A deep learning identification method of tight sandstone lithofacies integrating multilayer perceptron and multivariate time series

Lithofacies classification and identification are of great significance in the exploration and evaluation of tight sandstone reservoirs. Existing methods of lithofacies identification in tight sandstone reservoirs face issues such as lengthy manual classification, strong subjectivity of identificati...

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Veröffentlicht in:	Scientific reports 2024-12, Vol.14 (1), p.31252-22, Article 31252
Hauptverfasser:	Mu, Zihao, Li, Chunsheng, Liu, Zongbao, Liu, Tao, Zhang, Kejia, Mu, Haiwei, Yang, Yuchen, Xu, Cuiyun, Zhang, Ruixue
Format:	Artikel
Sprache:	eng
Schlagworte:	639/4077 639/705 Classification Deep learning Fuyu reservoir Humanities and Social Sciences Lithofacies Lithofacies classification Logging curves multidisciplinary Natural gas exploration Oil and gas exploration Petrography Reservoirs Sandstone Science Science (multidisciplinary) Time series
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