Real-time rate of penetration prediction for motorized bottom hole assembly using machine learning methods
Crossref DOI link: https://doi.org/10.1038/s41598-023-41782-2
Published Online: 2023-09-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shokry, Amir
Elkatatny, Salaheldin
Abdulraheem, Abdulazeez
Text and Data Mining valid from 2023-09-03
Version of Record valid from 2023-09-03
Article History
Received: 23 May 2023
Accepted: 31 August 2023
First Online: 3 September 2023
Competing interests
: The authors declare no competing interests.