Prediction of fluid oil and gas volumes of shales with a deep learning model and its application to the Bakken and Marcellus shales
Crossref DOI link: https://doi.org/10.1038/s41598-022-23406-3
Published Online: 2022-12-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Şen, Şamil
Funding for this research was provided by:
Shalesys Inc (2022.1)
Text and Data Mining valid from 2022-12-02
Version of Record valid from 2022-12-02
Article History
Received: 29 June 2022
Accepted: 31 October 2022
First Online: 2 December 2022
Competing interests
: The author declares no competing interests.