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EGS Collab Experiment 1: SIMFIP Notch-164 GRL Paper

Characterizing the stimulation mode of a fracture is critical to assess the hydraulic efficiency and the seismic risk related to deep fluid manipulations. We have monitored the three-dimensional displacements of a fluid-driven fracture during water injections in a borehole at ~1.5...

Guglielmi, Y. Lawrence Berkeley National Laboratory

Sep 24, 2020
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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: Stress Logging Data

This spreadsheet consist of data and graphs from deep well 58-32 stress testing from 6900 7500 ft depth. Measured stress data were used to correct logging predictions of in situ stress. Stress plots shows pore pressure (measured during the injection testing), the total vertical in...

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

Mar 14, 2018
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EGS Collab Experiment 1: Wireline Geophysical Well Logs

This is the full wireline geophysical datasets for characterization of the EGS Collab Experiment #1 testbed on the 4850 level. A metadata file is included within the dataset explaining the logs, fracture picks, etc. Eight boreholes were drilled for this testbed and each one was lo...

Schwering, P. Lawrence Berkeley National Laboratory

Jan 08, 2018
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Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. Th...

Smith, J. and Beckers, K. Cornell University

Oct 29, 2019
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Caldwell Ranch Exploration and Confirmation Project, Northwest Geysers, CA: 2011 Geothermal Technologies Peer Review Project Summary

Caldwell Ranch Exploration and Confirmation Project, Northwest Geysers, CA: 2011 Geothermal Technologies Peer Review Project Summary The Caldwell Ranch Exploration and Confirmation Project was to drill, test, and confirm the present economic viability of the undeveloped geothermal...

Walters, M. Geysers Power Company, LLC

Jan 01, 2011
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Geologic Map of the Neal Hot Springs Geothermal Area GIS Data

Neal Hot Springs-ESRI Geodatabase (ArcGeology v1.3): Contains all the geologic map data, including faults, contacts, folds, unit polygons, and attitudes of strata and faults. List of stratigraphic units and stratigraphic correlation diagram. Three cross-sections. Locations of ...

E., J. University of Nevada

Mar 31, 2013
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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
2 Resources
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3D Model of the San Emidio Geothermal Area

The San Emidio geothermal system is characterized by a left-step in a west-dipping normal fault system that bounds the western side of the Lake Range. The 3D geologic model consists of 5 geologic units and 55 faults. Overlying Jurrassic-Triassic metasedimentary basement is a ~500 ...

E., J. University of Nevada

Dec 31, 2013
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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
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Altona Field Lab Inverse Model WRR 2020

Includes data for measured inert tracer breakthrough curves first reported in Hawkins (2020) (Water Resources Research). In addition, this submission includes the production well temperature measurements first reported in Hawkins et al. (2017a) (Water Resources Research, volume 53...

Tester, J. Cornell University

Jan 01, 2015
3 Resources
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Utah FORGE: QuantumPro Well 16A(78)-32 and 16B(78)-32 Stimulation and Circulation Tracer Test Results 2024

This dataset includes results and supporting documentation from tracer tests conducted in 2024 at Utah FORGE. The tests involved injecting nanoparticle tracers into injection well 16A(78)-32 and monitoring their recovery in production well 16B(78)-32 to assess hydraulic connectivi...

Guo, Q. et al QuantumPro Inc.

Jan 07, 1970
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Utah FORGE: Well 58-32 Core Analyses

This dataset contains final reports regarding stress measurements, permeability measurements, and mechanical properties from the core testing of well 58-32, in PDF format, and spreadsheets containing tables from the reports as part of Utah FORGE Phase 2B. Please refer to the repor...

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

May 30, 2018
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Utah FORGE 2-2446: Closing the Loop Between In-Situ Stress Complexity and EGS Fracture Complexity 2024 Annual Workshop Presentation

This is a presentation on Closing the Loop Between In-Situ Stress Complexity and EGS Fracture Complexity by Lawrence Livermore National Laboratory, presented by Matteo Cusini. The video discusses the combination of high-fidelity simulations and true-triaxial block fracturing tests...

Cusini, M. et al Energy and Geoscience Institute at the University of Utah

Aug 26, 2024
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Utah FORGE: 16B(78)-32 RFS DSS Strain Change Rate vs. Depth During 16A(78)-32 Stimulation

This dataset contains strain change rate versus depth data acquired using a Rayleigh frequency shift (RFS) distributed strain sensing (DSS) system during hydraulic stimulation of well 16A(78)-32 at the Utah FORGE site in April 2024. The data were collected from an optical fiber in...

Jurick, D. et al Neubrex Energy Services (US), LLC

Mar 02, 2025
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Fallon FORGE: Distinct Element Reservoir Modeling

Archive containing input/output data for distinct element reservoir modeling for Fallon FORGE. Models created using 3DEC, InSite, and in-house Python algorithms (ITASCA). List of archived files follows; please see 'Modeling Metadata.pdf' (included as a resource below) for addition...

Blankenship, D. et al Sandia National Laboratories

Mar 12, 2018
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Utah FORGE 5-2557: Fluid and Temperature in Fracture Mechanics and Coupled THMC Processes Workshop Presentation

This is a presentation on the Role of Fluid and Temperature in Fracture Mechanics and Coupled Thermo-Hydro-Mechanical-Chemical (THMC) Processes for Enhanced Geothermal Systems project by Purdue University, presented by Distinguished Professor of Physics & Astronomy, Laura J. Pyrak...

Pyrak-Nolte, L. Purdue University

Sep 08, 2023
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Utah FORGE 1-2551: Development of a Multi-Stage Fracturing System and Wellbore Tractor 2024 Annual Workshop Presentation

This is a presentation on the Development of a Multi-Stage Fracturing System and Wellbore Tractor by Colorado School of Mines, presented by William Fleckenstein. This video describes (1) the development and use of a low-cost and rapid multistage fracture stimulation technology wit...

Fleckenstein, W. Energy and Geoscience Institute at the University of Utah

Jan 13, 1970
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Utah FORGE: 2023 Phase 3B Year 1 Annual Report

This report discusses the objectives, goals, accomplishments and results of Phase 3B Year 1 of the Utah FORGE project. The report includes infrastructure, seismic monitoring, modelling, external R&D, communications and outreach, data produced, lessons learned, conclusions, and pla...

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

Aug 09, 2023
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Newberry EGS Demonstration: Stimulating the Existing Fracture Network Report

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
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Utah FORGE 3-2417: Fiber-Optic Geophysical Monitoring of Reservoir Evolution Workshop Presentation

This is a presentation on the Fiber-Optic Geophysical Monitoring of Reservoir Evolution at the Utah FORGE Milford Site project by Rice University, presented by Prof. Jonathan Ajo-Franklin. The project's objective was to develop an end-to-end fiber-optic sensing approach for EGS to...

Ajo-Franklin, J. et al Rice University

Sep 08, 2023
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Utah FORGE: Well 16A(78)-32 Core Analysis Results

This dataset features petrographic, X-Ray Diffraction (XRD), and Scanning Electron Microscopy Analyses of core samples from well 16A(78)-32, which serves as the injection well for the Utah FORGE Enhanced Geothermal System (EGS) project. In addition to an overview of the analysis,...

Jones, C. et al Energy and Geoscience Institute at the University of Utah

Sep 22, 2023
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STRESSINVERSE Software for Stress Inversion

The STRESSINVERSE code uses an iterative method to find the nodal planes most consistent with the stress field given fault frictional properties. STRESINVERSE inverts the strike, rake and dip from moment tensor solutions for the in-situ state of stress. The code iteratively solves...

Gritto, R. Array Information Technology

Oct 31, 2018
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EGS-Collab Experiment 1: Time-lapse ERT Data and E4D Inversion Files for 10-24-2018 through 11-07-2018 Flow Test

This data submission includes the raw time-lapse ERT (electrical resistivity tomography) monitoring data, flow system data, operator logs, E4D (https://e4d.pnnl.gov) inversion files, and metadata necessary to reproduce the 4D ERT inversion for the Oct. 24 through Nov. 7 2018 post-...

Johnson, T. Pacific Northwest National Laboratory

Jul 30, 2021
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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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