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Prediction of the equivalent circulation density using mach..:
Abdelrahman Kandil
;
Samir Khaled
;
Taher Elfakharany
https://www.aimspress.com/article/doi/10.3934/energy.2023023?viewType=HTML. , 2023
Link:
https://doi.org/10.3934/energy.2023023
RT Journal T1 <Title>Prediction of the equivalent circulation density using machine learning algorithms based on real-time data</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:6281fcd5c54245d68759ec08aa6363fa&Exemplar=1&LAN=DE A1 Abdelrahman Kandil A1 Samir Khaled A1 Taher Elfakharany PB AIMS Press YR 2023 K1 equivalent circulation density (ecd) K1 artificial intelligence (ai) K1 drilling wells K1 artificial neural networks (ann) K1 real-time data K1 Production of electric energy or power. Powerplants. Central stations K1 TK1001-1841 K1 Renewable energy sources K1 TJ807-830 JF https://www.aimspress.com/article/doi/10.3934/energy.2023023?viewType=HTML LK http://dx.doi.org/https://doi.org/10.3934/energy.2023023 DO https://doi.org/10.3934/energy.2023023 SF ELIB - SuUB Bremen
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