Comparison of processing speed of NRS-ANN hybrid and ANN models for oil production rate estimation of reservoir under waterflooding

This study compared the predictive performance and processing speed of an artificial neural network (ANN) and a hybrid of a numerical reservoir simulation (NRS) and artificial neural network (NRS-ANN) models in estimating the oil production rate of the ZH86 reservoir block under waterflood recovery....

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Bibliographic Details
Main Authors: Paul Theophily Nsulangi, Werneld Egno Ngongi, John Mbogo Kafuku, Guan Zhen Liang
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-12-01
Series:Artificial Intelligence in Geosciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666544125000358
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