Inicio  /  Applied Sciences  /  Vol: 12 Par: 13 (2022)  /  Artículo
ARTÍCULO
TITULO

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

Zhaopeng Zhu    
Xianzhi Song    
Rui Zhang    
Gensheng Li    
Liang Han    
Xiaoli Hu    
Dayu Li    
Donghan Yang and Furong Qin    

Resumen

This article highlights the feasibility and advantages of using hybrid optimization network models to predict bottomhole pressure under managed pressure drilling.

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