoising has been recently attracting attentions due to its outstanding performance.
Chenyu Qiu, Bangyu Wu, Naihao Liu, Xu Zhu, Haoran Ren   +4 more
semanticscholar   +1 more source

A Convolutional Autoencoder Method for Simultaneous Seismic Data Reconstruction and Denoising

IEEE Geoscience and Remote Sensing Letters, 2021
Petroleum geophysical exploration is based on seismic data and has been widely affected by deep learning technology in recent years. As a consequence of the high efficiency and nonlinear fitting ability of deep learning models, we propose an improved ...
Jinsheng Jiang, Haoran Ren, Meng Zhang
semanticscholar   +1 more source

SeismoGen: Seismic Waveform Synthesis Using GAN With Application to Seismic Data Augmentation

Journal of Geophysical Research: Solid Earth, 2021
Detecting earthquake arrivals within seismic time series can be a challenging task. Visual, human detection has long been considered the gold standard but requires intensive manual labor that scales poorly to large data sets.
Tiantong Wang, D. Trugman, Youzuo Lin
semanticscholar   +1 more source

Application of the local maximum synchrosqueezing transform for seismic data

Digit. Signal Process., 2021
Seismic signal analysis is the main step in data processing through the petroleum exploration via costly seismic investigations. Precision of target delineation by seismic data for exploratory drilling strongly depends on resolution of the seismic image.
A. Mahdavi, A. R. Kahoo, M. Radad, M. S. Monfared   +3 more
semanticscholar   +1 more source

Water input into the Mariana subduction zone estimated from ocean-bottom seismic data

Nature, 2018
C. Cai, D. Wiens, W. Shen, M. Eimer
semanticscholar   +3 more sources

RECONSTRUCTION OF SEISMIC IMPEDANCE FROM MARINE SEISMIC DATA

Theoretical and Computational Acoustics 2005, 2006
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Raymond Mabuza, Boy, Sofianos, S.A., Braun, Moritz, Idier, Jérôme   +3 more
openaire   +2 more sources

Seismic fault detection in real data using transfer learning from a convolutional neural network pre-trained with synthetic seismic data

Computational Geosciences, 2020
The challenging task of automatic seismic fault detection recently gained in quality with the emergence of deep learning techniques. Those methods successfully take advantage of a large amount of seismic data and have excellent potential for assisted ...
Augusto Cunha, A. Pochet, H. Lopes, M. Gattass   +3 more
semanticscholar   +1 more source

Seismic data compression

Ninth Annual International Phoenix Conference on Computers and Communications. 1990 Conference Proceedings, 1990
An investigation of low-rate seismic data compression using transform techniques is presented. This study concentrates on discrete orthogonal transforms such as the discrete Fourier transform (DFT), the discrete cosine transform (DCT), the Walsh-Hadamard transform (WHT), and the Karhunen-Loeve transform (KLT).
S.B. Jonsson, A.S. Spanias
openaire   +1 more source