Date/Time: Tuesday, August 30, 2022 - 10:00 AM – 12:00 PM
Track: Technical Program
Room: Tuscany 9
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Description:

• 10:00 AM - 10:20 AM, 51: Rapid Rock Type Categorization at Utah FORGE from Sonic Logs using K-Means Clustering
• 10:20 AM - 10:40 AM, 103: Machine learning and a process model to better characterize hidden geothermal resources
• 10:40 AM - 11:00 AM, 110: Predicting Bottomhole Circulating Temperature while Drilling High Enthalpy Geothermal Wells Using Machine Learning Models
• 11:00 AM - 11:20 AM, 125: Deep temperature estimation applying a Bayesian inference algorithm to resistivity distribution in the Berlin geothermal field, El Salvador
• 11:20 AM - 11:40 AM, 179: Physics-Guided Deep Learning for Prediction of Energy Production from Geothermal Reservoirs
• 11:40 AM - 12:00 PM, 192: A Multiscale Neural Network Model for Long-Term Prediction of Geothermal Energy Production