A Novel Methodology for Predicting the Production of Horizontal CSS Wells in Offshore Heavy Oil Reservoirs Using Particle Swarm Optimized Neural Network

A Novel Methodology for Predicting the Production of Horizontal CSS Wells in Offshore Heavy Oil Reservoirs Using Particle Swarm Optimized Neural Network

Cyclic steam stimulation (CSS) is one of the main offshore heavy oil recovery methods used. Predicting the production of horizontal CSS wells is significant for developing offshore heavy oil reservoirs. Currently, the existing reservoir numerical simulation and analytical models are the two major me...

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Bibliographic Details
Main Authors: Lijun Zhang, Haojun Xie, Zehua Fan, Yuting Bai, Jinpeng Hu, Chengkai Wang, Xiaofei Sun
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
offshore heavy oil reservoirs
cyclic steam stimulation
particle swarm optimization algorithm
long short-term memory model
cumulative oil production
Online Access:https://www.mdpi.com/2076-3417/13/4/2540

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https://www.mdpi.com/2076-3417/13/4/2540

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