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1 Ergebnisse
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Towards drilling rate of penetration prediction: Bayesian n..:
Bizhani, Majid
;
Kuru, Ergun
Journal of Petroleum Science and Engineering. 219 (2022) - p. 111068 , 2022
Link:
https://doi.org/10.1016/j.petrol.2022.111068
RT Journal T1 <Title>Towards drilling rate of penetration prediction: Bayesian neural networks for uncertainty quantification</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.petrol.2022.111068&Exemplar=1&LAN=DE A1 Bizhani, Majid A1 Kuru, Ergun PB Elsevier BV YR 2022 SN 0920-4105 JF Journal of Petroleum Science and Engineering VO 219 SP 111068 LK http://dx.doi.org/https://doi.org/10.1016/j.petrol.2022.111068 DO https://doi.org/10.1016/j.petrol.2022.111068 SF ELIB - SuUB Bremen
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