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Quantitative Classification and Prediction of Diagenetic Facies in Tight Gas Sandstone Reservoirs via Unsupervised and Supervised Machine Learning Models: Ledong Area, Yinggehai Basin

Crossref DOI link: https://doi.org/10.1007/s11053-023-10252-x

Published Online: 2023-09-21

Published Print: 2023-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhao, Xiaobo

Chen, Xiaojun https://orcid.org/0000-0002-9348-8345
Chen, Wen

Liu, Mingqian

Yao, Yue

Wang, Hua

Zhang, Hui

Yao, Guangqing
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (No. 42002171, No. U19B2007)

Postdoctoral Research Foundation of China (No. 2020TQ0299)

Postdoctoral Science Foundation of Hubei Province
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Text and Data Mining valid from 2023-09-21

Version of Record valid from 2023-09-21
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Article History

Received: 1 June 2022

Accepted: 13 August 2023

First Online: 21 September 2023

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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