DOE OSTI · 2571743
FlowDash Geothermal Energy Enhancer: Where is Next Geothermal Resource? Machine Learning + Multiple Datasets => Geothermal Exploration Indication?
Abstract
This is the presentation delivered at the 2025 GEODE Datathon competition. GEODE is a consortium of experts that addresses technology and knowledge gaps in geothermal energy, leveraging technology and best practices from the oil and gas industry. NETL team was awarded the 1st place in the engineering track. 2025 GEODE Datathon had a total of 42 teams from top universities and several major industrial companies. This awarded work is founded on a robust idea and innovative approach that uses machine learning coupled to multiple datasets to visualize geothermal “sweet” spots/indications in Great Basin based on the data provided from the GEODE Datathon. The use case also leveraged other datasets and demonstrated insightful and valuable indications for geothermal exploration.
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Kumar, Abhash [NETL Site Support Contractor, National Energy Technology Laboratory], Liu, Guoxiang [NETL] (ORCID:0000000279097313), Nguyen, Jeffrey [Oak Ridge Institute for Science and Education (ORISE)], Xing, Pengju [University of Utah], Qawasmeh, Saif [Oak Ridge Institute for Science and Education (ORISE)]. 2025-06-06. FlowDash Geothermal Energy Enhancer: Where is Next Geothermal Resource? Machine Learning + Multiple Datasets => Geothermal Exploration Indication?. https://doi.org/10.2172/2571743
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