Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2025 Workshop Presentation
This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented by Dr. No'am Zach Dvory. This video slide presentation, by the University of Utah, discussed the technical objectives of developing a real-time decision-making platform to enhance seismic monitoring and risk management during stimulation activities. This presentation was featured at the Utah FORGE R&D Annual Workshop on September 9, 2025. 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.
Citation Formats
TY - DATA
AB - This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented by Dr. No'am Zach Dvory. This video slide presentation, by the University of Utah, discussed the technical objectives of developing a real-time decision-making platform to enhance seismic monitoring and risk management during stimulation activities. This presentation was featured at the Utah FORGE R&D Annual Workshop on September 9, 2025. 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 Renewable Energy Laboratory
DO -
KW - geothermal
KW - energy
KW - Utah FORGE
KW - EGS
KW - 2025 Annual Workshop
KW - real-time decision making
KW - machine learning
KW - seismic monitoring
KW - stimulation risk management
KW - geomechanics
KW - seismology
KW - presentation
KW - presentation recording
KW - presentation slides
KW - report
LA - English
DA - 2025/09/18
PY - 2025
PB - University of Utah
T1 - Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2025 Workshop Presentation
UR - https://data.openei.org/submissions/8528
ER -
Dvory, No'am. Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2025 Workshop Presentation. University of Utah, 18 September, 2025, GDR. https://gdr.openei.org/submissions/1784.
Dvory, N. (2025). Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2025 Workshop Presentation. [Data set]. GDR. University of Utah. https://gdr.openei.org/submissions/1784
Dvory, No'am. Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2025 Workshop Presentation. University of Utah, September, 18, 2025. Distributed by GDR. https://gdr.openei.org/submissions/1784
@misc{OEDI_Dataset_8528,
title = {Utah FORGE 6-3629: Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation - 2025 Workshop Presentation},
author = {Dvory, No'am},
abstractNote = {This is a presentation on the Cutting Edge Application of Machine Learning, Geomechanics, and Seismology for Real-Time Decision Making Tools During Stimulation by the University of Utah, presented by Dr. No'am Zach Dvory. This video slide presentation, by the University of Utah, discussed the technical objectives of developing a real-time decision-making platform to enhance seismic monitoring and risk management during stimulation activities. This presentation was featured at the Utah FORGE R\&D Annual Workshop on September 9, 2025. 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/1784},
year = {2025},
howpublished = {GDR, University of Utah, https://gdr.openei.org/submissions/1784},
note = {Accessed: 2025-11-24}
}
Details
Data from Sep 18, 2025
Last updated Sep 21, 2025
Submitted Sep 18, 2025
Organization
University of Utah
Contact
No'am Dvory
Authors
Original Source
https://gdr.openei.org/submissions/1784Research Areas
Keywords
geothermal, energy, Utah FORGE, EGS, 2025 Annual Workshop, real-time decision making, machine learning, seismic monitoring, stimulation risk management, geomechanics, seismology, presentation, presentation recording, presentation slides, reportDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080
