Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty

We consider the application of machine learning to the evaluation of geothermal resource potential. A supervised learning problem is defined where maps of 10 geological and geophysical features within the state of Nevada, USA are used to define geothermal potential across a broad region. We have ava...

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Bibliographische Detailangaben

Hauptverfasser:	Brown, Stephen, Rodi, William L, Seracini, Marco, Gu, Chen, Fehler, Michael, Faulds, James, Smith, Connor M, Treitel, Sven
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Physics - Geophysics
Online-Zugang:	Volltext bestellen
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