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Utah FORGE: Well 58-32 Stimulation Conference Paper and Data

The U.S. Department of Energy's (U.S. DOE) Frontier Observatory for Research in Geothermal Energy (FORGE) is a field laboratory that provides a unique opportunity to develop and test new technologies for characterizing, creating and sustaining Enhanced Geothermal Systems (EGS) in ...

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

Apr 24, 2019
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PoroTomo Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1

This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour per...

Kratt, C. et al Oregon State University

Jan 09, 2019
6 Resources
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Research Report of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

This is a final report summarizing a one-year (2014-15) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and...

Jordan, T. et al Cornell University

Sep 30, 2015
22 Resources
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Utah FORGE: Microseismic Monitoring Geophone Data from Well 78-32

This submission includes geophone data collected by Schlumberger from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. The data are hosted by the Center for High Performance Computing (CHPC) at the University of Utah, and a script for dow...

Pankow, K. University of Utah

Mar 18, 2020
5 Resources
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Brady's Geothermal Field Distributed Temperature Sensing Data

This submission is an 8 day time history of vertical temperature measurements in Brady observation well 56-1 collected during the PoroTomo field experiment. The data was collected with a fiber-optic DTS system installed to a depth of 372 m below wellhead. DTS installation uses a d...

Patterson, J. University of Wisconsin

Mar 26, 2016
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Utah FORGE: Phase 1a Tensor Strainmeter Data for the April, 2022 Stimulation of Well 16A(78)-32

Data from two Tensor Optical Fiber Strainmeters that were operational during Stages 1, 2, and 3 of the April, 2022 stimulation of well 16A(78)-32. Each csv file contains data from each stimulation stage (stage1, stage2, stage3) for both Phase 1a strainmeter installations (FS01, f...

DeWolf, S. and Murdoch, L. Clemson University

Sep 15, 2022
8 Resources
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GPS Station RINEX Files and Position Time-Series

Links to URL's with latest position time-series of GPS stations SEMN, SEMS, and GARL at the San Emidio Desert Geothermal Area as well as URL with links to archived RINEX files. The data is being taken as part of the WHOLESCALE project for the purpose of developing a protocol for s...

Feigl, K. University of Wisconsin

Oct 14, 2021
6 Resources
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Utah FORGE: Downhole Geophone Seismic Data (August 2022)

This is a link to downhole geophone data collected by Schlumberger. These data were collected in the Utah FORGE deep seismic monitoring wells 58-32 and 56-32. The format is a standard SEGY and the units are bits. To convert to acceleration (m/s2) multiply by 2.333 x 10-7. Use one ...

Pankow, K. and Schlumberger, S. University of Utah Seismograph Stations

Aug 25, 2022
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Hawaii Play Fairway: Preliminary Core Box Photos, Lanai Island, Hawaii

Photos of core samples from Lanai Island. During the third phase of the Hawaii Play Fairway project, further exploration involved drilling a groundwater well in Lanai's Palawai Basin and performing more geophysical surveys. The project deepened an existing water well on Lanai. Dri...

Lautze, N. et al University of Hawaii

Jul 01, 2019
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...

Mustafa, A. et al Battelle Memorial Institute

Sep 28, 2023
3 Resources
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Hybrid machine learning model to predict 3D in-situ permeability evolution

Enhanced geothermal systems (EGS) can provide a sustainable and renewable solution to the new energy transition. Its potential relies on the ability to create a reservoir and to accurately evaluate its evolving hydraulic properties to predict fluid flow and estimate ultimate therm...

Elsworth, D. and Marone, C. Pennsylvania State University

Nov 22, 2022
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Utah FORGE: UGS Interactive Geoscience Map

This is a link to the Utah Geological Survey's Utah FORGE Interactive Geoscience Map. The map layers include information on geology, geography, subsurface temperatures, seismicity, gravity and groundwater. Instructions for using the interactive map and a legend for the interactive...

Hill, J. Utah Geological Survey

Jan 01, 2021
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Brady's Geothermal Field DTS Raw Data

The submitted data correspond to the complete raw temperature datasets captured by the distributed temperature sensing (DTS) horizontal and vertical arrays during the PoroTomo Experiment. Files in each submitted resource include: .xml (level 0): Data that includes Stokes, Anti-S...

Coleman, T. University of Wisconsin

Mar 26, 2016
4 Resources
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Utah FORGE: Great Basin Groundwater Geochemical Database

A database of groundwater chemistry in the Great Basin, USA. The data is located at the Nevada Bureau of Mines and Geology. This contains data relevant to the Utah FORGE site.

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

Jan 01, 2005
1 Resources
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Tularosa Basin Play Fairway Analysis: Groundwater, Heat Flow, Relief Map

In this submission is the groundwater composite risk segment (CRS) used for play fairway analysis. Also included is a heat flow probability map, and a shaded relief map of the Tularosa Basin, NM.

Brandt, A. University of Utah

Nov 15, 2015
5 Resources
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Exploration Case Studies on OpenEI

The goal of this project was to create a template (and associated form) on OpenEI to solicit crowd-sourced information sharing about various geothermal resource areas around the world. Over the past two years, twelve case studies have been researched by NREL staff testing the usa...

Young, K. National Renewable Energy Laboratory

Sep 27, 2013
2 Resources
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Utah FORGE: Seismograph Station Information and Data

This link leads to the University of Utah Seismograph Stations website Utah FORGE seismograph stations page. This page contains a location map and description of the Utah FORGE seismograph stations and other related information. Additionally, data can be downloaded for each statio...

Pankow, K. University of Utah Seismograph Stations

Jan 26, 2021
1 Resources
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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
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Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...

Smith, J. Cornell University

Oct 29, 2019
6 Resources
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Simulations of Brady's-Type Fault Undergoing CO2 Push-Pull: Pressure-Transient and Sensitivity Analysis

Input and output files used for fault characterization through numerical simulation using iTOUGH2. The synthetic data for the push period are generated by running a forward simulation (input parameters are provided in iTOUGH2 Brady GF6 Input Parameters.txt [InvExt6i.txt]). In gene...

Jung, Y. and Doughty, C. Lawrence Berkeley National Laboratory

Mar 09, 2018
11 Resources
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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...

Lu, G. et al University of Pittsburgh

Aug 30, 2024
2 Resources
0 Stars
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Exploration for Blind Geothermal Resources in the State of Hawaii Utilizing Dissolved Noble Gasses in Well Waters

This study is an extension of the Hawaii Play Fairway Analysis (PFA), a statewide geothermal exploration project funded by the United States Department of Energy. Based on results from prior phases of the PFA, this project targeted 66 wells on the islands of Hawaii, Maui, Lanai, O...

Ferguson, C. University of Hawaii

Nov 01, 2020
4 Resources
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Utah FORGE 6-3712: Report on a Data Foundation for Real-Time Identification of Microseismic Events

This submission is a technical report for the Probabilistic Estimation of Seismic Response Using Physics Informed Recurrent Neural Networks project. The report describes the process of extracting events from the borehole seismic sensors. To be effective once deployed, the process ...

Williams, J. et al Global Technology Connection, Inc.

Jan 21, 2025
3 Resources
0 Stars
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Newberry EGS Demonstration: Initial Project Report and Induced Seismicity Mitigation Plan, 2011

This is the first project report and induced seismicity mitigation plan for the Newberry Enhanced Geothermal Systems (EGS) Demonstration project. The primary objectives of this first phase were to obtain necessary permits and comply with all regulations, including NEPA, communica...

Cladouhos, T. et al AltaRock Energy Inc

May 05, 2024
4 Resources
0 Stars
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Analyzed Boise Data for Oscillatory Hydraulic Tomography

Data here has been "pre-processed" and "analyzed" from the raw data submitted to the GDR previously (raw data files found at http://gdr.openei.org/submissions/479. doi:10.15121/1176944 after 30 September 2017). First, we submit .mat files which are the "pre-processed" data (must h...

Lim, D. University of Wisconsin

Jul 01, 2015
8 Resources
0 Stars
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