Application of artificial neural network to predict the rate of penetration for S-shape well profile
Crossref DOI link: https://doi.org/10.1007/s12517-020-05821-w
Published Online: 2020-08-10
Published Print: 2020-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Al-Abduljabbar, Ahmad
Gamal, Hany
Elkatatny, Salaheldin
Text and Data Mining valid from 2020-08-01
Version of Record valid from 2020-08-01
Article History
Received: 9 June 2020
Accepted: 30 July 2020
First Online: 10 August 2020
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.