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Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
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12 Resources
0 Stars
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Low-Temperature Hydrothermal Resource Potential Estimate
Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessible...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
3 Resources
0 Stars
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3 Resources
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Utah FORGE Phase Native State FALCON Model Files
The submission includes FALCON input file and mesh for the an initial pressure-temperature simulation, and a second set for pressure-temperature-displacement simulation. All simulations are steady state. Data and input for the FORGE Phase 2 native state model were compiled from hi...
Podgorney, R. Idaho National Laboratory
Jun 06, 2019
2 Resources
0 Stars
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2 Resources
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EGS Collab Experiment 1: TOUGH2-CSM Simulation of Embedded Natural Fractures and Chemical Tracer Transport and Sorption
The EGS Collab SIGMA-V project is a multi-lab and university collaborative research project that is being undertaken at the Sanford Underground Research Facility (SURF) in South Dakota. The project consists of studying stimulation, fluid-flow, and heat transfer processes at a scal...
Johnston, B. et al National Renewable Energy Laboratory
Jun 07, 2019
4 Resources
0 Stars
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4 Resources
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Utah FORGE 2020-2021 Geothermal Energy/EGS Survey and Results
The Utah FORGE project collaborated with the University of Utahs Department of Communication on a Capstone course during Fall Semester 2020. The course created a survey to gauge the general populations knowledge of geothermal energy and Enhanced Geothermal Systems (EGS). The surve...
Yeo, S. and McKasy, M. Energy and Geoscience Institute at the University of Utah
Jul 20, 2021
1 Resources
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1 Resources
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Utah FORGE Well 16A(78)-32 Simplified Discrete Fracture Network Data
The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...
Finnila, A. Golder Associates Inc.
Jun 01, 2021
3 Resources
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3 Resources
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Altona Well Field 222Rn Data
Field data and 222Rn activities from the Altona well field. 222Rn, the most stable isotope of radon, was tested for during well extraction experiments. Tracers were also tracked to monitor the well. Data include 222Rn activities and complimentary geochemical data for multiple fiel...
Brown, S. Lawrence Berkeley National Laboratory
Mar 08, 2017
1 Resources
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1 Resources
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Low-Temperature Hydrothermal Resource Potential Estimate
Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessibl...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
4 Resources
0 Stars
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4 Resources
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Microhole Tubing Bending Report
A downhole tubing bending study was made and is reported herein. It contains a report and 2 excel spreadsheets to calculate tubing bending and to estimate contact points of the tubing to the drilled hole wall (creating a new support point).
Ruan, C. Impact Technologies LLC
Jan 01, 2012
3 Resources
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3 Resources
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Utah FORGE: Seismic Reflection Data
This is 2D and 3D seismic reflection data from Utah FORGE reprocessed during Phase 2c. The readme file containing an explanation of the data including data formats, software that can be used, processing, and projection and datum used. The Reprocessing document gives the rationale ...
Miller, J. Energy and Geoscience Institute at the University of Utah
Jun 19, 2019
4 Resources
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4 Resources
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EGS Collab Experiment 1: Baseline Cross-well Seismic
As part of the geophysical characterization suite for the first EGS Collab tesbed, here are the baseline cross-well seismic data and resultant models. The campaign seismic data have been organized, concatenated with geometry and compressional (P-) & and shear (S-) wave picks, and ...
Schwering, P. et al Sandia National Laboratories
Apr 30, 2018
9 Resources
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9 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
4 Resources
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4 Resources
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Applications of Geothermally-Produced Colloidal Silica in Reservoir Management Smart Gels
In enhanced geothermal systems (EGS) the reservoir permeability is often enhanced or created using hydraulic fracturing. In hydraulic fracturing, high fluid pressures are applied to confined zones in the subsurface usually using packers to fracture the host rock. This enhances r...
Hunt, J. et al Lawrence Livermore National Laboratory
Jan 31, 2013
2 Resources
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2 Resources
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Updated Overpressures and Permeability Values for PNNL's StimuFrac Fluid
A corrigendum was submitted to the journal of Geothermics on our article "Environmentally friendly, rheoreversible, hydraulic-fracturing fluids for enhanced geothermal systems" Shao et al Geothermics 58 (2015) 22-31.
In the original article some permeability values were underesti...
Shao, H. et al Pacific Northwest National Laboratory
Apr 06, 2016
1 Resources
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1 Resources
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Utah FORGE Phase 3A, Year 2, Annual Report
This is the annual report for Utah FORGE Phase 3A, year two, which was published on July 28th, 2022. The report includes site infrastructure, site operations, seismic monitoring reports, FORGE modeling reports, and external research and design. The ultimate objective of Utah FORGE...
Moore, J. et al Energy and Geoscience Institute at the University of Utah
Jul 29, 2022
1 Resources
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1 Resources
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Sedimentary Geothermal Feasibility in Nevada, Western Utah, Colorado, and the Gulf Coast Region of Texas Final Report
The objectives of this project were to (1) perform a literature review of sedimentary geothermal resources, (2) identify data sources and develop data-collection methodologies that characterize selected resources, (3) screen sedimentary basins and formations for sedimentary geothe...
Johnston, H. et al National Renewable Energy Laboratory
Jul 01, 2020
1 Resources
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1 Resources
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EGS Collab Experiment 2: Earth Model Datasets
The EGS Collab Project performed a series of tests to increase the understanding the response of crystalline rock mass to stimulations and fluid circulation to efficiently implement enhanced geothermal systems (EGS) technologies. The EGS Collab team created two underground testbed...
Neupane, G. et al Idaho National Laboratory
May 29, 2022
6 Resources
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6 Resources
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CO2 Push-Pull Single Fault Injection Simulations
ASCII text files containing grid-block name, X-Y-Z location, and multiple parameters from TOUGH2 simulation output of CO2 injection into an idealized single fault representing a dipping normal fault at the Desert Peak geothermal field (readable by GMS). The fault is composed of a ...
Borgia, A. et al Lawrence Berkeley National Laboratory
Sep 21, 2017
5 Resources
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5 Resources
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Newberry EGS Demonstration Report: Stimulating the Existing Fracture Network
The Newberry Volcano EGS Demonstration in central Oregon, a 3 year project started in 2010, tests recent technological advances designed to reduce the cost of power generated by EGS in a hot, dry well (NWG 55-29) drilled in 2008. First, the stimulation pumps used were designed to ...
Cladouhos, T. et al AltaRock Energy Inc
Mar 10, 2014
1 Resources
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1 Resources
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Chemical Impact of Elevated CO2 on Geothermal Energy Production
Numerical simulations have shown that the use of supercritical CO2 instead of water as a heat transfer fluid yields significantly greater heat extraction rates for geothermal energy. If this technology is implemented successfully, it could increase geothermal energy production and...
Carroll, S. et al Lawrence Livermore National Laboratory
Jan 01, 2013
3 Resources
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3 Resources
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Utah FORGE: Discrete Fracture Network and Fracture Propagation Modelling
Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency at the Utah Forge Site
Sharma, M. and Cao, M. University of Texas
Feb 07, 2023
1 Resources
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1 Resources
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GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results
This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...
Geothermal Technologies Office, U. National Renewable Energy Laboratory
Sep 30, 2019
16 Resources
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16 Resources
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Characterizing favourable structural settings of geothermal reservoirs in extensional regions: Enhanced exploration strategies
Exploration of geothermal systems is commonly hampered by the risk of unsuccessful drilling. A major problem in selecting well sites is that the favorable settings of known systems are generally not adequately characterized. This is particularly important in amagmatic regions, wh...
Faulds, J. et al University of Nevada
Nov 30, 2010
1 Resources
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1 Resources
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Utah FORGE Project 2439: Machine Learning for Well 16A(78)-32 Stress Predictions
This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were developed for the prediction of vertical and two orthogonally oriented horizontal str...
Kelley, M. et al Battelle Memorial Institute
Jun 19, 2023
1 Resources
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1 Resources
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Dixie Valley Engineered Geothermal System Exploration Methodology Project, Baseline Conceptual Model Report
The Engineered Geothermal System (EGS) Exploration Methodology Project is developing an exploration approach for EGS through the integration of geoscientific data. The Project chose the Dixie Valley Geothermal System in Nevada as a field laboratory site for methodlogy calibration...
Iovenitti, J. AltaRock Energy Inc
May 15, 2013
2 Resources
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2 Resources
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