Machine learning for recovery factor estimation of an oil reservoir: A tool for derisking at a hydrocarbon asset evaluation

Machine learning for recovery factor estimation of an oil reservoir: A tool for derisking at a hydrocarbon asset evaluation

Well-known oil recovery factor estimation techniques such as analogy, volumetric calculations, material balance, decline curve analysis, hydrodynamic simulations have certain limitations. Those techniques are time-consuming, and require specific data and expert knowledge. Besides, though uncertainty...

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Bibliographic Details
Main Authors: Ivan Makhotin, Denis Orlov, Dmitry Koroteev, Evgeny Burnaev, Aram Karapetyan, Dmitry Antonenko
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-06-01
Series:Petroleum
Subjects:
Oil recovery factor
Machine learning
Regression
Uncertainty estimation
Conformal predictors
Clustering
Online Access:http://www.sciencedirect.com/science/article/pii/S2405656121000870

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http://www.sciencedirect.com/science/article/pii/S2405656121000870

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