CX-101522: Toward Drilling the Perfect Geothermal Well: An International Research Coordination Network for Geothermal Drilling Optimization Supported by Deep Machine Learning and Cloud Based Data Aggregation

Award Number: DE-EE0008793, CX(s) Applied: A9, A11, Geothermal Technologies Office, Location(s): OR, Office(s): Golden Field Office

Office of NEPA Policy and Compliance

July 10, 2019

Award Number: DE-EE0008793
CX(s) Applied: A9, A11
Geothermal Technologies Office
Location(s): OR
Office(s): Golden Field Office

The U.S. Department of Energy (DOE) is proposing to provide federal funding to Oregon State University to undertake a data sciences approach to drilling optimization based on machine learning-aided expert systems in order to reduce the risk of well failure and the overall cost of geothermal energy, particularly for Enhanced Geothermal Systems (EGS).

CX-101522: Toward Drilling the Perfect Geothermal Well: An International Research Coordination Network for Geothermal Drilling Optimization Supported by Deep Machine Learning and Cloud Based Data Aggregation (226.66 KB)