Related Datasets

Utah FORGE 6-3629: Machine Learning and Seismology for Real-Time Decision-Making in Stimulation - 2026 Workshop Presentation

Publicly accessible License

This is a presentation on Machine Learning and Seismology for Real-Time Decision-Making in Stimulation by the University of Utah, presented by Dr. No'am Dvory. The project is developing real-time seismic monitoring, machine-learning, and geomechanical risk assessment tools to support decision-making during geothermal stimulation operations at Utah FORGE. This presentation was featured at the Utah FORGE R&D Annual Workshop, held September 30-October 1, 2026. The workshop offered a valuable opportunity to review the progress of Research and Development projects funded under Solicitation 2022-2, which aim to improve our understanding of the key factors influencing Enhanced Geothermal System (EGS) reservoir and resource development.

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Citation Formats

TY  - DATA
AB  - This is a presentation on Machine Learning and Seismology for Real-Time Decision-Making in Stimulation by the University of Utah, presented by Dr. No'am Dvory. The project is developing real-time seismic monitoring, machine-learning, and geomechanical risk assessment tools to support decision-making during geothermal stimulation operations at Utah FORGE. This presentation was featured at the Utah FORGE R&D Annual Workshop, held September 30-October 1, 2026. The workshop offered a valuable opportunity to review the progress of Research and Development projects funded under Solicitation 2022-2, which aim to improve our understanding of the key factors influencing Enhanced Geothermal System (EGS) reservoir and resource development.
AU  - Dvory, No'am
DB  - Open Energy Data Initiative (OEDI)
DP  - Open EI | National Laboratory of the Rockies
DO  - 
KW  - geothermal
KW  - energy
KW  - Utah FORGE
KW  - EGS
KW  - Machine Learning
KW  - Seismology
KW  - Seismic Monitoring
KW  - Real-Time
KW  - 2026 Annual Workshop
KW  - reservoir development
KW  - machine-learning
KW  - geomechanics
KW  - risk assessment
KW  - decision-making
KW  - decision support
KW  - traffic light
KW  - fault characterization
KW  - presentation
KW  - report
KW  - induced seismicity
KW  - geothermal reservoir management
LA  - English
DA  - 2026/09/30
PY  - 2026
PB  - University Of Utah
T1  - Utah FORGE 6-3629: Machine Learning and Seismology for Real-Time Decision-Making in Stimulation - 2026 Workshop Presentation
UR  - https://data.openei.org/submissions/10245
ER  -

Export Citation to RIS

Dvory, No'am. Utah FORGE 6-3629: Machine Learning and Seismology for Real-Time Decision-Making in Stimulation - 2026 Workshop Presentation. University Of Utah, 30 September, 2026, GDR. https://gdr.openei.org/submissions/1884.

Dvory, N. (2026). Utah FORGE 6-3629: Machine Learning and Seismology for Real-Time Decision-Making in Stimulation - 2026 Workshop Presentation. [Data set]. GDR. University Of Utah. https://gdr.openei.org/submissions/1884

Dvory, No'am. Utah FORGE 6-3629: Machine Learning and Seismology for Real-Time Decision-Making in Stimulation - 2026 Workshop Presentation. University Of Utah, September, 30, 2026.  Distributed by GDR. https://gdr.openei.org/submissions/1884

@misc{OEDI_Dataset_10245,
title = {Utah FORGE 6-3629: Machine Learning and Seismology for Real-Time Decision-Making in Stimulation - 2026 Workshop Presentation},
author = {Dvory, No'am},
abstractNote = {This is a presentation on Machine Learning and Seismology for Real-Time Decision-Making in Stimulation by the University of Utah, presented by Dr. No'am Dvory. The project is developing real-time seismic monitoring, machine-learning, and geomechanical risk assessment tools to support decision-making during geothermal stimulation operations at Utah FORGE. This presentation was featured at the Utah FORGE R\&D Annual Workshop, held September 30-October 1, 2026. The workshop offered a valuable opportunity to review the progress of Research and Development projects funded under Solicitation 2022-2, which aim to improve our understanding of the key factors influencing Enhanced Geothermal System (EGS) reservoir and resource development.},
url = {https://gdr.openei.org/submissions/1884},
year = {2026},
howpublished = {GDR, University Of Utah, https://gdr.openei.org/submissions/1884},
note = {Accessed: 2026-10-23}
}

Details

Data from Sep 30, 2026

Last updated Oct 24, 2026

Submitted Oct 20, 2026

Organization

University Of Utah

Contact

No'am Dvory

Authors

No'am Dvory

University Of Utah

Original Source

https://gdr.openei.org/submissions/1884

Research Areas

Geothermal Energy

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080