Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone
Numerical modeling Studies for electromagnetic (EM) Data Acquisition Survey Design - this milestone report describes the 3D modeling studies of energized steel-casing source electromagnetic method for detecting stimulated zone at the Utah FORGE Site. FORGE project 3-2535 is planning on using a casing source EM method for detecting and imaging a deep localized stimulated fracture zone at the Utah FORGE site. Details on other stages of the project are included in the linked GDR submissions below.
Citation Formats
TY - DATA
AB - Numerical modeling Studies for electromagnetic (EM) Data Acquisition Survey Design - this milestone report describes the 3D modeling studies of energized steel-casing source electromagnetic method for detecting stimulated zone at the Utah FORGE Site. FORGE project 3-2535 is planning on using a casing source EM method for detecting and imaging a deep localized stimulated fracture zone at the Utah FORGE site. Details on other stages of the project are included in the linked GDR submissions below.
AU - Um, Evan
A2 - Alumbaugh, David
A3 - Wilt, Michael
A4 - Nichols, Edward
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - geothermal
KW - energy
KW - Utah FORGE
KW - EGS
KW - remote sensing
KW - well characterization
KW - Well 16A
KW - Well 16B
LA - English
DA - 2023/02/06
PY - 2023
PB - Lawrence Berkeley National Laboratory
T1 - Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone
UR - https://data.openei.org/submissions/7568
ER -
Um, Evan, et al. Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone. Lawrence Berkeley National Laboratory, 6 February, 2023, GDR. https://gdr.openei.org/submissions/1474.
Um, E., Alumbaugh, D., Wilt, M., & Nichols, E. (2023). Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone. [Data set]. GDR. Lawrence Berkeley National Laboratory. https://gdr.openei.org/submissions/1474
Um, Evan, David Alumbaugh, Michael Wilt, and Edward Nichols. Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone. Lawrence Berkeley National Laboratory, February, 6, 2023. Distributed by GDR. https://gdr.openei.org/submissions/1474
@misc{OEDI_Dataset_7568,
title = {Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone},
author = {Um, Evan and Alumbaugh, David and Wilt, Michael and Nichols, Edward},
abstractNote = {Numerical modeling Studies for electromagnetic (EM) Data Acquisition Survey Design - this milestone report describes the 3D modeling studies of energized steel-casing source electromagnetic method for detecting stimulated zone at the Utah FORGE Site. FORGE project 3-2535 is planning on using a casing source EM method for detecting and imaging a deep localized stimulated fracture zone at the Utah FORGE site. Details on other stages of the project are included in the linked GDR submissions below.},
url = {https://gdr.openei.org/submissions/1474},
year = {2023},
howpublished = {GDR, Lawrence Berkeley National Laboratory, https://gdr.openei.org/submissions/1474},
note = {Accessed: 2025-05-11}
}
Details
Data from Feb 6, 2023
Last updated Aug 22, 2024
Submitted Feb 6, 2023
Organization
Lawrence Berkeley National Laboratory
Contact
Evan Um
510.495.2172
Authors
Original Source
https://gdr.openei.org/submissions/1474Research Areas
Keywords
geothermal, energy, Utah FORGE, EGS, remote sensing, well characterization, Well 16A, Well 16BDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080