Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone
This short report details and tests the workflow that will be used to simulate steel well casings in deviated production/extraction boreholes at at the Utah FORGE site. Boreholes will be electrically energized and will serve as data sources for future proposed electromagnetic borehole surveys, which will be used to delineate/estimate the size and porosity of the main FORGE stimulated reservoir. 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.
Accuracy Report.pdf
Citation Formats
TY - DATA
AB - This short report details and tests the workflow that will be used to simulate steel well casings in deviated production/extraction boreholes at at the Utah FORGE site. Boreholes will be electrically energized and will serve as data sources for future proposed electromagnetic borehole surveys, which will be used to delineate/estimate the size and porosity of the main FORGE stimulated reservoir. 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
A5 - Li, Yoaguo
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - geothermal
KW - energy
KW - EGS
KW - remote sensing
KW - well characterization
KW - Utah FORGE
KW - Well 16A
KW - Well 16B
LA - English
DA - 2022/11/15
PY - 2022
PB - Lawrence Berkeley National Laboratory
T1 - Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone
UR - https://data.openei.org/submissions/7540
ER -
Um, Evan, et al. Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone. Lawrence Berkeley National Laboratory, 15 November, 2022, GDR. https://gdr.openei.org/submissions/1433.
Um, E., Alumbaugh, D., Wilt, M., Nichols, E., & Li, Y. (2022). Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone. [Data set]. GDR. Lawrence Berkeley National Laboratory. https://gdr.openei.org/submissions/1433
Um, Evan, David Alumbaugh, Michael Wilt, Edward Nichols, and Yoaguo Li. Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone. Lawrence Berkeley National Laboratory, November, 15, 2022. Distributed by GDR. https://gdr.openei.org/submissions/1433
@misc{OEDI_Dataset_7540,
title = {Utah FORGE 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone},
author = {Um, Evan and Alumbaugh, David and Wilt, Michael and Nichols, Edward and Li, Yoaguo},
abstractNote = {This short report details and tests the workflow that will be used to simulate steel well casings in deviated production/extraction boreholes at at the Utah FORGE site. Boreholes will be electrically energized and will serve as data sources for future proposed electromagnetic borehole surveys, which will be used to delineate/estimate the size and porosity of the main FORGE stimulated reservoir. 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/1433},
year = {2022},
howpublished = {GDR, Lawrence Berkeley National Laboratory, https://gdr.openei.org/submissions/1433},
note = {Accessed: 2025-05-18}
}
Details
Data from Nov 15, 2022
Last updated Aug 22, 2024
Submitted Nov 15, 2022
Organization
Lawrence Berkeley National Laboratory
Contact
Authors
Original Source
https://gdr.openei.org/submissions/1433Research Areas
Keywords
geothermal, energy, EGS, remote sensing, well characterization, Utah FORGE, Well 16A, Well 16BDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080
