Advances in research on methods for intelligent identification of seismic facies

BackgroundThe intelligent identification of seismic facies can significantly improve the efficiency of sedimentary system characterization and hydrocarbon reservoir interpretation. However, influenced by factors such as non-stationary geological bodies, high costs of sample labeling, and limited tra...

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Principais autores:	Xingye LIU, Peilin YU, Hengjun HE
Format:	Artigo
Jezik:	Chinês
Izdano:	Editorial Office of Coal Geology & Exploration 2026-06-01
Serija:	Meitian dizhi yu kantan
Teme:	seismic facies semi-supervised learning machine learning convolutional neural network seismic data
Online dostop:	http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.25.12.0891
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