Predicting dissolved lithium in geothermal fluids from routine hydrogeochemistry: a machine learning framework with calibrated uncertainty quantification
Research area: AI for Geoscience & Energy.
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Research area: AI for Geoscience & Energy.
Research area: AI for Geoscience & Energy.
Research area: AI for Geoscience & Energy, Reinforcement Learning & Autonomous Systems.
Research area: AI for Geoscience & Energy.
Research area: AI for Geoscience & Energy.
Research area: AI for Geoscience & Energy.
Uses hydrogeochemical variables and a deep neural network to predict boron contamination originating from geothermal systems in Western Anatolia, and uses the model to discuss …
Research area: AI for Geoscience & Energy.
A deep neural network forecasts geothermal reservoir temperatures from routine water-chemistry data, offering a way to reduce exploration risk and cost before drilling.
Research area: AI for Geoscience & Energy.