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Application of shale TOC prediction model using the XGBoost machine learning algorithm: a case study of the Qiongzhusi Formation in central Sichuan Basin

Crossref DOI link: https://doi.org/10.1007/s13146-024-01042-4

Published Online: 2024-12-19

Published Print: 2025-02

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

Authors

Wu, Qiulong

Pang, Hong

Zhang, Benjian

Jiang, Fujie

Wu, Luya

Chen, Junqing

Ma, Kuiyou

Huo, Xungang
Funding

Funding for this research was provided by:

Hong Pang (JS2023-096, JS2023-096, JS2023-096, JS2023-096, JS2023-096, JS2023-096, JS2023-096, JS2023-096)
License Information

Text and Data Mining valid from 2024-12-19

Version of Record valid from 2024-12-19
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Article History

Accepted: 2 December 2024

First Online: 19 December 2024

Declarations

:

: The authors declare no competing interests.

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