z-logo
open-access-imgOpen Access
Applications and theoretical perspectives of artificial intelligence in the rate of penetration
Author(s) -
Chinedu I. Ossai,
Ugochukwu I. Duru
Publication year - 2020
Publication title -
petroleum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.805
H-Index - 24
eISSN - 2405-6561
pISSN - 2405-5816
DOI - 10.1016/j.petlm.2020.08.004
Subject(s) - computation , artificial neural network , artificial intelligence , computer science , rate of penetration , machine learning , empirical modelling , models of neural computation , algorithm , engineering , simulation , drilling , mechanical engineering

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom