OpenEI: Energy Information
  • Open Energy Data Initiative (OEDI)
  • My User
    • Sign Up
    • Login
OEDI logo
  • Data
    • View All Submissions
    • Data Lakes
    • Submit Data
  • Help
    • Frequently Asked Questions
    • Data Submission Best Practices
    • Data Submission Tutorial Videos
    • Contact OpenEI Help
  • About
  • Search

Search OEDI Data

Showing results 51 - 62 of 62.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Research Areas
Accessibility
Data Type
Organization
Source
"cost and performance"×
Lawrence Livermore National Laboratory×

Utah FORGE 5-2428: Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior 2023 Annual Workshop Presentation

This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemic...
Kroll, K. et al Lawrence Livermore National Laboratory
Sep 08, 2023
1 Resources
0 Stars
Publicly accessible

Brady 1D Seismic Velocity Model Ambient Noise Prelim

Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 ...
J., R. Lawrence Livermore National Laboratory
Oct 25, 2013
1 Resources
0 Stars
Publicly accessible

Modeling Responses of Naturally Fractured Geothermal Reservoir to Low-Pressure Stimulation

Hydraulic shearing is an appealing reservoir stimulation strategy for Enhanced Geothermal Systems. It is believed that hydro-shearing is likely to simulate a fracture network that covers a relatively large volume of the reservoir whereas hydro-fracturing tends to create a small nu...
Fu, P. and Carrigan, C. Lawrence Livermore National Laboratory
Jan 01, 2012
2 Resources
0 Stars
Publicly accessible

Utah FORGE 2-2446: Characterizing Stress Roughness Through Simulation of Hydraulic Fracture Growth

This dataset covers work that investigated the apparent toughness anisotropy at Utah FORGE by comparing microseismic data with stress profiles from field measurements. The study analyzes the hydraulic fracture growth of Stage 3 at Well 16A(78)-32 using MEQ data, calibrating a nume...
Cusini, M. and Fei, F. Lawrence Livermore National Laboratory
Jan 30, 2025
3 Resources
0 Stars
Publicly accessible

Applications of Geothermally-Produced Colloidal Silica in Reservoir Management Smart Gels

In enhanced geothermal systems (EGS) the reservoir permeability is often enhanced or created using hydraulic fracturing. In hydraulic fracturing, high fluid pressures are applied to confined zones in the subsurface usually using packers to fracture the host rock. This enhances r...
Hunt, J. et al Lawrence Livermore National Laboratory
Jan 31, 2013
2 Resources
0 Stars
Publicly accessible

Brady Geothermal 1D Seismic Velocity Model

This submission contains an ASCII text file of seismic velocities derived from ambient noise cross-correlation used to create a model of seismic velocity as a 1-D function of depth in addition to a quarterly report describing the creation and use of the model. Model uses 28 Green'...
Matzel, E. Lawrence Livermore National Laboratory
Feb 17, 2015
2 Resources
0 Stars
Publicly accessible

Grain-Scale Failure in Thermal Spallation Drilling

Geothermal power promises clean, renewable, reliable and potentially widely-available energy, but is limited by high initial capital costs. New drilling technologies are required to make geothermal power financially competitive with other energy sources. One potential solution is ...
Walsh, S. et al Lawrence Livermore National Laboratory
Jan 01, 2012
1 Resources
0 Stars
Publicly accessible

The Value of Spatial Information for Determining Well Placement

The article and accompanying spreadsheet represent the information posteriors derived from synthetic data of magnetotellurics (MT). These were used to calculate value of information of MT for geothermal exploration. Information posteriors describe how well MT was able to locate t...
Trainor-Guitton, W. et al Lawrence Livermore National Laboratory
May 12, 2014
2 Resources
0 Stars
Publicly accessible

Surface Complexation Modeling of Terbium Biosorption onto E. Coli Bacterial Surfaces with Lanthanide Binding Tags

Lanthanide binding tags (LBTs) have been engineered onto native Escherichia coli (E. coli) bacterial surfaces to enhance extraction and recovery of rare earth elements (REEs). Three strains of E. coli were studied: (1) the native E. coli surface, (2) a mutant E. coli surface with ...
Jiao, Y. Lawrence Livermore National Laboratory
Apr 01, 2018
1 Resources
0 Stars
Publicly accessible

Rare Earth Element Biomining from the Great Salt Lake Brine Using Engineered E. Coli

This data describes rare earth element adsorption onto E. coli cells engineered to express a lanthanide binding tag (LBT). We used a Great Salt Lake synthetic solution as the background matrix with Tb added to 1-10,000 ppb, concentrations much lower than the competing ions presen...
Jiao, Y. et al Lawrence Livermore National Laboratory
Jun 04, 2017
1 Resources
0 Stars
Publicly accessible

Generalized Displacement Correlation Method for Estimating Stress Intensity Factors

This paper presents a generalized form of the displacement correlation method (the GDC method), which can use any linear or quadratic finite element type with homogeneous meshing without local refinement. These two features are critical for modeling dynamic fracture propagation pr...
Fu, P. et al Lawrence Livermore National Laboratory
Jan 01, 2012
1 Resources
0 Stars
Publicly accessible

Value of Information References

This file contains a list of relevant references on value of information (VOI) in RIS format. VOI provides a quantitative analysis to evaluate the outcome of the combined technologies (seismology, hydrology, geodesy) used to monitor Brady's Geothermal Field.
Morency, C. Lawrence Livermore National Laboratory
Dec 12, 2014
1 Resources
0 Stars
Publicly accessible
<< Previous123
  • About the Open Energy Data Initiative
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • The OEDI Data Lake is a centralized repository of datasets aggregated from the U.S. Department of Energy’s Programs, Offices, and National Laboratories.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

Privacy Policy Notification

This site uses cookies to store and share user preferences with other OpenEI sites, and uses Google Analytics to collect anonymous user information such as which pages are visited, for how often, and what searches or other webpages may have led users here. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser or by installing a Google Analytics Opt-out Browser Add-on. By clicking "Accept" you agree this site can store cookies on your device and disclose information to OpenEI and Google Analytics in accordance with our privacy policy.

OpenEI Privacy Policy Google Analytics Terms of Service