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Automate Short Cyclic Well Job Candidacy Using Artificial Neural Networks–Enabled Lean Six Sigma Approach: A Case Study in Oil and Gas Company
Author(s) -
Dedi Wilantara,
Nur Budi Mulyono,
Doni Winarso
Publication year - 2022
Publication title -
international journal on advanced science, engineering and information technology/international journal of advanced science, engineering and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 22
eISSN - 2460-6952
pISSN - 2088-5334
DOI - 10.18517/ijaseit.12.4.12845
Subject(s) - workover , petroleum industry , profit (economics) , artificial neural network , fossil fuel , diversification (marketing strategy) , engineering , computer science , operations management , operations research , business , petroleum engineering , artificial intelligence , marketing , economics , waste management , environmental engineering , microeconomics

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