Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)
Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy.
Objective and Purpose:
- Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS system:
i) Achieving sufficient injectivity to support high cross-well flow rates
ii) Distributing flow evenly across the wellbore and reservoir to maximize heat mining efficiency, ensure sustained heat transfer, and mitigate thermal breakthrough
iii) Overcoming the effects of stress heterogeneity, stress shadowing, and variations in natural fracture properties during the stimulation treatment, leading to a more predictable stimulated reservoir volume and offset well placement
- The following activities will be performed:
i) Design, plan, and execute a multistage plug-and-perf stimulation treatment at a Fervo site with data acquisition and well testing activities aimed at addressing key technical aspects of the issues above
ii) Perform data processing and interpretation of field results to translate the results form the Fervo site to a site-specific design at the Utah FORGE site
iii) Design, plan, and execute a multistage plug-and-perf stimulation treatment design at the Utah FORGE site
Methods and Approach:
- Design a detailed data acquisition plan to maximize learning around:
i) DFIT testing
ii) Petrophysical logging, image logging
iii) Permanent DAS/DTS fiber optic monitoring
iv) Deep borehole microseismic monitoring
v) Shallow borehole induced seismicity monitoring
vi) Injection/production testing (RTA analysis, tracer testing)
vii) Integrated numerical modeling and production forecasting
Citation Formats
TY - DATA
AB - Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy.
Objective and Purpose:
- Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS system:
i) Achieving sufficient injectivity to support high cross-well flow rates
ii) Distributing flow evenly across the wellbore and reservoir to maximize heat mining efficiency, ensure sustained heat transfer, and mitigate thermal breakthrough
iii) Overcoming the effects of stress heterogeneity, stress shadowing, and variations in natural fracture properties during the stimulation treatment, leading to a more predictable stimulated reservoir volume and offset well placement
- The following activities will be performed:
i) Design, plan, and execute a multistage plug-and-perf stimulation treatment at a Fervo site with data acquisition and well testing activities aimed at addressing key technical aspects of the issues above
ii) Perform data processing and interpretation of field results to translate the results form the Fervo site to a site-specific design at the Utah FORGE site
iii) Design, plan, and execute a multistage plug-and-perf stimulation treatment design at the Utah FORGE site
Methods and Approach:
- Design a detailed data acquisition plan to maximize learning around:
i) DFIT testing
ii) Petrophysical logging, image logging
iii) Permanent DAS/DTS fiber optic monitoring
iv) Deep borehole microseismic monitoring
v) Shallow borehole induced seismicity monitoring
vi) Injection/production testing (RTA analysis, tracer testing)
vii) Integrated numerical modeling and production forecasting
AU - Norbeck, Jack
A2 - Fercho, Steven
A3 - McConville, Emma
A4 - Titov, Aleksei
A5 - Agarwal, Saurabh
A6 - Dadi, Sireesh
A7 - Gradl, Christian
A8 - Baca, Hank
A9 - Eddy, Eric
A10 - Lang, Camden
A11 - Voller, Katherine
A12 - Latimer, Timothy
A13 - Hinz, Nick
A14 - Wallis, Irene
A15 - Woitt, Mark
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1989384
KW - geothermal
KW - energy
KW - Utah FORGE
KW - plug-and-perf stimulation
KW - well stimulation
KW - Fervo Energy
KW - plug-and-perf
KW - plug and perf
KW - Fervo
KW - technical
KW - assessment
KW - feasibility
KW - hydraulic
KW - stimulation
KW - injection test
KW - processed data
KW - Blue Mountain
KW - Nevada
KW - EGS
KW - Well 73-22
KW - Well 34A-22
KW - Well 34-22
KW - near-field EGS
KW - horizontal drilling
KW - proppant
KW - heat in place
KW - state of stress
KW - fiber optic sensing
LA - English
DA - 2023/02/08
PY - 2023
PB - Fervo Energy
T1 - Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)
UR - https://doi.org/10.15121/1989384
ER -
Norbeck, Jack, et al. Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy). Fervo Energy, 8 February, 2023, GDR. https://doi.org/10.15121/1989384.
Norbeck, J., Fercho, S., McConville, E., Titov, A., Agarwal, S., Dadi, S., Gradl, C., Baca, H., Eddy, E., Lang, C., Voller, K., Latimer, T., Hinz, N., Wallis, I., & Woitt, M. (2023). Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy). [Data set]. GDR. Fervo Energy. https://doi.org/10.15121/1989384
Norbeck, Jack, Steven Fercho, Emma McConville, Aleksei Titov, Saurabh Agarwal, Sireesh Dadi, Christian Gradl, Hank Baca, Eric Eddy, Camden Lang, Katherine Voller, Timothy Latimer, Nick Hinz, Irene Wallis, and Mark Woitt. Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy). Fervo Energy, February, 8, 2023. Distributed by GDR. https://doi.org/10.15121/1989384
@misc{OEDI_Dataset_7578,
title = {Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)},
author = {Norbeck, Jack and Fercho, Steven and McConville, Emma and Titov, Aleksei and Agarwal, Saurabh and Dadi, Sireesh and Gradl, Christian and Baca, Hank and Eddy, Eric and Lang, Camden and Voller, Katherine and Latimer, Timothy and Hinz, Nick and Wallis, Irene and Woitt, Mark},
abstractNote = {Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy.
Objective and Purpose:
- Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS system:
i) Achieving sufficient injectivity to support high cross-well flow rates
ii) Distributing flow evenly across the wellbore and reservoir to maximize heat mining efficiency, ensure sustained heat transfer, and mitigate thermal breakthrough
iii) Overcoming the effects of stress heterogeneity, stress shadowing, and variations in natural fracture properties during the stimulation treatment, leading to a more predictable stimulated reservoir volume and offset well placement
- The following activities will be performed:
i) Design, plan, and execute a multistage plug-and-perf stimulation treatment at a Fervo site with data acquisition and well testing activities aimed at addressing key technical aspects of the issues above
ii) Perform data processing and interpretation of field results to translate the results form the Fervo site to a site-specific design at the Utah FORGE site
iii) Design, plan, and execute a multistage plug-and-perf stimulation treatment design at the Utah FORGE site
Methods and Approach:
- Design a detailed data acquisition plan to maximize learning around:
i) DFIT testing
ii) Petrophysical logging, image logging
iii) Permanent DAS/DTS fiber optic monitoring
iv) Deep borehole microseismic monitoring
v) Shallow borehole induced seismicity monitoring
vi) Injection/production testing (RTA analysis, tracer testing)
vii) Integrated numerical modeling and production forecasting},
url = {https://gdr.openei.org/submissions/1485},
year = {2023},
howpublished = {GDR, Fervo Energy, https://doi.org/10.15121/1989384},
note = {Accessed: 2025-04-25},
doi = {10.15121/1989384}
}
https://dx.doi.org/10.15121/1989384
Details
Data from Feb 8, 2023
Last updated Jul 13, 2023
Submitted Mar 24, 2023
Organization
Fervo Energy
Contact
Jack Norbeck
920.840.5840
Authors
Original Source
https://gdr.openei.org/submissions/1485Research Areas
Keywords
geothermal, energy, Utah FORGE, plug-and-perf stimulation, well stimulation, Fervo Energy, plug-and-perf, plug and perf, Fervo, technical, assessment, feasibility, hydraulic, stimulation, injection test, processed data, Blue Mountain, Nevada, EGS, Well 73-22, Well 34A-22, Well 34-22, near-field EGS, horizontal drilling, proppant, heat in place, state of stress, fiber optic sensingDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080