Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements
The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. 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 - The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. 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 - Alumbaugh, David
A2 - Um, Evan
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 - FORGE
KW - modeling
KW - resistivity model
KW - remote sensing
KW - well characterization
KW - Well 16A
KW - Well 16B
LA - English
DA - 2022/12/01
PY - 2022
PB - Lawrence Berkeley National Laboratory
T1 - Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements
UR - https://data.openei.org/submissions/7543
ER -
Alumbaugh, David, et al. Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements. Lawrence Berkeley National Laboratory, 1 December, 2022, GDR. https://gdr.openei.org/submissions/1436.
Alumbaugh, D., Um, E., Wilt, M., & Nichols, E. (2022). Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements. [Data set]. GDR. Lawrence Berkeley National Laboratory. https://gdr.openei.org/submissions/1436
Alumbaugh, David, Evan Um, Michael Wilt, and Edward Nichols. Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements. Lawrence Berkeley National Laboratory, December, 1, 2022. Distributed by GDR. https://gdr.openei.org/submissions/1436
@misc{OEDI_Dataset_7543,
title = {Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements},
author = {Alumbaugh, David and Um, Evan and Wilt, Michael and Nichols, Edward},
abstractNote = {The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. 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/1436},
year = {2022},
howpublished = {GDR, Lawrence Berkeley National Laboratory, https://gdr.openei.org/submissions/1436},
note = {Accessed: 2025-05-03}
}
Details
Data from Dec 1, 2022
Last updated Aug 22, 2024
Submitted Dec 1, 2022
Organization
Lawrence Berkeley National Laboratory
Contact
David Alumbaugh
510.717.7179
Authors
Original Source
https://gdr.openei.org/submissions/1436Research Areas
Keywords
geothermal, energy, Utah FORGE, EGS, FORGE, modeling, resistivity model, remote sensing, well characterization, Well 16A, Well 16BDOE Project Details
Project Name Utah FORGE
Project Lead Lauren Boyd
Project Number EE0007080