Fast Optimization of Injector Selection for Waterflood, CO<sub>2</sub>-EOR and Storage Using an Innovative Machine Learning Framework

Fast Optimization of Injector Selection for Waterflood, CO<sub>2</sub>-EOR and Storage Using an Innovative Machine Learning Framework

Optimal injector selection is a key oilfield development endeavor that can be computationally costly. Methods proposed in the literature to reduce the number of function evaluations are often designed for pattern level analysis and do not scale easily to full field analysis. These methods are rarely...

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Autores principales: Anand Selveindran, Zeinab Zargar, Seyed Mahdi Razavi, Ganesh Thakur
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
injection optimization
waterflooding
CO<sub>2</sub> EOR
CO<sub>2</sub> storage
machine learning
proxy modelling
Technology
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Acceso en línea:https://doaj.org/article/4dc48245a16b45718cc048a38c2bb1b3
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