Subdivision of river channel sand micro-scale facies with feature attention spatio-temporal network

IntroductionSedimentary micro-scale facies research is essential for characterizing the lateral and vertical evolutionary patterns and contact relationships within sedimentary facies. This is critical for the redevelopment of high-water-cut oil reservoirs. The complexity of river channel sands, incl...

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Bibliographic Details
Main Authors:	Ruipu Zhao, Lili Zeng, Chendong Fu, Xiaoqing Zhao
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-03-01
Series:	Frontiers in Earth Science
Subjects:	sedimentary micro-scale facies spatio-temporal characteristics deep learning technology attention mechanism convolutional neural network long short-term memory
Online Access:	https://www.frontiersin.org/articles/10.3389/feart.2025.1542579/full
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Subdivision of river channel sand micro-scale facies with feature attention spatio-temporal network

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