Research progress of random noise attenuation methods for seismic data based on deep learning

被引：0
|
作者：
Cui, Yang [1 ,2 ]
Wang, Yannan [2 ]
Chen, Wanli [2 ]
Zhang, Hong [2 ]
Zhu, Dandan [2 ]
Bai, Min [1 ,2 ]
机构：
[1] Key Laboratory of Exploration Technologies for Oil and Gas Resources, Yangtze University, Ministry of Education, Hubei, Wuhan,430100, China
[2] School of Geophysics and Petroleum Resources, Yangtze University, Hubei, Wuhan,430100, China
来源：
Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2023年 / 58卷 / 05期
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
10.13810/j.cnki.issn.1000-7210.2023.05.023
中图分类号：
学科分类号：
摘要：
Convolution - Deep neural networks - Learning systems - Network performance - Seismology - Transfer learning
引用
收藏
页码：1269 / 1283
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