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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions

Jun 19, 2023
2.3 MB
Publicly accessible
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...
Authors
Kelley, M. et al Battelle Memorial Institute
geothermalenergymachine learningin-situ stressstress characterizationutah forgegeophysicsseismictriaxialstress predictionartificial neural networkmodelfeed forward artificial neural network