A Denoising Method for Seismic Data Based on SVD and Deep Learning
文献类型:期刊论文
作者 | Guoli Ji; Chao Wang |
刊名 | Applied Sciences |
出版日期 | 2022 |
卷号 | 12期号:24页码:12840 |
关键词 | Mobilenetv2 Seismic Data Denoising Deep Learning Svd |
DOI | 10.3390/app122412840 |
英文摘要 | When reconstructing seismic data, the traditional singular value decomposition (SVD) denoising method has the challenge of difficult rank selection. Therefore, we propose a seismic data denoising method that combines SVD and deep learning. In this method, seismic data with different signal-to-noise ratios (SNRs) are processed by SVD. Data sets are created from the decomposed right singular vectors and data sets divided into two categories: effective signal and noise. The lightweight MobileNetV2 network was chosen for training because of its quick response speed and great accuracy. We forecasted and categorized the right singular vectors by SVD using the trained MobileNetV2 network. The right singular vector (RSV) corresponding to the noise in the seismic data was removed during reconstruction, but the effective signal was kept. The effective signal was projected to smooth the RSV. Finally, the goal of low SNR denoising of two-dimensional seismic data was accomplished. This approach addresses issues with deep learning in seismic data processing, including the challenge of gathering sample data and the weak generalizability of the training model. Compared with the traditional denoising method, the improved denoising method performs well at removing Gaussian and irregular noise with strong amplitudes. |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.gyig.ac.cn/handle/42920512-1/13622] |
专题 | 地球化学研究所_矿床地球化学国家重点实验室 |
作者单位 | 1.State Key Laboratory of Ore Deposit Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China 2.College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China |
推荐引用方式 GB/T 7714 | Guoli Ji,Chao Wang. A Denoising Method for Seismic Data Based on SVD and Deep Learning[J]. Applied Sciences,2022,12(24):12840. |
APA | Guoli Ji,&Chao Wang.(2022).A Denoising Method for Seismic Data Based on SVD and Deep Learning.Applied Sciences,12(24),12840. |
MLA | Guoli Ji,et al."A Denoising Method for Seismic Data Based on SVD and Deep Learning".Applied Sciences 12.24(2022):12840. |
入库方式: OAI收割
来源:地球化学研究所
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