Session 4E: Oil & Gas: Applications and Value for Geothermal/Machine Learning in Geothermal Development

Oil & Gas: Applications and Value for Geothermal

Repurposing inactive wells into geothermal is a valuable proposition in the energy transition. This session will invite papers focused on repurposing oil and gas wells into either direct geothermal use or electricity. Additional focus will be on tecno-economical and operational aspects of repurposing technology. We will explore learnings that have helped the development of O&G, in particular unconventionals, rom fiber optics to automated data ingestion and processes. Field cases will be presented as an example of how they can help on the benefit of Geothermal (EGS) development.

Machine Learning in Geothermal Development

Machine learning is becoming more advanced and useful for various industries. This session highlights recent improvements and applications of ML for the geothermal industry.

  • 4:30 PM - 4:50 PM: Techno-economic Investigation of Geothermal Development in Sedimentary Basins | Orkhan Khankishiyev 
  • 4:50 PM - 5:10 PM: An inverse model for estimating unknown fracture aperture distributions using thermal breakthrough and tracers | Reeby Puthur 
  • 5:10 PM - 5:30 PM: GeoThermalCloud for EGS – An open-source, user-friendly, scalable AI workflow for modeling enhanced geothermal systems | Maruti Mudunuru 
  • 5:30 PM - 5:50 PM: Connecting People to Data: Enabling Data Connected Communities through Enhancements to the Geothermal Data Repository | Jon Weers 
  • 5:50 PM - 6:10 PM: An Assessment Of The Red River Formation As A Geothermal Hotspot In North Dakota: A MachineLearning Approach | Emmanuel Gyimah 
  • 6:10 PM - 6:30 PM: An Update on the Geothermal Data Repository's Data Standards and Pipelines: Geospatial Data and Distributed Acoustic Sensing Data | Nicole Taverna