Science & Technology
Developing and Applying Deep Learning Time-Frequency Denoising Tools to DAS Data to Enhance Passive Seismic Signals for Seismic Hazard Analysis and Reservoir Characterization
Department of Energy
Opportunity #: DE-SC0022733
Award Ceiling
$1.6M
Award Floor
$1.6M
Close Date
Aug 20, 2025
Total Funding
$1.6M
Expected Awards
1
Posted Date
Aug 21, 2023
Cost Sharing Required
No
Grants.gov ID
sbir-DE-SC0022733
Description
SBIR Phase Phase II award: "Developing and Applying Deep Learning Time-Frequency Denoising Tools to DAS Data to Enhance Passive Seismic Signals for Seismic Hazard Analysis and Reservoir Characterization" awarded to Zanskar Geothermal & Minerals, Inc. in Provo, Utah. Funded by Department of Energy. Award amount: $1,614,946. The SBIR/STTR programs fund innovative research and development by small businesses, with Phase I for feasibility studies and Phase II for full R&D.
Eligible Applicants
Small businesses
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