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Explainable machine-learning workflow to improve real-time lithofacies identification using mudlogging data from a heterogeneous clastic reservoir sequence

Crossref DOI link: https://doi.org/10.1007/s10596-025-10394-2

Published Online: 2025-12-15

Published Print: 2025-12

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

Authors

Fetni, Yasmina https://orcid.org/0009-0006-4995-3808
Ameur-Zaimeche, Ouafi https://orcid.org/0000-0003-1886-3034
Wood, David A. https://orcid.org/0000-0003-3202-4069
Heddam, Salim https://orcid.org/0000-0002-8055-8463
Al-Mudhafar, Watheq J. https://orcid.org/0000-0002-5327-8300
Kechiched, Rabah https://orcid.org/0000-0002-4729-7126
License Information

Text and Data Mining valid from 2025-12-01

Version of Record valid from 2025-12-01
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Article History

Received: 31 December 2024

Accepted: 12 November 2025

First Online: 15 December 2025

Declarations

:

: The authors report no potential conflict of interest.

: There is no financial support for the preparation of the article.

: The authors declare no competing interests.

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