Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 2
Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-595-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-595-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 2
Data description article
 | 
10 Feb 2025
Data description article |  | 10 Feb 2025

cigFacies: a massive-scale benchmark dataset of seismic facies and its application

Hui Gao, Xinming Wu, Xiaoming Sun, Mingcai Hou, Hang Gao, Guangyu Wang, and Hanlin Sheng

Viewed

Total article views: 4,134 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,094 1,816 224 4,134 87 150
  • HTML: 2,094
  • PDF: 1,816
  • XML: 224
  • Total: 4,134
  • BibTeX: 87
  • EndNote: 150
Views and downloads (calculated since 07 Oct 2024)
Cumulative views and downloads (calculated since 07 Oct 2024)

Viewed (geographical distribution)

Total article views: 4,134 (including HTML, PDF, and XML) Thereof 3,971 with geography defined and 163 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 28 Apr 2026
Download
Short summary
We propose three strategies for field seismic data curation, knowledge-guided synthesization, and generative adversarial network (GAN)-based generation to construct a massive-scale, feature-rich, and high-realism benchmark dataset of seismic facies and evaluate its effectiveness in training a deep-learning model for automatic seismic facies classification.
Read more
Share
Altmetrics
Final-revised paper
Preprint