Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools
Crossref DOI link: https://doi.org/10.1007/s00521-020-05546-7
Published Online: 2021-01-01
Published Print: 2021-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Gowida, Ahmed
Elkatatny, Salaheldin http://orcid.org/0000-0002-7209-3715
Gamal, Hany
Text and Data Mining valid from 2021-01-01
Version of Record valid from 2021-01-01
Article History
Received: 11 July 2020
Accepted: 18 November 2020
First Online: 1 January 2021
Compliance with ethical standards
:
: The author declares no conflict of interest.