AnnRG - An artificial neural network solute geothermometer

AnnRG - An artificial neural network solute geothermometer

Solute artificial neural network geothermometers offer the possibility to overcome the complexity given by the solute-mineral composition. Herein, we present a new concept, trained from high-quality hydrochemical data and verified by in-situ temperature measurements with a total of 208 data pairs of...

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Bibliographic Details
Main Authors: Lars H. Ystroem, Mark Vollmer, Thomas Kohl, Fabian Nitschke
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Applied Computing and Geosciences
Subjects:
AnnRG
Machine learning
Artificial neural network
Solute geothermometry
Geochemical exploration
Reservoir temperature prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197423000332

Internet

http://www.sciencedirect.com/science/article/pii/S2590197423000332

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