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EGS Collab: 3D Geophysical Model Around the Sanford Underground Research Facility

This package contains data associated with a proceedings paper (linked below) submitted to the 44th Workshop on Geothermal Reservoir Engineering. The Geophysical Model text file contains density, P and S-wave seismic speeds on a 3D grid. The file has six columns and provides latit...

Chai, C. et al Lawrence Berkeley National Laboratory

Feb 06, 2019
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EGS Collab Experiment 2: 4100 Foot Level Elastic Property Data

Static and dynamic elastic properties (Young's modulus, Shear Modulus, P-wave Modulus, and Poisson's Ratio) of amphibolites and rhyolites from the TV4100 and TH4100 boreholes at the Sanford Underground Research Laboratory (SURF). Elastic properties include Young's modulus, Poisson...

Jahnke, B. et al Lawrence Berkeley National Laboratory

Dec 18, 2020
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Directional Cooling-Induced Fracturing Westerly Granite Test Results

Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on a short, cylindrical sample of Westerly granite (diameter = 4 inches, height ~ 2 inches). Liquid nitrogen was poured in a copper cup attached to the top of the sample, and the resulting acoustic emissions ...

Nakagawa, S. Lawrence Berkeley National Laboratory

Dec 18, 2020
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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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Utah FORGE Project 3-2535: Modeling Studies of Energized Steel-Casing Source EM Method for Detecting Stimulated Zone

Numerical modeling Studies for electromagnetic (EM) Data Acquisition Survey Design this milestone report describes the 3D modeling studies of energized steel-casing source electromagnetic method for detecting stimulated zone at the Utah FORGE Site. FORGE project 3-2535 is planning...

Um, E. et al Lawrence Berkeley National Laboratory

Feb 06, 2023
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Utah FORGE Project 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 Project 3-2535: Numerical Modeling of Energized Steel-Casing Source for Imaging Stimulated Zone

This short report details and tests the workflow that will be used to simulate steel well casings in deviated production/extraction boreholes at at the Utah FORGE site. Boreholes will be electrically energized and will serve as data sources for future proposed electromagnetic bore...

Um, E. et al Lawrence Berkeley National Laboratory

Nov 15, 2022
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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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Utah FORGE Project 3-2535: Compilation of Geodetic Data and Estimation of Associated Deformation

Report on possible geodetic signature of the 3 stimulations in April 2022 as well as a comparison with existing InSAR data gathered over the site before, during, and after the stimulation. In geothermal production it is important to understand the existing stress field and the cha...

Vasco, D. et al Lawrence Berkeley National Laboratory

Apr 29, 2022
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S-Layer Nanosheet Binding of Zn and Gd

This data characterizes binding of Zn2+ and Gd3+ to engineered nanosheets at 40C and in a brine solution. The engineered nanosheets are composed of surface-layer (S-layer) proteins which form 2 D crystalline sheets and display Zn2+ or Gd3+-binding domains on these sheets. Their ab...

Ajo-Franklin, C. et al Lawrence Berkeley National Laboratory

Apr 15, 2016
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Fine Scale Stress Test Modelling

Mesh, properties, initial conditions, injection/withdrawal rates for modelling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, fo...

Smith, J. et al Lawrence Berkeley National Laboratory

Feb 22, 2021
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Large Scale Grid

Mesh, properties, initial conditions, injection/withdrawal rates for modeling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, on ...

Smith, J. et al Lawrence Berkeley National Laboratory

Feb 26, 2021
15 Resources
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Community Resilience through Low-Temperature Geothermal Reservoir Thermal Energy Storage

Submitted data include simulations related to underground thermal battery (UTB) simulations described in Modeling and efficiency study of large scale underground thermal battery deployment, presented at GRC, October 2021. The UTB is comprised of a tank of water, a helical heat ex...

Nico, P. et al Lawrence Berkeley National Laboratory

Jan 29, 2022
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DCIF (Directional Cooling-Induced Fracturing) Westerly Granite AE Borehole Damage Effect Test (Task 3-0)

Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on three rectangular Westerly granite blocks (width=depth=4.0", height=2.0") which were preheated to 200, 400, and 600 degree C to induce damage (microcracks) with varying degrees. Liquid nitrogen was poured...

Nakagawa, S. Lawrence Berkeley National Laboratory

Jan 27, 2022
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Helium isotope study of Geothermal Features in Chile with Field and Laboratory Data

Helium isotope and stable isotope data from the El Tatio, Tinginguirica, Chillan, and Tolhuaca geothermal systems, Chile. Data from this submission are discussed in: Dobson, P.F., Kennedy, B.M., Reich, M., Sanchez, P., and Morata, D. (2013) Effects of volcanism, crustal thickness,...

Dobson, P. et al Lawrence Berkeley National Laboratory

Feb 11, 2013
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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
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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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WISE-CASING: Surface Seismic Survey at Cymric Field, California Central Valley

This test was conducted at the Chevron Cymric oilfield in the California central valley near Bakersfield. A reflected seismic signal was observed in all three components (x, y, z) of the 3-component Episensor geophone, as well as all phones on the single component array. The arriv...

Wu, Y. et al Lawrence Berkeley National Laboratory

Apr 02, 2018
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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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