Using data analytics to quantify the impact of production test uncertainty on oil flow rate forecast
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles, 75 (2020) 7
Publié en ligne : 2020-01-27
Article cité par
La fonctionnalité Article cité par… liste les citations d'un article. Ces citations proviennent de la base de données des articles de EDP Sciences, ainsi que des bases de données d'autres éditeurs participant au programme CrossRef Cited-by Linking Program. Vous pouvez définir une alerte courriel pour être prévenu de la parution d'un nouvel article citant " cet article (voir sur la page du résumé de l'article le menu à droite).
Article cité :
Citations de cet article :
281 (2024)
https://doi.org/10.1016/B978-0-443-24010-2.00007-X
Probabilistic forecasting of cumulative production of reservoir fluid with uncertain properties
Lívia Paiva Fulchignoni, Christiano Garcia da Silva Santim and Daniel M. TartakovskyGeoenergy Science and Engineering 227 211819 (2023)
https://doi.org/10.1016/j.geoen.2023.211819
Deep Learning Approach of Drilling Decision for Subhorizontal Drain Geosteering Based on APC-LSTM Model
Dandan Zhu, Xinping Dai, Yi Liu, Fei Wang, Xiaoting Luo, Dong Chen and Zhihui YeSPE Drilling & Completion 38 (01) 1 (2023)
https://doi.org/10.2118/210605-PA
Review of Applicable Outlier Detection Methods to Treat Geomechanical Data
Behzad Dastjerdy, Ali Saeidi and Shahriyar HeidarzadehGeotechnics 3 (2) 375 (2023)
https://doi.org/10.3390/geotechnics3020022
A Physics-Informed Neural Networks (PINN) oriented approach to flow metering in oil wells: an ESP lifted oil well system as a case study
Taniel S. Franklin, Leonardo S. Souza, Raony M. Fontes and Márcio A.F. MartinsDigital Chemical Engineering 5 100056 (2022)
https://doi.org/10.1016/j.dche.2022.100056
Short-Term Production Optimization Under Water-Cut Uncertainty
Gabriela Chaves, Danielle Monteiro, Maria Clara Duque, et al.SPE Journal 26 (05) 3054 (2021)
https://doi.org/10.2118/204223-PA
Cyber-Physical Systems: Design and Application for Industry 4.0
Artur Sagdatullin and Gennady DegtyarevStudies in Systems, Decision and Control, Cyber-Physical Systems: Design and Application for Industry 4.0 342 145 (2021)
https://doi.org/10.1007/978-3-030-66081-9_11
Improving tail accuracy of the predicted cumulative distribution function of time of failure
Gina Sierra, Elinirina I. Robinson and Kai GoebelReliability Engineering & System Safety 207 107333 (2021)
https://doi.org/10.1016/j.ress.2020.107333
Optimized Random Vector Functional Link network to predict oil production from Tahe oil field in China
Ahmed Alalimi, Lin Pan, Mohammed A.A. Al-qaness, et al.Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 76 3 (2021)
https://doi.org/10.2516/ogst/2020081