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Supervised and unsupervised machine learning for reservoir characterization in heterogeneous geological settings: a case study from the eastern Sirte Basin, Libya

Crossref DOI link: https://doi.org/10.1007/s11600-025-01692-5

Published Online: 2025-09-13

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

Authors

Abdelnabi, Abdalla

Abdalla, Muneer https://orcid.org/0000-0001-7344-0267
Qaysi, Saleh

Abushalah, Yousf

Balhasan, Saad
Funding

Funding for this research was provided by:

King Saud University (RSP2025R432)
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Text and Data Mining valid from 2025-09-13

Version of Record valid from 2025-09-13
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Article History

Received: 7 January 2025

Accepted: 20 August 2025

First Online: 13 September 2025

Declarations

:

: The authors have no conflicts of interest to declare. 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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