Lithology identification based on ramified structure model using generative adversarial network for imbalanced data-Reference-Cited by-同舟云学术

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Lithology identification based on ramified structure model using generative adversarial network for imbalanced data

Published:2024-09 Issue: Volume:240 Page:213036
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Qian Haiyu^ORCID,Geng Yanfeng,Wang Hongyu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference35 articles.

1. The k-means algorithm: A comprehensive survey and performance evaluation;Ahmed;Electronics,2020

2. Determination of lithology from well logs by statistical analysis;Busch;SPE Form. Eval.,1987

3. SegLog: Geophysical logging segmentation network for lithofacies identification;Chang;IEEE Trans. Ind. Inform.,2022

4. Application of cross-plotting techniques for delineation of coal and non-coal litho-units from well logs;Chatterjee;Geomaterials,2012

5. SMOTE: synthetic minority over-sampling technique;Chawla;J. Artif. Intell. Res.,2002

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1. LWGAIN: An Improved Missing Data Imputation Method Based on Generative Adversarial Imputation Network;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

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