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University of Illinois Campus Deep Direct-Use Feasibility Study Preliminary Geothermal Reservoir Model

Preliminary geothermal reservoir simulations were performed using a homogeneous static model to evaluate and understand the effects of fluid and rock properties that could influence the delivery of thermal energy in a doublet system. A 5000 feet by 5100 feet by 500 feet homogeneou...

Okwen, R. University of Illinois

May 08, 2018
4 Resources
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Utah FORGE: Orientation of Borehole and Surface Seismic Stations

The University of Utah Seismograph Stations (UUSS) are responsible for the seismic monitoring of the experiments and have installed a series of permanent surface and borehole seismic instruments around the Utah FORGE project site. This report discusses the methods used for proper ...

Bradshaw, P. et al University of Utah Seismograph Stations

Jun 21, 2023
1 Resources
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Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

This is a final report summarizing a two-year (2014-16) 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 ...

E. Jordan, T. Cornell University

Nov 18, 2015
12 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
8 Resources
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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
4 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...

Beckers, K. et al National Renewable Energy Laboratory

Oct 20, 2021
6 Resources
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Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets

Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research has investigated various condition-monitoring techniques such as acoustic emission (AE specifically stress wave), vibrat...

Sheng, S. National Renewable Energy Laboratory

Mar 28, 2014
5 Resources
2 Stars
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EGS Collab Experiment 2: Shear Stimulation ERT Monitoring Data

This repository contains the electrical resistivity tomography (ERT) monitoring data that was collected before, during, and after shear stimulation attempts were conducted at EGS Collab. These tests were carried out on the SURF 4100 level during Experiment 2 in March, 2022. Flow a...

Johnson, T. Pacific Northwest National Laboratory

Mar 06, 2023
4 Resources
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Modeling Responses of Naturally Fractured Geothermal Reservoir to Low-Pressure Stimulation

Hydraulic shearing is an appealing reservoir stimulation strategy for Enhanced Geothermal Systems. It is believed that hydro-shearing is likely to simulate a fracture network that covers a relatively large volume of the reservoir whereas hydro-fracturing tends to create a small nu...

Fu, P. and Carrigan, C. Lawrence Livermore National Laboratory

Jan 01, 2012
2 Resources
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Utah FORGE: Well 58-32 Injection Test Data

This submission contains pressure and flow time series data from the reservoir testing of Well 58-32. These activities were part of the Utah FORGE Phase 2B site suitability confirmatory testing.

Podgorney, R. and McLennan, J. Idaho National Laboratory

Dec 07, 2018
2 Resources
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Harsh Environment Sensors for Geothermal Applications

Technical papers detailing the development of harsh environment sensors for geothermal applications. Principle Investigator is Prof. Albert P. Pisano (University of California, Berkeley). Submission includes a paper about geothermal environmental exposure testing on encapsulant a...

Senesky, D. et al Regents of the University University of California

Jan 01, 2012
2 Resources
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Utah FORGE: Neubrex Well 16B(78)-32 Circulation Test Fiber Optics Monitoring Data and Reports July, 2023

This dataset features Distributed Acoustic Sensing (DAS) and fiber optics monitoring data acquired by Neubrex Energy Services during the Utah FORGE Well 16B(78)-32 circulation test in July 2023. DAS and fiber optic monitoring data include absolute strain, strain change, strain ch...

Jurick, D. and Guzik, A. Energy and Geoscience Institute at the University of Utah

Oct 31, 2023
1 Resources
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Utah FORGE: Telluric Monitoring Experiment Transfer Functions

The Utah Frontier Observatory for Research in Geothermal Energy (FORGE) attempted a stimulation at well 16A(78)-32 during April and May 2022. We recorded telluric and magnetotelluric (MT) data before, during, and after the well stimulation experiment using the FORGE Telluric Monit...

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

May 27, 2022
1 Resources
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Critical Elements in Reservoir Rocks of Produced Fluids Nevada and Utah August 2017

Critical and trace element data for drill cuttings from Beowawe, Dixie Valley, and Roosevelt Hot Springs-Blundell geothermal production fields, for drill cuttings from Uinta basin producing oil-gas wells, and from outcrops in the Sevier Thermal Anomaly-Utah.

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

Aug 18, 2017
1 Resources
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Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.

Jordan, T. et al Cornell University

Oct 27, 2019
27 Resources
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Utah FORGE 2-2404: Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE 2023 Annual Workshop Presentation

This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE project by the University of Oklahoma, presented by Dr. Ahmad Ghassemi, McCasland Chair Professor. The project's objective was to develop a methodology ...

Ghassemi, A. University of Oklahoma

Sep 08, 2023
1 Resources
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EGS Collab Experiment 2: Continuous Active Source Seismic Monitoring (CASSM)

The dataset contains continuous active-source seismic monitoring (CASSM) data collected during EGS Collab Experiment 2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Dakota. This experiment aimed to investigate enhanced geoth...

Hopp, C. et al Lawrence Berkeley National Laboratory

Jan 06, 2025
3 Resources
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Utah FORGE: Well 16A(78)-32 2022 Stimulation Microseismic Report

This is a Utah FORGE well 16A(78)-32 stimulation microseismic detection and event location report from Silixa LLC. The report covers the digital acoustic sensing (DAS) data acquisition and analysis used to study microseismic events during the April, 2022 stimulations at well 16A(7...

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

Sep 26, 2022
1 Resources
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Utah FORGE 9-3664: Proppants for Fracture Conductivity Enhancement and Reservoir Characterization in EGS 2026 Workshop Presentation

This is a presentation on Proppants for Fracture Conductivity Enhancement and Reservoir Characterization in EGS by the University of Oklahoma, presented by Dr. Ahmad Ghassemi. The project is evaluating and developing high-temperature proppant materials to enhance fracture conducti...

Ghassemi, A. University of Oklahoma

Sep 30, 2026
3 Resources
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Appalachian Basin Play Fairway Analysis: Revised 2016 Combined Risk Factor Analysis

This submission contains information used to compute the combined risk factors for deep geothermal energy opportunities in the Appalachian Basin, in the context of a the Play Fairway Analysis project. The risk factors are sedimentary rock reservoir quality, thermal resource qualit...

E., T. Cornell University

Nov 15, 2016
2 Resources
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Solar Radiation Monitoring of Bluefield State College: Bluefield, West Virginia (Data)

The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from July 1985 through December 1996. Funded by DOE, the six-station network provided 5-minute averaged measurements of direct normal, global, and diffuse horizontal solar irradianc...

Stoffel, T. and Andreas, A. National Renewable Energy Laboratory

Dec 17, 2014
2 Resources
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Utah FORGE: Neubrex Well 16B(78)-32 Stimulation Fiber Optic Monitoring Reports April and May, 2024

These reports contain information on the distributed temperature sensing (DTS), distributed strain sensing (DSS), and pressure monitoring during the stimulation of Well 16(B)78-32 at Utah FORGE, in April and May 2024. Reports include information on data collection and calibrations...

Jurick, D. and Guzik, D. Neubrex Energy Services (US), LLC

Apr 30, 2024
3 Resources
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Utah FORGE 6-3656: Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting 2026 Workshop Presentation

This is a presentation on Real-Time Robust Adaptive Traffic Light System and Reservoir Engineering with Machine-Learning-Based Seismicity Forecasting and Data-Driven Ground Motion Prediction (RT Forecast) by Lawrence Berkeley National Laboratory, presented by Dr. Nori Nakata. The ...

Nakata, N. et al Lawrence Berkeley National Laboratory