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Utah FORGE 3-2535: Final Report on Joint Electromagnetic, Seismic, and InSAR Imaging of Fracture Growth During EGS Resource Development

May 30, 2025
2 MB
Publicly accessible
This dataset contains the final technical report for the project Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development, carried out from 2021 to 2025 by Lawrence Berkeley Natio...
Authors
Alumbaugh, D. Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsseismicelectromageneticgeodeticdistributed fiber-optic sensingdata acquisitiondata processingdata interpretationtechnical reportinsarfracture growthfracture propertiesgeophysicsgeomechanics

Utah FORGE 3-2535: Joint EM-Seismic-InSAR Imaging of Fracture Properties 2023 Annual Workshop Presentation

Sep 08, 2023
81.78 MB
Publicly accessible
This is a presentation on the Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development project by Lawrence Berkeley National Laboratory, presented by Dr. David Alumbaugh, Staff Sc...
Authors
Alumbaugh, D. Lawrence Berkeley National Laboratory
geothermalenergyannual workshop2023utah forgeegsem modelinginsarem data aquisitionpassive seismicactive source borehole emfracture generationfracture growthreservoir characterizationreservoir imagingworkflowsteel casingem surveyem data processingpresentation

Pressure-Temperature Simulation at Brady Hot Springs

Jul 11, 2017
2.96 MB
Publicly accessible
These files contain the output of a model calculation to simulate the pressure and temperature of fluid at Brady Hot Springs, Nevada, USA. The calculation couples the hydrologic flow (Darcy's Law) with simple thermodynamics. The epoch of validity is 24 March 2015. Coordinates are ...
Authors
Feigl, K. Temple University
geothermalenergyinsar-meqporotomoinsarmicroseismicitymeqmicroearthquakeseismicityinducedsimulationpressuretemperaturebradybrady hot springs

Utah FORGE 3-2535: Joint Imaging of Fracture Growth and Estimation of Fracture Properties During EGS Development 2024 Annual Workshop Presentation

Aug 25, 2024
68.88 MB
Publicly accessible
This is a presentation on the Joint Electromagnetic/Seismic/InSAR Imaging of Spatial-Temporal Fracture Growth and Estimation of Physical Fracture Properties During EGS Resource Development by Lawrence Berkeley National Laboratory, presented by David Alumbaugh. This is a video pres...
Authors
Alumbaugh, D. Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgevemp toolegsenhanced geothermal systemsinsarinduced fracturespassive seismicemvertical electromagnetic profilingthmceletromagneticlbnllawrence berkley national laboratory

Utah FORGE 3-2535: Report on Geodetic Observations of Fracture Development During April 2024 Stimulations

Apr 28, 2025
1.29 MB
Publicly accessible
This report presents geodetic observations from the April 2024 stimulations at the Utah FORGE site, as part of LBNL FORGE Project 3-2535. It focuses on Distributed Strain Sensing (DSS) data from an optical fiber in well 16B, capturing localized strain linked to fracture propagatio...
Authors
Vasco, D. et al Lawrence Berkeley National Laboratory
geothermalenergyutah forgeegsdistributed strain sensingdssfiber-optic sensingmicroseismicityfracture stimulationgeodetic monitoringinsarsubsurface deformationhydraulic fracturingseismicityfracture modelingreservoir characterizationtechnical reportprocessed dataapril 2024stimulation

Brady 1D Seismic Velocity Model Ambient Noise Prelim

Oct 25, 2013
0.97 kB
Publicly accessible
Preliminary 1D seismic velocity model derived from ambient noise correlation. 28 Green's functions filtered between 4-10 Hz for Vp, Vs, and Qs were calculated. 1D model estimated for each path. The final model is a median of the individual models. Resolution is best for the top 1 ...
Authors
J., R. Lawrence Livermore National Laboratory
seismicvelocity modelbradysseismic velocitygeothermalnevada

Exploration Best Practices on OpenEI

Sep 20, 2013
63.84 kB
Publicly accessible
This is an electronic database detailing different types of, various phases of, best practices for, and cost and time associated with geothermal exploration techniques. The groups of exploration techniques included in the database are Data and Modeling Techniques, Downhole Techniq...
Authors
Young, K. National Renewable Energy Laboratory
geothermalexplorationgeophysicsopeneiremote sensingconceptual modelsexploration costsbest practicesloggingdrillinggeochemistryresistivity surveymt surveyelectromagnetic surveygravityseismicisotopelidarhyperspectralmultispectralswirflirinsarsarreflectionrefractonmagneticsdc resistivity2-m probewell loggingdatabase link

Brady Geothermal 1D Seismic Velocity Model

Feb 17, 2015
90.17 kB
Publicly accessible
This submission contains an ASCII text file of seismic velocities derived from ambient noise cross-correlation used to create a model of seismic velocity as a 1-D function of depth in addition to a quarterly report describing the creation and use of the model. Model uses 28 Green'...
Authors
Matzel, E. Lawrence Livermore National Laboratory
geothermalseismic velocity modelinsarambient noisebrady geothermal seismic modelseismicseismic velocity1d

Utah FORGE: Phase 2C Topical Report

Dec 11, 2019
147.81 MB
Publicly accessible
This is the topical report that wraps up the work and results achieved during Utah FORGE Phase 2C. The zip file includes several folders containing (1) an overview; (2) the results; (3) the lessons learned; and (4) the conclusions. It also contains a folder containing appendices i...
Authors
Moore, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyforgeutah forgeutah forge phase 2c reportphase 2c topical reportutah forge phase 2cegsmoderate rate injection testsmicroseismicdistributed acoustic sensingdasseismic reflection surveygravity measurementsinsarstimulatednumerical reservoir modelsalluvium-granitoidinjection testingmilfordroosevelt hot springsoverviewresultslessonslearnedconclusionspermittingcharacterizationsitedata inventoryconceptualgeologicmodelgeophysicsseismicgravitygeologyfeasibilitytechnicalinjection testmicroseismicityremote sensingmodelingstimulation

Appendices for Geothermal Exploration Artificial Intelligence Report

Jan 08, 2021
2.76 GB
Publicly accessible
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Authors
Duzgun, H. et al Colorado School of Mines
geothermalenergyartificial intelligencehydrothermally altered mineralsmineral markerssvmgeodatabasewellfaultseismicaiborderbradydesert peaksalton sealand surface temperaturedeformationgeophysicalgeophysicssupport vector machinehyperspectralhyperspectral imagingcalifornianevadaegsblindblind systemdeep learningmachine learningexplorationgeospatial datashort wavelength infraredswirdatabaseanomaly detectionsite detectionradarhydrothermalmodelconceptual modelzoteroraw datapreproccessedprocessed dataenhanced geothermal systemengineered geothermal systemremote sensingarcgisgisinsarmorphologymorphologicalmorphological featurestirvnirvisible near infraredthermal infraredcodepython
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