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 - Geothermal Data Repository
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://gdr.openei.org/submissions/1474
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, Geothermal Data Repository. 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]. Geothermal Data Repository. 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 Geothermal Data Repository. https://gdr.openei.org/submissions/1474
@misc{GDR_Dataset_1474,
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 = {Geothermal Data Repository, Lawrence Berkeley National Laboratory, https://gdr.openei.org/submissions/1474},
note = {Accessed: 2025-05-07}
}
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
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