Abstract
The amount of data being generated by the geothermal industry is increasing exponentially. Advanced tools, higher resolution sensors, and digitally integrated equipment are providing valuable insight into geothermal exploration and operational efficiencies, but the volumes of data they generate and the unique properties of Enhanced Geothermal System (EGS) projects are creating challenges of their own. This paper explores those challenges and the steps the U.S. Department of Energy (DOE) is taking to address them through comprehensive data management strategies, improvements to DOE's Geothermal Data Repository (GDR), and the development of a secure data collaboration tool for DOE's Frontier Observatory for Research in Geothermal Energy (FORGE) and EGS Collab projects.
Original language | American English |
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Number of pages | 8 |
State | Published - 2019 |
Event | 44th Workshop on Geothermal Reservoir Engineering - Stanford, California Duration: 11 Feb 2019 → 13 Feb 2019 |
Conference
Conference | 44th Workshop on Geothermal Reservoir Engineering |
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City | Stanford, California |
Period | 11/02/19 → 13/02/19 |
NREL Publication Number
- NREL/CP-6A20-73235
Keywords
- AWS
- cloud
- collaboration
- data
- EGS Collab
- ES Net
- GDR
- geothermal
- Globus
- OpenEI
- security
- sensors
- Snowball
- SURF