Home Journals Articles Updates About
CN
image
收藏切换
Optimized random subsampling and data reconstruction in seismic exploration of sandstone-type uranium deposits based on compressed sensing
收藏切换
PDF
Yucheng HUANG1, 2, 3, Qubo WU1, 2, 3, Liyun KONG4, Ziwei LI1, 2, 3, Baoping QIAO1, 2, 3, Chengyin CAO1, 2, 3, Ziqiang PAN1, 2, 3, Weichuan HUANG1, 2, 3
World Nuclear Geoscience | 2025, 42(2) : 317 - 328
Less
收藏切换
World Nuclear Geoscience | 2025, 42(2): 317-328
• RESEARCH ARTICALS •
Optimized random subsampling and data reconstruction in seismic exploration of sandstone-type uranium deposits based on compressed sensing
Full
Yucheng HUANG1, 2, 3, Qubo WU1, 2, 3, Liyun KONG4, Ziwei LI1, 2, 3, Baoping QIAO1, 2, 3, Chengyin CAO1, 2, 3, Ziqiang PAN1, 2, 3, Weichuan HUANG1, 2, 3
Affiliations
  • 1 National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing， Beijing 100029， China
  • 2 Beijing Research Institute of Uranium Geology， Beijing 100029， China
  • 3 CNNC Key Laboratory of Uranium Resources Exploration and Evaluation Technology, Beijing 100029， China
  • 4 Oil and Gas Survey Center, China Geological Survey， Beijing 100083， China
Published: 2025-04-08 doi: 10.3969/j.issn.1672-0636.2025.02.008
Outline
收藏切换

Excessively high acquisition cost is one of the main factors restricting the large-scale application of seismic exploration methods in geophysical prospecting of sandstone-type uranium deposits. Compressed sensing theory can achieve low-cost seismic data acquisition through compressed measurement and sparse reconstruction, thereby improving the economic benefits of seismic exploration methods for sandstone-type uranium deposits. In practical operations, the design of the measurement matrix in compressed sensing theory, that is, the quality of the subsampling method, is one of the keys to the success or failure of seismic data reconstruction. In this paper, the improved piecewise random subsampling method is combined with the edge-preserving piecewise random subsampling method，and an optimized edge-preserving piecewise random subsampling method is proposed. Through the Gram matrix analysis under different decimation ratio parameter conditions, forward-modeling data comparison and the real seismic data application of sandstone-type uranium deposits in the Songliao basin, it is shown that the optimized subsampling method proposed in this study has the best comprehensive performance and can be used as an effective method for random subsampling in seismic exploration of sandstone-type uranium deposits, which can provide a good data basis for subsequent sparse recovery.

seismic exploration of sandstone-type uranium deposits  /  compressed sensing  /  optimized edge-preserving piecewise random subsampling  /  sparse recovery
Yucheng HUANG, Qubo WU, Liyun KONG, Ziwei LI, Baoping QIAO, Chengyin CAO, Ziqiang PAN, Weichuan HUANG. Optimized random subsampling and data reconstruction in seismic exploration of sandstone-type uranium deposits based on compressed sensing[J]. World Nuclear Geoscience, 2025 , 42 (2) : 317 -328 . DOI: 10.3969/j.issn.1672-0636.2025.02.008
Funding
Less
  • China National Nuclear Corporation Young Talent Project(物QNYC2203)
Appendix
Less
Year 2025 volume 42 Issue 2
PDF
107
48
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1672-0636.2025.02.008
  • Receive Date：2025-02-21
  • Online Date：2025-10-29
  • Published：2025-04-08
Article Data
Affiliations
History
  • Received：2025-02-21
  • Revised：2025-03-16
Funding
China National Nuclear Corporation Young Talent Project(物QNYC2203)
Affiliations
    1 National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing， Beijing 100029， China
    2 Beijing Research Institute of Uranium Geology， Beijing 100029， China
    3 CNNC Key Laboratory of Uranium Resources Exploration and Evaluation Technology, Beijing 100029， China
    4 Oil and Gas Survey Center, China Geological Survey， Beijing 100083， China
References
Share
https://castjournals.cast.org.cn/joweb/hdzkx/EN/10.3969/j.issn.1672-0636.2025.02.008
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House