Seismic Facies Segmentation via A Segformer-based Specific Encoder-Decoder-Hypercolumns Scheme

Seismic facies classification plays an important role in oil and gas reservoir interpretation. In the past few years, convolution neural network (CNN)-based models have been widely used in supervised seismic facies classification. However, to improve some inherent limitations of CNNs, it is signific...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 61; S. 1
Hauptverfasser:	Wang, Zhiguo, Wang, Qiannan, Yang, Yang, Liu, Naihao, Chen, Yumin, Gao, Jinghuai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Circuit faults Classification Coders Convolution Decoding Feature extraction Floating point arithmetic Hypercolumn Image segmentation Neural networks Oil insulation Oil reservoirs Segformer Seismic data Seismic facies segmentation Seismic surveys Self-attention mechanism Semantic segmentation Training Transformer Transformers
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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