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Bradys Hot Springs Ambient Noise Correlation Functions (Initial Waveforms)
These files are ambient noise correlation (ANC) functions calculated for 11 days of continuous seismic data recorded by the Lawrence Berkeley network in the Brady geothermal field. These are SAC formatted seismic waveforms. The stations included are BPB04, BPB05, BPB07, BPB08, BP...
Matzel, E. Lawrence Livermore National Laboratory
Jul 01, 2015
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1 Resources
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Simulating Complex Fracture Systems in Geothermal Reservoirs Using an Explicitly Coupled Hydro-Geomechanical Model
Low permeability geothermal reservoirs can be stimulated by hydraulic fracturing to create Enhanced (or Engineered) Geothermal Systems (EGS) with higher permeability and improved heat transfer to increase heat production. In this paper, we document our effort to develop a numerica...
Carrigan, C. et al Lawrence Livermore National Laboratory
Jan 01, 2011
2 Resources
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2 Resources
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Utah FORGE: 2024 Stimulations Microseismic Event Catalog from Seismic Surface Network
This archive provides a a link to a microseismic event catalog of the 2024 stimulations at Utah FORGE. The catalog was derived from data collected with the surface monitoring network consisting of 5 permanent seismic stations deployed by the University of Utah Seismograph Station...
Niemz, P. et al University of Utah Seismograph Stations
Jul 29, 2024
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2 Resources
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Utah FORGE: 2022 Seismic Workshop Report
Utah FORGE held a two-day seismic workshop on the University of Utah campus in Salt Lake City, Utah on September 26 and 27, 2022 to share what was learned from the seismic monitoring during the 2022 stimulation. This is a report documenting this workshop. The meeting was structure...
Pankow, K. University of Utah Seismograph Stations
Dec 19, 2022
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Washington State Play Fairway Analysis Passive Monitoring of St. Helens Shear Zone for Tomography and Precision Microseismic Event Detection
Data resources were derived from a passive seismic survey of the northern St. Helens Shear Zone on geothermal leases 12-24 km north of Mount St. Helens for phase 2 of the Geothermal Play-Fairway Analysis of Washington State Prospects. A 20 seismic station array of broadband seismo...
Swyer, M. et al AltaRock Energy Inc
Oct 03, 2017
7 Resources
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7 Resources
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Utah FORGE: Documentation on Discrete Fracture Network and Fracture Propagation Modelling
This dataset includes reports and a slide presentation on discrete fracture network (DFN) generation and hydraulic fracture modeling at the Utah FORGE site. It details the characterization of natural fractures using well log and core data, as well as stochastic modeling techniques...
Sharma, M. and Cao, M. University of Texas
Feb 07, 2023
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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Buster, G. et al Upflow
Jun 30, 2021
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11 Resources
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Using Fully Coupled Hydro-Geomechanical Numerical Test Bed to Study Reservoir Stimulation with Low Hydraulic Pressure
This paper documents our effort to use a fully coupled hydro-geomechanical numerical test bed to study using low hydraulic pressure to stimulate geothermal reservoirs with existing fracture network. In this low pressure stimulation strategy, fluid pressure is lower than the minimu...
Fu, P. et al Lawrence Livermore National Laboratory
Jan 31, 2012
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2 Resources
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Improved Microseismicity Detection During Newberry EGS Stimulations
Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Templeton, D. Lawrence Livermore National Laboratory
Oct 01, 2013
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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: Microseismic Surface Network Catalogs for Wells 16A(78)-32 and 16B(78)-32 Stimulation 2022 and Circulation 2023
This dataset includes microseismic surface network catalogs for Utah FORGE. Data were recorded during the stimulation of well 16A(78)-32 in 2022 and the circulation tests between wells 16A(78)-32 and 16B(78)-32 in 2023. Near-surface seismic monitoring during circulation experimen...
Niemz, P. et al University of Utah Seismograph Stations
Feb 09, 2024
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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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WISE-CASING: Time Domain Reflectometry Data from Cymric Field, CA
The objective of this field test is to validate several technologies for non-invasive well integrity assessment using existing wells with a known completion. The tests were made at the Cymric oil field, which is a steam flood operation. The wells therefore undergo similar downhole...
Wang, J. Lawrence Berkeley National Laboratory
Feb 21, 2019
5 Resources
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5 Resources
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Improved Microseismicity Detection During Newberry EGS Stimulations
Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are oft...
Templeton, D. Lawrence Livermore National Laboratory
Nov 01, 2013
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Python Codebase and Jupyter Notebooks Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada" project. This software is licensed as free to use, modify, a...
Brown, S. and Smith, C. Nevada Bureau of Mines and Geology
Jun 30, 2022
4 Resources
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4 Resources
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Utah FORGE 4-2492: Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery 2024 Annual Workshop Presentation
This is a presentation on the Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency by The University of Texas at Austin, presented by Mukul M. Sharma. This video slide presentation discusses the following objectives: (1) to place fr...
Sharma, M. Energy and Geoscience Institute at the University of Utah
Sep 16, 2024
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Tularosa Basin Play Fairway Analysis: Pleistocene Lake Otero
This submission includes a geotiff of the geographic extent of Pleistocene Lake Otero; which was used as apart of the groundwater composite risk segment in a Tularosa Basin Play Fairway Analysis.
Brandt, A. University of Utah
Nov 15, 2015
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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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Archuleta County CO Lineaments
This layer traces apparent topographic and air-photo lineaments in the area around Pagosa springs in Archuleta County, Colorado. It was made in order to identify possible fault and fracture systems that might be conduits for geothermal fluids.
Geothermal fluids commonly utilize fa...
E., R. Flint Geothermal, LLC
Jan 01, 2012
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Colorado Regional Faults
This layer contains the regional faults of Colorado. The geodatabase includes show faults throughout Colorado and can be accessed with a GIS software.
Hussein, K. Flint Geothermal, LLC
Feb 01, 2012
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2016 Passive Seismic Imaging of the Dixie Valley Geothermal Well Field for EGS Favorability and Fault Mapping
This submission provides reports on the results of seismic data analyses, statistical data sets of rock properties under the DVGWF, GIS data for new maps of EGS favorability, and a link to raw seismogram data archived by the IRIS-DMS.
Louie, J. et al University of Nevada, Reno
Nov 01, 2015
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7 Resources
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EGS Collab Experiment 2: Hydraulic Pressure Test Results
The EGS Collab experiment 2 was focused on testing shear stimulation techniques. Shear stimulation, in this case, means using hydraulic pressure to cause shear slip on preexisting fracture or fault planes such that the hydraulic conductivity of the fracture or fault increases. The...
Burghardt, J. et al Lawrence Berkeley National Laboratory
Feb 17, 2023
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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
17 Resources
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17 Resources
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West Flank Coso FORGE Digital Elevation Model and Geology Shapefiles
Geologic ArcGIS data of West Flank Coso, Ca FORGE site from a unpublished map by Rich Whitmarsh. The zip file includes a DEM, hillshade and four shapefiles of the general outlines of FORGE area.
Blankenship, D. Sandia National Laboratories
Dec 21, 2015
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Utah FORGE 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report
This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...
Mustafa, A. et al Battelle Memorial Institute
Sep 28, 2023
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3 Resources
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