Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset

Polymer flooding is a prominent enhanced oil recovery process that is widely recognized for its cost-effectiveness and substantial success in increasing oil production. In this study, the Buckley–Leverett mathematical model for polymer flooding was used to generate more than 163,000 samples that ref...

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Bibliografski detalji

Glavni autori:	Timur Imankulov, Yerzhan Kenzhebek, Samson Dawit Bekele, Erlan Makhmut
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-07-01
Serija:	Energies
Teme:	enhanced oil recovery artificial neural network polymer flooding oil recovery factor machine learning
Online pristup:	https://www.mdpi.com/1996-1073/17/14/3397
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