A stacking ensemble approach for pore pressure prediction in real-time during drilling based on mud log data

The precise and real-time prediction of pore pressure is critical for optimizing drilling efficiency and mitigating the potential risks associated with drilling operations. In order to surmount the limitations of empirical methods and to reduce reliance on logging-while-drilling data, this study pro...

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Veröffentlicht in:	Petroleum science
Hauptverfasser:	Zhang, Dong-Yang, Ma, Tian-Shou, Liu, Yang, Zhang, De-Cheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2025
Schlagworte:	Machine learning Mud log Pore pressure Real-time Stacking ensemble approach Stacking ensemble approach Mud log Pore pressure Real-time Machine learning
ISSN:	1995-8226
Online-Zugang:	Volltext
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