Department of Energy’s (DOE) Office of Energy Efficiency and Renewable Energy (EERE), invites input from the public regarding opportunities associated with applying machine learning techniques toward challenges in the geosciences that are relevant to geothermal energy. With the overall goals of establishing the practice of machine learning (ML) in the geothermal industry and maximizing the value of the rich datasets utilized in the geosciences, GTO is seeking input in three areas: Identifying the most promising applications of machine learning in subsurface R&D, building open community datasets capable of supporting the most advanced ML techniques, and leveraging crowd-sourced R&D through alternative funding mechanisms. As ML is already well- established in some industries, GTO is also very interested in feedback from outside of the geothermal community. The information requested is intended to advance GTO goals in geothermal development, though there are likely crosscutting applications with other industries operating in the subsurface. Opportunities for partnerships with other industries are also of interest. The purpose of this Request for Information (RFI) is to gather feedback from stakeholders prior to DOE potentially issuing a Funding Opportunity Announcement (FOA).
This RFI is not a FOA: therefore, DOE is not accepting
applications at this time. All responses to this RFI must be provided as an attachment (in Microsoft Word format) to an e-mail message addressed to machinelearninggeo@ee.doe.gov. Responses must be received no later than 5:00 PM EDT on June 6, 2018. The full content of the announcement can be found on the EERE Exchange website at https://eere-exchange.energy.gov.