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Utah FORGE: Triaxial Direct Shear Results
This submission contains a report and associated data from triaxial direct shear tests conducted by Los Alamos National Laboratory. The samples used were sourced from 16A(78)-32 well core. The primary objectives of this test were to determine the shear strength in both intact an...
Frash, L. et al Los Alamos National Laboratory
Aug 14, 2023
1 Resources
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1 Resources
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Stimulation at Desert Peak Modeling with the Coupled THM Code FEHM
Numerical modeling of the 2011 shear stimulation at the Desert Peak Well 27-15 using a coupled thermal-hydrological-mechanical simulator. This submission contains the finite element heat and mass transfer (FEHM) executable code for a 64-bit PC Windows-7 machine, and the input and ...
Kelkar, S. et al Los Alamos National Laboratory
Apr 30, 2013
1 Resources
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1 Resources
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Hydrogeologic Windows: Regional Signature Detection for Blind and Traditional Geothermal Play Fairways applied to Southwestern New Mexico
Final Report describing regional signature detection for blind and traditional play fairways as part of Phase I of New Mexico Play Fairway Analysis. This project seeks to reduce exploration risk and identify new prospective targets using available geologic, geochemical, and geophy...
Bielicki, J. et al Los Alamos National Laboratory
Oct 16, 2015
1 Resources
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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
2 Resources
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2 Resources
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GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico
Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information...
Vesselinov, V. Los Alamos National Laboratory
Mar 29, 2021
4 Resources
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4 Resources
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Utah FORGE 5-2428: Coupled Investigation of Fracture Permeability Impact on Reservoir Stress and Seismic Slip 2024 Annual Workshop Presentation
This is a presentation on the Coupled Investigation of Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior by Lawrence Livermore National Laboratory, presented by Kayla Kroll. This presentation addresses testing and modelling related to the dependency of EG...
Kroll, K. et al Energy and Geoscience Institute at the University of Utah
Aug 27, 2024
1 Resources
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1 Resources
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Utah FORGE 5-2428: Fracture Permeability Impact on Reservoir Stress and Seismic Slip Behavior Workshop Presentation
This is a presentation on the Fracture Permeability Impact on Seismic Slip Behavior project by Lawrence Livermore National Laboratory, presented by Dr. Kayla A. Kroll. The project's objective is to develop, apply and validate a holistic thermal, hydrologic, mechanical, and chemic...
Kroll, K. et al Lawrence Livermore National Laboratory
Sep 08, 2023
1 Resources
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1 Resources
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kISMET Final Report and Highlights
The files in this submission describes the results of a series of stress measurement and hydraulic fracturing experiments conducted at the Sanford Underground Research Facility (SURF) in Lead, SD. This report describes the accomplishments of the kISMET (permeability (k) and Induce...
Oldenburg, C. et al Lawrence Berkeley National Laboratory
Oct 31, 2016
2 Resources
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2 Resources
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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
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3 Resources
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Utah FORGE: Powder X-ray Diffraction Data from Well 16A(78)-32 Core
This dataset from Lawrence Livermore National Laboratory (LLNL) consists of four raw X-ray diffraction (XRD) scans and preliminary results of quantitative XRD analysis. The scanned samples were prepared from four subcores, which came from various depths of the FORGE well 16A(78)-3...
Kroll, K. et al Lawrence Livermore National Laboratory
Jul 27, 2023
1 Resources
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1 Resources
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EGS Collab: Modeling and Simulation Working Group Teleconference Series (129-130)
This submission contains the presentation slides and recordings from EGS Collab Modeling and Simulation Working Group (MSWG) teleconferences number 129 through 130. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field act...
White, M. et al Pacific Northwest National Laboratory
Jun 22, 2022
3 Resources
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3 Resources
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New Mexico Geothermal Play Fairway Analysis from LANL
This submission contains geospatial (GIS) data on water table gradient and depth, subcrop gravity and magnetic, propsectivity, heat flow, physiographic, boron and BHT for the Southwest New Mexico Geothermal Play Fairway Analysis by LANL Earth & Environmental Sciences.
GIS data is...
Kelley, R. Los Alamos National Laboratory
Oct 27, 2015
20 Resources
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20 Resources
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Siler, D. et al United States Geological Survey
Oct 01, 2021
6 Resources
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6 Resources
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Penn State Lab Testing Fluid-Rock Interaction in Geothermal Reservoirs
This project focused on assessment and discovery of fluid-rock interaction in geothermal reservoirs. We accomplished work in four main areas: 1) fracture formation and the relationship between fluid flow and shear failure, 2) assessment of fracture geometry and fluid permeability ...
Madara, B. et al Pennsylvania State University
Jan 01, 2018
5 Resources
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5 Resources
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EGS Collab: Modeling and Simulation Working Group Teleconference Series (99-128)
This submission contains the presentation slides and recordings from EGS Collab Modeling and Simulation Working Group (MSWG) teleconferences number 99 through 128. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field acti...
White, M. et al Pacific Northwest National Laboratory
Jun 07, 2022
31 Resources
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31 Resources
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EGS Collab Experiment 1: Microseismic Monitoring
The U.S. Department of Energy's Enhanced Geothermal System (EGS) Collab project aims to improve our understanding of hydraulic stimulations in crystalline rock for enhanced geothermal energy production through execution of intensely monitored meso-scale experiments. The first expe...
Schoenball, M. et al Lawrence Berkeley National Laboratory
Jul 29, 2019
46 Resources
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46 Resources
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Utah FORGE Project 2439: A Multi-Component Approach to Characterizing In-Situ Stress
Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...
Bunger, A. et al Battelle Memorial Institute
Dec 13, 2022
4 Resources
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4 Resources
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EGS Collab Experiment 1: Core Logs
Core logs from the EGS Collab project Experiment 1 for the stimulation (Injection) well (E1-I), the Production well (E1-P), and monitoring wells (E1-OT, E1-OB, E1-PST, E1-PSB, E1-PDT, and E1-PDB) on the 4850 Level of SURF (the Sanford Underground Research Facility), single PDF fil...
Dobson, P. et al Lawrence Berkeley National Laboratory
Apr 02, 2019
17 Resources
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17 Resources
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EGS Collab: Modeling and Simulation Working Group Teleconference Series (1-98)
This submission contains the presentation slides and recordings from the first 98 EGS Collab Modeling and Simulation Working Group teleconferences. These teleconferences served three objectives for the project: 1) share simulation results, 2) communicate field activities and resul...
White, M. et al Pacific Northwest National Laboratory
Feb 04, 2020
100 Resources
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100 Resources
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DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
4 Resources
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4 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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Newberry Caldera Conceptual Geologic Model
Conceptual model for the Newberry Caldera geothermal area. Model is centered around caldera and evaluates geologic information in tandem with some geophysical datasets to derive a conceptual subsurface model.
Includes:
Geologic information from the USGS geologic map of Newberry...
Moser, M. et al National Energy Technology Laboratory
Mar 04, 2016
1 Resources
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Newberry Caldera Conceptual Geophysical Model
Conceptual model for the Newberry Caldera geothermal area. Model is centered around caldera and evaluates multiple geophysical datasets to derive a conceptual subsurface model.
Includes:
Conductor layer based on transient electromagnetic data from Fitterman et al., 1988 (figure...
Moser, M. et al National Energy Technology Laboratory
Mar 04, 2016
1 Resources
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1 Resources
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CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations
This submission contains datasets and a final manuscript associated with a project simulating carbon dioxide push-pull into a conjugate fault system modeled after Dixie Valley-
sensitivity analysis of significant parameters and uncertainty prediction by data-worth analysis.
Datas...
Oldenburg, C. et al Lawrence Berkeley National Laboratory
Jul 20, 2017
2 Resources
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2 Resources
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Technoeconomics of Transported Geothermal Energy
This data set was used to calculate the technical potential and economic feasibility of transported geothermal energy, according to the methodology outlined in the final report included below.
Liu, X. et al Oak Ridge National Laboratory
Aug 10, 2016
2 Resources
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2 Resources
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