Production optimization under waterflooding with long short-term memory and metaheuristic algorithm

Production optimization under waterflooding with long short-term memory and metaheuristic algorithm

In petroleum domain, optimizing hydrocarbon production is essential because it does not only ensure the economic prospects of the petroleum companies, but also fulfills the increasing global demand of energy. However, applying numerical reservoir simulation (NRS) to optimize production can induce hi...

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Bibliographic Details
Main Authors: Cuthbert Shang Wui Ng, Ashkan Jahanbani Ghahfarokhi, Menad Nait Amar
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-03-01
Series:Petroleum
Subjects:
Production optimization
Numerical reservoir simulation
Machine learning
Long short-term memory (LSTM)
Dynamic proxies
Particle swarm optimization (PSO)
Online Access:http://www.sciencedirect.com/science/article/pii/S2405656121001048

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http://www.sciencedirect.com/science/article/pii/S2405656121001048

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