CX-101537: Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties

Award Number: DE-EE0008763
CX(s) Applied: A9, B3.6
Geothermal Technologies Office
Location(s): PA
Office(s): Golden Field Office

The U.S. Department of Energy (DOE) is proposing to provide federal funding to the Pennsylvania State University (PSU) to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to advance geothermal exploration and safe geothermal energy production. ML approaches would be developed and tested using large datasets of induced seismicity associated with geothermal field sites in addition to data collected from in-lab experiments. This NEPA Determination is for Budget Period 1 activities only. Additional NEPA review will be required if the recipient is selected to move forward into Budget Period 2.