Deep learning applications for drilling performance: forecasting, diagnostics, telemetry, and predictive maintenance
Auteur :
Urdaneta, Carlos / Shah, Aamir Bader / Wu, Xuqing / Fu, Xin / Chen, Jiefu
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783032266477
Date de publication :
20 mai 2026
Dimensions :
25,4 x 17,8 cm
Langue :
Anglais
Pays d'origine :
Suisse
mso-fareast-language: DE;">This book presents data driven approaches to improve drilling performance in geothermal, coiled tubing, and conventional operations. This book also details synthetic data driven models combined with physics-based degradation approaches to forecast the remaining useful life of drilling equipment.