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A Machine Learning Approach for Stress Prediction in Granitoid Formation at FORGE Geothermal Site Using Compressional and Shear-wave Slowness

Mustafa, Ayyaz; Kelley, Mark; Lu, Guanyi; Bunger, Andrew P.

Key words
Machine Learning, Geothermal Reservoirs, Utah FORGE, In-situ Stresses, Adaptive Neuro- Fuzzy Inference System, Artificial Neural Networks, Functional Networks, Predictive Modelling
Location
Utah
Conference
Geothermal Resources Council Transactions
Year
2023
Session
Exploration; Reservoir modeling; Machine learning; FORGE
Language
English

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