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Utah FORGE: Stimulation Crosswell Strain Response Fiber Optic Monitoring Report April 2024

This report documents the use of fiber optic Rayleigh frequency shift (RFS) Distributed Strain Sensing (DSS), Distributed Temperature Sensing (DTS), and microseismic data recorded during the hydraulic fracture stimulation of well 16A(78)-32, as detected in the offset well 16B(78)-...

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

Apr 03, 2024
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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
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EGS Collab Experiment 2: Continuous Broadband Seismic Waveform Data

Two broadband seismometers were installed on the 4100 level and recorded for the duration of EGS Collab Experiment #2. Inspired by published data from similar instruments installed in the Aspo Hard Rock Lab, these long-period instruments aimed to measure the tilting of the drift i...

Rodriguez Tribaldos, V. Lawrence Berkeley National Laboratory

Sep 12, 2022
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Hydroshear Simulation Lab Test 2

This data file is for test 2. In this test a sample of granite with a pre-cut (man made fracture) is confined, heated and differential stress is applied. The max temperature in this this system development test is 95C. More test details can be found on the spreadsheets--note that ...

Bauer, S. Sandia National Laboratories

Aug 01, 2014
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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
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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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Dataset and SUTRA model used to evaluate Reservoirs for Thermal Energy Storage in the Portland Basin, Oregon.

This is a link to the open access, published dataset and modeling that supports a feasibility study of Reservoir Thermal Energy Storage (RTES) in the Portland Basin, Oregon, USA. Citation: Burns, E.R., 2020, SUTRA model used to evaluate Saline or Brackish Aquifers as Reservoirs f...

Bershaw, J. et al Portland State University

Jun 29, 2020
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Utah FORGE: Discrete Fracture Network (DFN) 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. and Podgorney, R. Golder Associates Inc.

Jun 24, 2020
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Thermal Drawdown Induced Flow Channeling in Fractured Geothermal Reservoirs: Rock Mechanics and Rock Engineering

We investigate the flow-channeling phenomenon caused by thermal drawdown in fractured geothermal reservoirs. A discrete fracture network-based, fully coupled thermal "hydrological" mechanical simulator is used to study the interactions between fluid flow, temperature change, and t...

Fu, P. et al Lawrence Livermore National Laboratory

Nov 15, 2015
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EGS Collab Experiment 1 Stimulation Data

Stimulation data from Experiment 1 of EGS Collab, which occurred on the 4850 ft level of the Sanford Underground Research Facility (SURF). A detailed description of the stimulation data is provided in the StimulationDataNotes.docx and is also available on the EGS Collab Wiki. A M...

Knox, H. et al Pacific Northwest National Laboratory

Aug 13, 2020
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Cape EGS: Frisco 2-P Well Stimulation Microseismic Data

This dataset contains microseismic data acquired during the Frisco 2-P well stimulation project led by Fervo Energy, conducted between June 1 and June 11, 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed ...

Dadi, S. and Titov, A. Fervo Energy

Sep 19, 2024
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Utah FORGE: 2019 ARMA Overview Slide Presentation

This is an overview presentation of the Utah FORGE project given by Joseph Moore, Ph.D., at the 2019 American Rock Mechanics Associate meeting. It details the state of the Utah FORGE project at on 8/17/2019.

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

Aug 17, 2019
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Utah FORGE: 2023 Large Upscaled Discrete Fracture Network Models

This dataset includes the data and a report on the large upscaled discrete fracture network modeling done for the Utah FORGE project in 2023. The FORGE modeling team is making five discrete fracture network (DFN) realizations of a large reservoir model available to researchers. Th...

Finnila, A. Energy and Geoscience Institute at the University of Utah

Oct 02, 2023
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StimuFrac Compressibility as a Function of CO2 Molar Fraction

Compressibility values were obtained in a range of pressures at 250degC by employing a fixed volume view cell completely filled with PAA aqueous solution and injecting CO2 at constant flow rate (0.3mL/min). Pressure increase as a function of supercritical CO2 (scCO2) mass fraction...

A., C. Pacific Northwest National Laboratory

Apr 29, 2016
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Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy. Objective and Purpose: Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS sys...

Norbeck, J. et al Fervo Energy

Feb 08, 2023
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Utah FORGE 3-2535: Report on Borehole EM Data Collection and Imaging with the VEMP Field System

This report outlines electromagnetic field measurements that were made after stimulation at Utah FORGE in May of 2024. The measurements involved lowering an electrode to ~3500' in well 16A to energize the steel casing as part of the electric source, with the return electrode locat...

Alumbaugh, D. et al Lawrence Berkeley National Laboratory

Sep 05, 2024
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Triggered MEQ Events on LBNL Permanent Seismic Array, Brady's EGS, March 2016

List of triggered events recorded on LBNL's permanent EGS seismic array at Brady's geothermal field. This submission also includes links to the NCEDC EGS Earthquake Catalog Search page and to the metadata for the seismic array installed at Brady's Geothermal Field.

Robertson, M. University of Wisconsin

Jun 01, 2016
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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
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Utah FORGE 9-3664: Development of Tagged Proppant for Conductivity Enhancement and Reservoir Characterization 2024 Annual Workshop Presentation

This is a presentation on the Development and Testing of Tagged Proppant for Fracture Conductivity Enhancement and Reservoir Characterization in EGS by The University of Oklahoma, presented by Ahmad Ghassemi. This slide presentation video discusses the development and testing of n...

Ghassemi, A. et al Energy and Geoscience Institute at the University of Utah

Sep 03, 2024
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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
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Utah FORGE: Seismic Risk Trafic Light System Version 2

The report outlines the updated Traffic Light System (TLS) for the Utah FORGE project, which aims to mitigate seismic risks associated with Enhanced Geothermal Systems (EGS) operations. It integrates lessons from past operations, including stimulation and circulation experiments a...

Pankow, K. et al University of Utah Seismograph Stations

Jan 24, 2025
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EGS Collab Experiment 1: Second Set Tracer Test Results

The EGS Collab project is developing ~10-20 m-scale field sites where fracture stimulation and flow models can be validated against controlled, small-scale, in-situ experiments. The first multi-well experimental site was established at the 4850 level in the Homestake Mine in Lead,...

Neupane, G. et al Idaho National Laboratory

Dec 19, 2019
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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
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Utah FORGE 4-2492: Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Workshop Presentation

This is a presentation on the Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency at the Utah FORGE Site project by The University of Texas at Austin, presented by Professor Mukul M. Sharma. The project's objectives were to place f...

Sharma, M. The University of Texas at Austin

Sep 08, 2023
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MT Data: Newberry 4D Monitoring EGS Project

This submission contains a link to the EDX Collaborative Workspace where the MT data collected in support of the DOE GTO 4D EGS monitoring project is stored. Daily production reports- Oregon State University (OSU) had 6 stations running continuously. --Dynamic survey map, KML f...

Rose, K. National Energy Technology Laboratory

Apr 12, 2016
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