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Utah FORGE Project 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation

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. In geothermal production it is important to understand the existing stress field and the cha...

Vasco, D. et al Lawrence Berkeley National Laboratory

Apr 29, 2022
4 Resources
0 Stars
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Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy. Objective and Purpose: Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS sys...

Norbeck, J. et al Fervo Energy

Feb 08, 2023
3 Resources
0 Stars
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April 2013 Green Machine Florida Canyon Hourly Data

Employing innovative product developments to demonstrate financial and technical viability of producing electricity from low temperature geothermal fluids, coproduced in a mining operation, by employing ElectraTherm's modular and mobile heat-to-power "micro geothermal" power plant...

Vanderhoff, A. ElectraTherm, Inc.

Apr 24, 2013
1 Resources
0 Stars
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May 2013 Green Machine Florida Canyon Hourly Data

Vanderhoff, A. ElectraTherm, Inc.

May 30, 2013
1 Resources
0 Stars
Publicly accessible

June 2013 Green Machine Florida Canyon Hourly Data

Vanderhoff, A. ElectraTherm, Inc.

Jul 15, 2013
1 Resources
0 Stars
Publicly accessible

January 2014 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Feb 03, 2014
1 Resources
0 Stars
Publicly accessible

Mineralogy of Drill Cuttings Beowawe, Dixie Valley and Roosevelt Hot Springs

Mineralogical, lithological, and geospatial data of drill cuttings from exploration production wells in Beowawe, Dixie Valley and Roosvelt Hot Springs. These data support whole rock analyses for major, minor and critical elements to assess critical metals in produced fluids from N...

Simmons, S. Energy and Geoscience Institute at the University of Utah

Jan 25, 2017
2 Resources
0 Stars
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Slip and Dilation Tendency Analysis of McGinness Hills Geothermal Area

Slip and Dilation Tendency in focus areas Critically stressed fault segments have a relatively high likelihood of acting as fluid flow conduits (Sibson, 1994). As such, the tendency of a fault segment to slip (slip tendency; Ts; Morris et al., 1996) or to dilate (dilation tendency...

E., J. University of Nevada

Dec 31, 2013
1 Resources
0 Stars
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Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: Data used in Geosphere Journal Article

This data submission is for Phase 2 of Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations, which focuses on multi-fluid (CO2 and brine) geothermal energy production and diurnal bulk energy storage in geologic settings that are suitable for ...

A., T. Lawrence Livermore National Laboratory

Jun 01, 2015
2 Resources
0 Stars
Publicly accessible

July 2013 Green Machine Florida Canyon Hourly Data

Vanderhoff, A. ElectraTherm, Inc.

Aug 30, 2013
1 Resources
0 Stars
Publicly accessible

August 2013 Green Machine Florida Canyon Hourly Data

Vanderhoff, A. ElectraTherm, Inc.

Sep 10, 2013
1 Resources
0 Stars
Publicly accessible

September 2013 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Oct 25, 2013
1 Resources
0 Stars
Publicly accessible

October 2013 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Oct 31, 2013
1 Resources
0 Stars
Publicly accessible

November 2013 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Dec 02, 2013
1 Resources
0 Stars
Publicly accessible

December 2013 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Jan 08, 2014
1 Resources
0 Stars
Publicly accessible

February 2014 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Mar 03, 2014
1 Resources
0 Stars
Publicly accessible

March 2014 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Apr 07, 2014
1 Resources
0 Stars
Publicly accessible

April 2014 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

May 05, 2014
1 Resources
0 Stars
Publicly accessible

May 2014 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Jun 02, 2014
1 Resources
0 Stars
Publicly accessible

June 2014 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Jun 30, 2014
1 Resources
0 Stars
Publicly accessible

July 2014 Green Machine Florida Canyon Hourly Data

Thibedeau, J. ElectraTherm, Inc.

Jul 31, 2014
1 Resources
0 Stars
Publicly accessible

Penrose Well Temperatures

Penrose Well Temperatures Geothermal waters have been encountered in several wells near Penrose in Fremont County, Colorado. Most of the wells were drilled for oil and gas exploration and, in a few cases, production. This ESRI point shapefile utilizes data from 95 wells in and a...

Christopherson, K. Flint Geothermal, LLC

Mar 15, 2013
1 Resources
0 Stars
Publicly accessible

Cascades/Aleutian Play Fairway Analysis: Data and Map Files

Contains Excel data files used to quantifiably rank the geothermal potential of each of the young volcanic centers of the Cascade and Aleutian Arcs using world power production volcanic centers as benchmarks. Also contains shapefiles used in play fairway analysis with power plant...

Shevenell, L. ATLAS Geosciences Inc

Nov 15, 2015
7 Resources
0 Stars
Publicly accessible

Utah FORGE: Video of Utah FORGE Drilling Planning for Production Well 16B(78)-32

This is a YouTube video containing the specifics of well planning for Utah FORGE 16B(78)-32. This well will be drilled as a doublet approximately 300 feet parallel to and above 16A(78)-32 and will be drilled between approximately April 15th and July 17th 2023.

McLennan, J. Energy and Geoscience Institute at the University of Utah

Mar 03, 2023
2 Resources
0 Stars
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...

Ahmmed, B. Stanford University

Apr 04, 2022
3 Resources
0 Stars
Publicly accessible

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Utah FORGE Project 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation

Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

April 2013 Green Machine Florida Canyon Hourly Data

May 2013 Green Machine Florida Canyon Hourly Data

June 2013 Green Machine Florida Canyon Hourly Data

January 2014 Green Machine Florida Canyon Hourly Data

Mineralogy of Drill Cuttings Beowawe, Dixie Valley and Roosevelt Hot Springs

Slip and Dilation Tendency Analysis of McGinness Hills Geothermal Area

Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: Data used in Geosphere Journal Article

July 2013 Green Machine Florida Canyon Hourly Data

August 2013 Green Machine Florida Canyon Hourly Data

September 2013 Green Machine Florida Canyon Hourly Data

October 2013 Green Machine Florida Canyon Hourly Data

November 2013 Green Machine Florida Canyon Hourly Data

December 2013 Green Machine Florida Canyon Hourly Data

February 2014 Green Machine Florida Canyon Hourly Data

March 2014 Green Machine Florida Canyon Hourly Data

April 2014 Green Machine Florida Canyon Hourly Data

May 2014 Green Machine Florida Canyon Hourly Data

June 2014 Green Machine Florida Canyon Hourly Data

July 2014 Green Machine Florida Canyon Hourly Data

Penrose Well Temperatures

Cascades/Aleutian Play Fairway Analysis: Data and Map Files

Utah FORGE: Video of Utah FORGE Drilling Planning for Production Well 16B(78)-32

GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources