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Utah FORGE 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone

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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.

Building the 3D Resistivity Model

This report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reser... more

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Geodetic Data and Estimation of Associated Deformation1

Report on possible geodetic signature of the 3 stimulations in April 2022 as well as a comparison with existing InSAR data gathered over the site before, during, and af... more

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Numerical Modeling of Energized Steel-Casing Source

This 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. Boreh... more

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Report on Casing Source EM Simulations.pdf

This study involves progress that is covered in two earlier milestone reports. First we built a 3D resistivity model (milestone 4.1) derived from the 3D inversion of ma... more

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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  -

Export Citation to RIS

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: 2025-05-31}
}

Details

Data from Feb 6, 2023

Last updated Aug 22, 2024

Submitted Feb 6, 2023