| Name |
Format |
Description |
Link |
|
21 |
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. |
https://gdr.openei.org/submissions/1433 |
|
21 |
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 after the stimulation. |
https://gdr.openei.org/submissions/1471 |
|
33 |
This report outlines the creation of the 3D resistivity models with Section 2 below covering the creation of the baseline model, and Section 3 the inclusion of a stimulated reservoir zone within the baseline model. |
https://gdr.openei.org/files/1436/FORGE_milestone_4p1_11_29_2022_FIN.pdf |
|
33 |
The results of the modeling / survey design study using this model will be employed in a GO / NO GO decision point on whether to continue with the project. This presentation shows the resistivity models that will be employed in the survey design phase of our project to determine the magnitude of fields and how much sensitivity there is to the proposed FORGE stimulated zone when the injection well (16a) is energized with an electric current source connected at the surface as well as other locations down hole above the deviation point, and 3 component magnetic field measurements are made with the VEMP tool in Monitoring wells 58B and 78B located a few hundred meters away from the stimulation. |
https://gdr.openei.org/files/1436/FORGE_Project_3D_Resistivity_Model.pdf |
|
21 |
Numerical modeling Studies for 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. |
https://gdr.openei.org/submissions/1474 |