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Newberry Caldera Conceptual Geophysical Model

Conceptual model for the Newberry Caldera geothermal area. Model is centered around caldera and evaluates multiple geophysical datasets to derive a conceptual subsurface model. Includes: Conductor layer based on transient electromagnetic data from Fitterman et al., 1988 (figure...

Moser, M. et al National Energy Technology Laboratory

Mar 04, 2016
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Utah FORGE: Triaxial Direct Shear Results February 2025

This dataset contains results from nine triaxial direct shear tests conducted by Los Alamos National Laboratory on samples from FORGE Well 16A(78)-32. The primary objectives of this work were to determine the shear strength in both intact and residual states, evaluate dilation aga...

Frash, L. et al Los Alamos National Laboratory

Feb 28, 2025
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CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations

This submission contains datasets and a final manuscript associated with a project simulating carbon dioxide push-pull into a conjugate fault system modeled after Dixie Valley- sensitivity analysis of significant parameters and uncertainty prediction by data-worth analysis. Datas...

Oldenburg, C. et al Lawrence Berkeley National Laboratory

Jul 20, 2017
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Technoeconomics of Transported Geothermal Energy

This data set was used to calculate the technical potential and economic feasibility of transported geothermal energy, according to the methodology outlined in the final report included below.

Liu, X. et al Oak Ridge National Laboratory

Aug 10, 2016
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Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications

To better understand the heat production, electricity generation performance, and economic viability of closed-loop geothermal systems in hot-dry rock, the Closed-Loop Geothermal Working Group a consortium of several national labs and academic institutions has tabulated time-depe...

Beckers, K. et al Pacific Northwest National Laboratory

Feb 03, 2023
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Utah FORGE: Powder X-ray Diffraction Data from Well 16A(78)-32 Core

This dataset from Lawrence Livermore National Laboratory (LLNL) consists of four raw X-ray diffraction (XRD) scans and preliminary results of quantitative XRD analysis. The scanned samples were prepared from four subcores, which came from various depths of the FORGE well 16A(78)-3...

Kroll, K. et al Lawrence Livermore National Laboratory

Jul 27, 2023
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US Low-Temperature EGS Resource Potential Estimate

Shapefile of shallow, low-temperature EGS resources for the United States, and accompanying paper (submitted to GRC 2016) describing the methodology and analysis. These data are part of a very rough estimate created for use in the U.S. Department of Energy Geothermal Technology O...

Mullane, M. et al National Renewable Energy Laboratory

Jun 30, 2016
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Utah FORGE 2-2446: Closing the Loop Between In-Situ Stress Complexity and EGS Fracture Complexity 2024 Annual Workshop Presentation

This is a presentation on Closing the Loop Between In-Situ Stress Complexity and EGS Fracture Complexity by Lawrence Livermore National Laboratory, presented by Matteo Cusini. The video discusses the combination of high-fidelity simulations and true-triaxial block fracturing tests...

Cusini, M. et al Energy and Geoscience Institute at the University of Utah

Aug 26, 2024
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Geothermometry Mapping of Deep Hydrothermal Reservoirs in Southeastern Idaho: Final Report

Geothermometry Mapping of Deep Hydrothermal Reservoirs in Southeastern Idaho. Project final report with detail appendices.

Mattson, E. et al Idaho National Laboratory

Aug 15, 2016
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Data for Known Geothermal Resource Areas (KGRA) and Identified Hydrothermal Resource Areas (IHRA) in Southern Idaho and Southeastern Oregon

The presented database includes water chemistry data and structural rating values for various geothermal features used for performing principal component (PC) and cluster analyses work to identify promising KGRAs and IHRAs in southern Idaho and southeastern Oregon. A brief note on...

Neupane, G. et al Idaho National Laboratory

Oct 09, 2017
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Utah FORGE: LBNL Reports on VEMP Electromagnetic Data Collection and Processing 2024

This archive contains reports related to Vertical Electromagnetic Profiling (VEMP) tool data collection and processing at Utah FORGE in 2024. The first report describes LBNL's effort to collect electromagnetic geophysical data with the tool in well 78-32B and a downhole electrode ...

Alumbaugh, D. et al Los Alamos National Laboratory

Mar 02, 2025
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Dynamic Earth Energy Storage: Terawatt-year, Grid-scale Energy Storage Using Planet Earth as a Thermal Battery (GeoTES): Phase I Project Final Report

Final report for the DOE GTO funded research on geologic thermal energy storage (GeoTES), or commonly known as reservoir thermal energy storage (RTES). The results described in this report shed light on various aspects of RTES including project siting, operational performance, m...

Atkinson, T. et al Idaho National Laboratory

Sep 02, 2022
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Fallon FORGE: Analogue Outcrop Samples

Compilation of results for mechanical and fluid flow properties of analogue outcrop samples experimental data for compressional and shear wave velocities, tensile strengths, and compressive strengths. Outcrop location and sample orientation data are documented in a separate csv file.

Blankenship, D. et al Sandia National Laboratories

Mar 12, 2018
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EGS Collab Experiment 1 Stimulation Data

Stimulation data from Experiment 1 of EGS Collab, which occurred on the 4850 ft level of the Sanford Underground Research Facility (SURF). A detailed description of the stimulation data is provided in the StimulationDataNotes.docx and is also available on the EGS Collab Wiki. A M...

Knox, H. et al Pacific Northwest National Laboratory

Aug 13, 2020
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EGS Collab Experiment 2: Results of Tracer Tests

Multiple sets of tracer tests were conducted at the EGS Collab Testbed 2 on the 4100 L at the Sanford Underground Research Facility (SURF), Lead, SD. The enclosed data package includes: tracer recovery results, water balance calculations and rationales, water flow measurement for ...

Neupane, G. et al Idaho National Laboratory

Jul 26, 2022
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Utah FORGE: LBNL Status Report on the VEMP Tool 2022

This report describes the current status of the Vertical Electromagnetic Profiling, or VEMP tool, that is on loan to Lawrence Berkeley National Lab (LBNL) from Geothermal Energy Research and Development Co., Ltd. (GERD), Japan. The report describes the initial inspection of the to...

Wilt, M. et al Lawrence Berkeley National Laboratory

Jun 24, 2022
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Development of a Downhole Tool Measuring Real-Time Concentration of Ionic Tracers and pH in Geothermal Reservoirs

For enhanced or Engineered Geothermal Systems (EGS) geothermal brine is pumped to the surface via the production wells, the heat extracted to turn a turbine to generate electricity, and the spent brine re-injected via injection wells back underground. If designed properly, the sub...

Hess, R. et al Sandia National Laboratories

Mar 31, 2014
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CO2 Push-Pull Single Fault Injection Simulations

ASCII text files containing grid-block name, X-Y-Z location, and multiple parameters from TOUGH2 simulation output of CO2 injection into an idealized single fault representing a dipping normal fault at the Desert Peak geothermal field (readable by GMS). The fault is composed of a ...

Borgia, A. et al Lawrence Berkeley National Laboratory

Sep 21, 2017
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Geothermal Sector Cybersecurity Vulnerability Assessment Presentation

As geothermal resource contributions to the energy sector grow, cybersecurity will be increasingly important to ensure resilient, reliable, and secure clean energy for years to come. An overview of the cybersecurity vulnerability assessment project was developed and presented at t...

Markel, T. et al National Renewable Energy Laboratory

Oct 20, 2020
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Utah FORGE: Triaxial Direct Shear Results

This submission contains a report and associated data from triaxial direct shear tests conducted by Los Alamos National Laboratory. The samples used were sourced from 16A(78)-32 well core. The primary objectives of this test were to determine the shear strength in both intact an...

Frash, L. et al Los Alamos National Laboratory

Aug 14, 2023
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Development of a Neutron Diffraction Based Experimental Capability for Investigating Hydraulic Fractures for EGS-like Conditions

Understanding the relationship between stress state, strain state and fracture initiation and propagation is critical to the improvement of fracture simulation capability if it is to be used as a tool for guiding hydraulic fracturing operations. The development of fracture predict...

Polsky, Y. et al Oak Ridge National Laboratory

Feb 01, 2013
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Application of Neutron Imaging to Investigate Flow through Fractures for EGS

There is an ongoing effort at Oak Ridge National Laboratory to develop a unique experimental capability for investigating flow through porous and fractured media using neutron imaging techniques. This capability is expected to support numerous areas of investigation associated wit...

Polsky, Y. et al Oak Ridge National Laboratory

Feb 01, 2013
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Stability of Elastomers Subjected to Geothermal Well-Like Conditions

The aim of this study is to understand how commercially available elastomers perform under geothermal well-like conditions and make recommendations to the community based on these results. This poster highlights the mechanical performance of several elastomers (including EPDM, Vit...

Redline, E. et al Sandia National Laboratories

Aug 10, 2014
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Utah FORGE: Well 16A(78)-32 Core-Flooding Experiment Results

This dataset contains core-flood experimental results from the Utah FORGE project, generated through laboratory tests at Lawrence Livermore National Laboratory. The experiments were conducted at temperatures of 100C and 200C using core samples from the 16A(78)-32 well. The primary...

Smith, M. et al Lawrence Livermore National Laboratory

Apr 04, 2024
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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...

Jin, W. et al Idaho National Laboratory

Apr 15, 2022
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