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Self adaptive learning scheme for Fault prognosis in oil wells and production & service lines
Author(s) -
Aymen Harrouz,
Houari Toubakh,
Mohamed Redouane Kafi,
Moamar SayedMouchaweh,
Hajer Salem
Publication year - 2022
Publication title -
proceedings of the annual conference of the prognostics and health management society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.18
H-Index - 11
ISSN - 2325-0178
DOI - 10.36001/phmconf.2022.v14i1.3227
Subject(s) - fault (geology) , scheme (mathematics) , drilling , production (economics) , fossil fuel , closure (psychology) , spurious relationship , computer science , petroleum engineering , service (business) , oil well , reliability engineering , engineering , geology , machine learning , seismology , mechanical engineering , market economy , mathematical analysis , mathematics , economy , economics , macroeconomics , waste management

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