Artificial neural network based production forecasting for a hydrocarbon reservoir under water injection

As the conventional prediction methods for production of waterflooding reservoirs have some drawbacks, a production forecasting model based on artificial neural network was proposed, the simulation process by this method was presented, and some examples were illustrated. A workflow that involves a p...

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Veröffentlicht in:	Petroleum exploration and development Jg. 47; H. 2; S. 383 - 392
Hauptverfasser:	NEGASH, Berihun Mamo, YAW, Atta Dennis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.04.2020 KeAi Communications Co., Ltd
Schlagworte:	attribute extraction Bayesian regularization algorithm machine learning neural networks production forecasting water flooding production forecasting water flooding machine learning attribute extraction Bayesian regularization algorithm neural networks
ISSN:	1876-3804, 1876-3804
Online-Zugang:	Volltext
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