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An Artificial Neural Network Approach for Predicting TOC and Comprehensive Pyrolysis Parameters from Well Logs and Applications to Source Rock Evaluation

Crossref DOI link: https://doi.org/10.1007/s11053-024-10374-w

Published Online: 2024-07-14

Published Print: 2024-10

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

Authors

Salaim, Mohamed Elfatih https://orcid.org/0000-0001-8200-5857
Ma, Huolin

Hu, Xiangyun

Quer, Hatim
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (42220104002)
License Information

Text and Data Mining valid from 2024-07-14

Version of Record valid from 2024-07-14
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Article History

Received: 17 December 2023

Accepted: 30 June 2024

First Online: 14 July 2024

Change Date: 25 July 2024

Change Type: Update

Change Details: The typo in author name at running header and the section level of “Thermal Maturity” section heading has been corrected.

DECLARATIONS

:

: The authors have no competing interests to declare that are relevant to the content of this article.

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