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A Hybrid Neural Network Model for Predicting Bottomhole Pressure in Managed Pressure Drilling

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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