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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Vydáno v:	Petroleum exploration and development Ročník 47; číslo 2; s. 383 - 392
Hlavní autoři:	NEGASH, Berihun Mamo, YAW, Atta Dennis
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.04.2020 KeAi Communications Co., Ltd
Témata:	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
On-line přístup:	Získat plný text
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