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A Hybrid Neural Network Model for Predicting Bottomhole Pressure in Managed Pressure Drilling
发布时间:2023-01-06
摘要:Featured Application
关键字:bottomhole pressure; temporal properties; hybrid neural networks
ISSN号:2076-3417
卷、期、页:卷: 12期: 13
发表日期:2022-07-01
影响因子:2.679000
期刊分区(SCI为中科院分区):三区
收录情况:SCIE(科学引文索引网络版)
发表期刊名称:APPLIED SCIENCES-BASEL
通讯作者:张瑞,胡晓丽,胡晓丽,李大钰,杨东晗,秦芙蓉
第一作者:祝兆鹏,宋先知,李根生
论文类型:期刊论文
论文概要:祝兆鹏,宋先知,张瑞,李根生,胡晓丽,胡晓丽,李大钰,杨东晗,秦芙蓉,A Hybrid Neural Network Model for Predicting Bottomhole Pressure in Managed Pressure Drilling,APPLIED SCIENCES-BASEL,2022,卷: 12期: 13
论文题目:A Hybrid Neural Network Model for Predicting Bottomhole Pressure in Managed Pressure Drilling
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