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Utah FORGE: LBNL Status Report on the VEMP Tool 2022

This report describes the current status of the Vertical Electromagnetic Profiling, or VEMP tool, that is on loan to Lawrence Berkeley National Lab (LBNL) from Geothermal Energy Research and Development Co., Ltd. (GERD), Japan. The report describes the initial inspection of the to...

Wilt, M. et al Lawrence Berkeley National Laboratory

Jun 24, 2022
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Utah FORGE: Evaluation of Potential Geochemical Responses to Injection in the FORGE Geothermal Reservoir

Plugging of fracture porosity from mineral precipitation due to injecting cold water into a a geothermal reservoir can impact the overall permeability of the fracture network in the reservoir. This can have serious ramifications on the efficiency of the geothermal resource. Geoche...

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

Apr 03, 2019
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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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Utah FORGE 2-2439: A Multi-Component Approach to Characterizing In-Situ Stress: Laboratory, Modeling and Field Measurement Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the U.S DOE FORGE EGS Site: Laboratory, Modeling and Field Measurement project by Battelle [Columbus, OH], presented by Mark Kelley. The project's objective was to characterize stress in the U...

Kelley, M. and Bunger, A. Battelle Memorial Institute

Sep 08, 2023
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Utah FORGE 2-2439v2: Characterizing In-Situ Stress with Laboratory Modelling and Field Measurements 2024 Annual Workshop Presentation

This is a presentation on A Multi-Component Approach to Characterizing In-Situ Stress at the Utah FORGE Site: Laboratory Modelling and Field Measurements project by The University of Pittsburgh, presented by Andrew Bunger. The project characterizes the stress in the Utah FORGE EGS...

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

Sep 04, 2024
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Utah FORGE: Well 16A(78)-32 Stimulation DFN Fracture Plane Evaluation and Data

This dataset includes files used to fit planar fractures through the preliminary earthquake catalogs of the three stages of the April 2022 well 16A(78)-32 stimulation which is linked bellow. These planar features have been used to update the FORGE reference Discrete Fracture Netwo...

Finnila, A. WSP Golder

Oct 27, 2022
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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
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Utah FORGE: Sanvean Technologies Drilling Data from Well 16B(78)-32

Included here is Sanvean Technologies bit sensor data amalgamated with data from National Oilwell Varco's (NOV) BlackBox tool for Reed Hycalog bits used during drilling of Well 16B(78)-32. The dataset contains information collected at the bit while drilling including rate of penet...

Barker, C. Energy and Geoscience Institute at the University of Utah

Oct 26, 2023
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Utah FORGE: 2023 Induced Seismicity Mitigation Plan

This is the updated Utah FORGE Phase 3B induced seismicity mitigation plan (ISMP) covering the general Utah FORGE area. This new version incorporates newly collected seismic data, including data collected during the 2022 stimulation and a probabilistic seismic hazard assessment (...

Pankow, K. et al University of Utah Seismograph Stations

Aug 09, 2023
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Utah FORGE: LBNL Status Report on the VEMP Tool 2024

This report describes the modifications made to the Vertical Electromagnetic Profiling (VEMP) borehole tool, currently on loan to Lawrence Berkeley National Laboratory (LBNL) from Japan's Geothermal Energy Research and Development Co., Ltd. (GERD), during its refurbishment. It inc...

Wilt, M. et al Lawrence Berkeley National Laboratory

Feb 16, 2024
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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
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Utah FORGE 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
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Utah FORGE: Well 58-32 Schlumberger FMI Logs DLIS and XML files

This zipped data set includes Schlumberger FMI logs DLIS and XML files from Utah FORGE deep well 58-32. These include runs 1 (2226-7550 ft) and 2 (7440-7550 ft). Run 3 (7390-7527ft) was acquired during phase 2C.

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

Nov 17, 2017
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Cape EGS: Frisco Pad Wells Flow Test Microseismic Data

This dataset contains microseismic data acquired during the Frisco pad flow test project led by Fervo Energy, conducted between July 17th Aug 12th 2024, near the Utah FORGE geothermal site. The microseismic data was collected from various Utah FORGE wells: via Distributed Acoustic...

Dadi, S. and Kanu, O. Fervo Energy

Nov 06, 2024
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Utah FORGE 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
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Utah FORGE: GES Well 16A(78)-32 and Well 16B(78)-32 Stimulation Seismic Event Catalogs

This dataset contains seismic event catalogs from the hydraulic stimulation of wells 16A(78)-32 and 16B(78)-32 at the Utah FORGE site in April 2024. The data was collected by Geo Energy Suisse (GES) using a variety of seismic monitoring technologies, including 3-component (3C) geo...

Dyer, B. et al University of Utah Seismograph Stations

Apr 30, 2024
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Utah FORGE: Well 16B(78)-32 Logs from Schlumberger Technologies

This dataset is a collection of well logs provided by Schlumberger Technologies from the Utah FORGE well 16B(78)-32 drilling project. Information here includes critical borehole information collected by an ultrasonic borehole imager (UBI) and a fullbore formation microimager (FMI)...

May, D. and Jones, D. Energy and Geoscience Institute at the University of Utah

Sep 14, 2023
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Utah FORGE: Logs and Data from Deep Well 58-32 (MU-ESW1)

Data, logs, and graphics associated with the drilling and testing of Utah FORGE deep test well 58-32 (MU-ESW1) near Roosevelt Hot Springs.

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

Apr 11, 2018
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Utah FORGE 3-2535: Building a 3D Resistivity Model for Simulation and Survey Design of EM Measurements

The included report outlines the creation of three 3D resistivity models that will be used to determine the sensitivity of EM measurements for the hypothetical stimulated reservoir at FORGE as well as for EM survey design. FORGE project 3-2535 is planning on using a casing source ...

Alumbaugh, D. et al Lawrence Berkeley National Laboratory

Dec 01, 2022
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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...

Lu, G. et al University of Pittsburgh

Aug 30, 2024
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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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