CNN-LSTM Model Optimized by Bayesian Optimization for Predicting Single-Well Production in Water Flooding Reservoir

CNN-LSTM Model Optimized by Bayesian Optimization for Predicting Single-Well Production in Water Flooding Reservoir

Geared toward the problems of predicting the unsteadily changing single oil well production in water flooding reservoir, a machine learning model based on CNN (convolutional neural network) and LSTM (long short-term memory) is established which realizes precise predictions of monthly single-well pro...

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Bibliographic Details
Main Authors: Lei Zhang, Hongen Dou, Kun Zhang, Ruijie Huang, Xia Lin, Shuhong Wu, Rui Zhang, Chenjun Zhang, Shaojing Zheng
Format: Article
Language:English
Published: Hindawi-Wiley 2023-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2023/5467956

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http://dx.doi.org/10.1155/2023/5467956

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