Optimal Well Control Based on Auto-Adaptive Decision Tree—Maximizing Energy Efficiency in High-Nitrogen Underground Gas Storage

To move the world toward a more sustainable energy future, it is crucial to use the limited hydrocarbon geological resources efficiently and to develop technologies that facilitate this. More rational management of petroleum reservoirs and underground gas storage can be obtained by optimizing well c...

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Bibliografski detalji

Glavni autori:	Edyta Kuk, Jerzy Stopa, Michał Kuk, Damian Janiga, Paweł Wojnarowski
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-05-01
Serija:	Energies
Teme:	optimal control auto-adaptive decision tree artificial intelligence machine learning sequential model-based algorithm configuration
Online pristup:	https://www.mdpi.com/1996-1073/15/9/3413
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