Data-Driven Proxy Model for Forecasting of Cumulative Oil Production during the Steam-Assisted Gravity Drainage Process

[Image: see text] The purpose of this study is to develop a data-driven proxy model for forecasting of cumulative oil (Cum-oil) production during the steam-assisted gravity drainage process. During the model building process, an artificial neural network (ANN) is used to offer a complementary and co...

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Detalles Bibliográficos
Autores principales: Yu, Yang, Liu, Shangqi, Liu, Yang, Bao, Yu, Zhang, Lixia, Dong, Yintao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153974/
https://www.ncbi.nlm.nih.gov/pubmed/34056305
http://dx.doi.org/10.1021/acsomega.1c00617

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153974/
https://www.ncbi.nlm.nih.gov/pubmed/34056305
http://dx.doi.org/10.1021/acsomega.1c00617

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