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

被引：9
|
作者：
Zhu, Zhaopeng [1 ]
Song, Xianzhi [1 ,2 ]
Zhang, Rui [1 ]
Li, Gensheng [1 ,2 ]
Han, Liang [1 ]
Hu, Xiaoli [1 ]
Li, Dayu [1 ]
Yang, Donghan [1 ]
Qin, Furong [1 ]
机构：
[1] China Univ Petr, Sch Petr Engn, Beijing 102249, Peoples R China
[2] China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
来源：
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 13期
基金：
美国国家科学基金会;
关键词：
bottomhole pressure; temporal properties; hybrid neural networks; 2-PHASE FLOW; MECHANISTIC MODEL; MACHINE;
D O I：
10.3390/app12136728
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
Featured Application
引用
收藏
页数：13
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