Innovative machine learning for drilling fluid density prediction: a novel central force search-adaptive XGBoost in HPHT environments

Oil and gas industries are facing a special dilemma when it comes to high-pressure, high-temperature (HPHT) drilling as the accurate forecasting of the drilling fluid density (DFD) is a vital factor for safe and efficient operations. Complicated relationships and inconsistencies in HPHT situations a...

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Bibliographic Details

Published in:	Frontiers in Energy Research
Main Authors:	G. Shanmugasundar, R. Manjunatha, Robert Cep, K. Logesh, Vikas Kaushik, S. Srinadh Raju, Muniyandy Elangovan
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-11-01
Subjects:	drilling oil and gas sector fluid density machine learning high
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2024.1411751/full