Convolutional autoencoder network lithology recognition based on scratch tests

Convolutional autoencoder network lithology recognition based on scratch tests

Abstract To address the characteristic of frequent lithological alternations in the continental shale of the Songliao Basin in China and meet the refined requirements of reservoir modeling, it is necessary to establish a higher-precision lithology identification method. This study conducted scratch...

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Bibliographic Details
Main Authors: Suling Wang, Zhihui Ren, Kangxing Dong, Yanchun Li, Jinbo Li, Pengyun Wen, Ruyi Qu, Tingting Li, Zhennan Wen
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Continental shale
Lithology recognition
Scratch tests
Recognition size
CAE network
Online Access:https://doi.org/10.1038/s41598-025-14147-0
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https://doi.org/10.1038/s41598-025-14147-0

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