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
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