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May 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.

May 30, 2013
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Structural Orientations Adjacent to Some Colorado Geothermal Systems

Structural orientations (fractures, joints, faults, lineaments, bedding orientations, etc.) were collected with a standard Brunton compass during routine field examinations of geothermal phenomena in Colorado. Often multiple orientations were taken from one outcrop. Care was taken...

, R. Flint Geothermal, LLC

Feb 01, 2012
1 Resources
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Geothermal Exploration Raster Files for Utah Play Fairway Analysis

This submission contains raster files associated with several datasets that include earthquake density, Na/K geothermometers, fault density, heat flow, and gravity. Integrated together using spatial modeler tools in ArcGIS, these files can be used for play fairway analysis in rega...

Wannamaker, P. Energy and Geoscience Institute at the University of Utah

Jun 16, 2017
5 Resources
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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
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EGS Collab Experiment 1: Accelerometer orientations

Document describing the methodology used to determine the accelerometers' three-component orientations at the first EGS Collab testbed using Continuous Active-Source Seismic Monitoring (CASSM) data and hodogram analysis. Original submission: gdr.openei.org/submissions/1166

Hopp, C. et al Lawrence Berkeley National Laboratory

Aug 19, 2020
2 Resources
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Analysis of downhole data from USU-1 well Leidos Technical Report

USU Camas-1 is a geothermal test well drilled in Camas Prairie, Idaho, in the Summer and Fall of 2018. The purpose of this test well was to validate Play Fairway methodologies of the Snake River Plain Play Fairway Analysis project. In this report, test data are analyzed to infer...

Garg, S. and Goranson, C. Utah State University

Dec 04, 2018
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Utah FORGE 3-2535: Report on Geodetic Observations of Fracture Development During April 2024 Stimulations

This report presents geodetic observations from the April 2024 stimulations at the Utah FORGE site, as part of LBNL FORGE Project 3-2535. It focuses on Distributed Strain Sensing (DSS) data from an optical fiber in well 16B, capturing localized strain linked to fracture propagatio...

Vasco, D. et al Lawrence Berkeley National Laboratory

Apr 28, 2025
1 Resources
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Curated

Brady's Geothermal Field Nodal Seismometers Metadata

Metadata for the nodal seismometer array deployed at the POROTOMO's Natural Laboratory in Brady Hot Spring, Nevada during the March 2016 testing. Metadata includes location and timing for each instrument as well as file lists of data to be uploaded in a separate submission.

Parker, L. University of Wisconsin

Mar 28, 2016
12 Resources
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WISE-CASING: Time Domain Reflectometry Data from Lab Experiment on Steel Pipe

The steel pipe experiment conducted in the lab was using 6 meter low-carbon steel pipe. We tested it with both dry and in-water condition. In the dry experimental setup, a coaxial cable acting as a return path in the air.

Wang, J. and Wu, Y. Lawrence Berkeley National Laboratory

Jul 23, 2019
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EGS Collab Experiment 1: Well Locations and Orientations.

The EGS Collab is conducting experiments in hydraulic fracturing at a depth of 1.5 km in the Sanford Underground Research Facility (SURF) on the 4850 Level. A total of eight ~60m-long subhorizontal boreholes were drilled at that depth on the western rib of the West Access Drift. S...

Neupane, G. et al Idaho National Laboratory

Sep 05, 2018
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Utah FORGE 6-3712: Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks 2024 Annual Workshop Presentation

This is a presentation on the Probabilistic Estimation of Seismic Response Using Physics-Informed Recurrent Neural Networks by GTC Analytics, presented by Jesse Williams. This video slide presentation discusses the development of machine learning-based predictive tools to estimate...

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

Sep 17, 2024
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