Deep Learning with Fault Prior for 3D Seismic Data Super-Resolution

Seismic data are always in low-resolution due to the limitations of seismic acquisition and processing technology, which bring challenges to subsequent seismic interpretation. Deep learning has been successfully applied to the seismic data super-resolution, all methods tend to directly learn the map...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023-03, p.1-1
Hauptverfasser:	Zhou, Ruoshui, Zhou, Cheng, Wang, Yaojun, Yao, Xingmiao, Hu, Guangmin, Yu, Fucai
Format:	Artikel
Sprache:	eng
Schlagworte:	3D seismic data super-resolution Convolutional neural networks Deep learning fault prior Image reconstruction knowledge distillation Knowledge engineering Superresolution Three-dimensional displays Training
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