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Gravity Data from Cove Fort and Dog Valley, Utah Play Fairway Analysis

This is a zipped archive containing an ArcGIS shapefile and a text file containing gravity data covering the Cove Fort and Dog Valley areas in central Utah. Part of the data was acquired by the Utah Geological Survey and part came from PACES (University of Texas El Paso). The attr...

Nash, G. and Hardwick, C. Energy and Geoscience Institute at the University of Utah

Aug 27, 2018
2 Resources
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The Convergence of Heat, Groundwater, & Fracture Permeability: Innovative Play Fairway Modeling Applied to the Tularosa Basin Project Report

This report details all of the work done in Phase 2 of a geothermal exploration project in Tularosa Basin, New Mexico. Data acquired as part of Phase 2 includes field geology (geological reconnaissance and mapping), gravity surveys, shallow temperature surveys, well water sampling...

Nash, G. et al Energy and Geoscience Institute at the University of Utah

May 31, 2017
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Utah FORGE: Phase 3A Year 1 Annual Report for 2020

This is the Utah FORGE annual report for Phase 3A year 1, which was completed on December 28th, 2020. This report includes site infrastructure, site operations, seismic monitoring, a conceptual geological model, outreach, and communications for the Utah FORGE project during Phase ...

Moore, J. et al Energy and Geoscience Institute at the University of Utah

Dec 28, 2020
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Utah FORGE: GIS Well Temperature Data

This is a GIS point feature shapefile representing wells, and their temperatures, that are located in the general Utah FORGE area near Milford, Utah. There are also fields that represent interpolated temperature values at depths of 200 m, 1000 m, 2000 m, 3000 m, and 4000 m. in deg...

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

Feb 28, 2018
1 Resources
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk: FY1 Final Report The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal...

A., T. Lawrence Livermore National Laboratory

Jan 01, 2000
6 Resources
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UAE6 Wind Tunnel Tests Data UAE6 Sequence O Raw Data

**Overview** Sequence O: Sin AOA, Parked (P) This sequence was designed to quantify the blade 3-D unsteady aerodynamic response in the absence of rotational influences by varying blade pitch angle. This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind ...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
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Utah FORGE 3-2417: Meteorological Data During 2024 Stimulation

This preliminary data archive includes meteorological data recorded at the Utah FORGE facility over the period of time including the 16A/16B stimulation activities, largely March/April/May of 2024. This information may prove useful for understanding seismic and other instrumentati...

Ajo-Franklin, J. Rice University

May 09, 2024
5 Resources
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: An Approach to Improve Energy Recovery and Mitigate Risk : FY1 Final Report The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal...

A., T. Lawrence Livermore National Laboratory

Jan 01, 2012
7 Resources
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Deep Green Unannotated Protein Structures

The Deep Green list is based on the identification and curation of conserved unannotated proteins in three green lineage (Viridiplantae) model organisms; Arabidopsis thaliana, Chlamydomonas reinhardtii, and Setaria viridis. Preliminary characterization of Deep Green proteins and g...

Knoshaug. . et al National Renewable Energy Laboratory

Apr 20, 2023
4 Resources
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal energy production. Phase 1 includes reservoir analyses to determine injector/producer well schemes that balance the generation of economically useful flow rates at the ...

A., T. Lawrence Livermore National Laboratory

Jan 01, 2012
9 Resources
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Utah FORGE 3-2535: Joint Imaging of Fracture Growth and Estimation of Fracture Properties During EGS Development 2024 Annual Workshop Presentation

This is a presentation on the Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development by Lawrence Berkeley National Laboratory, presented by David Alumbaugh. This is a video pres...

Alumbaugh, D. Energy and Geoscience Institute at the University of Utah

Aug 25, 2024
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Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements 2024 Annual Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS...

Bunger, A. Energy and Geoscience Institute at the University of Utah

Sep 04, 2024
1 Resources
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ARPA-E Grid Optimization (GO) Competition Challenge 3

Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public. The Grid Optimizat...

Elbert, S. et al Pacific Northwest National Laboratory

May 02, 2024
39 Resources
1 Stars
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Microwave Radiometer CU Radiometrics MWR, Condon Reviewed Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...