Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-595-2025
https://doi.org/10.5194/essd-17-595-2025
Data description paper
 | 
10 Feb 2025
Data description paper |  | 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

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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.
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