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DCIF Westerly Granite AE Stress Effect Test (Task 3-1)

Jul 08, 2021
216.62 MB
Publicly accessible
Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on rectangular Westerly granite blocks (width=depth=4.0", height=2.0"). Liquid nitrogen was poured in a small, 1"-diameter copper cup attached to the top of the sample, and the resulting acoustic emissions (A...
Authors
Nakagawa, S. and Trzeciak, M. Lawrence Berkeley National Laboratory
geothermalenergythermal fracturingstress measurementfracturingprocessed datageophysicsstress testinggranitewesterly granitestressmicrofracturefracturedatatemperatureacoustic emissionacoustic emission locationacoustic emission rate

Brady's Geothermal Field Nodal Seismometer Data

Mar 30, 2016
2.2 TB
Publicly accessible
This submission includes links to raw data, field notes, metadata, and p-wave arrival auto-picks from processed data (not provided) from the nodal seismometer array deployed at the PoroTomo Natural Laboratory in Brady's Hot Springs, Nevada during the March 2016 testing. The data i...
Authors
Parker, L. University of Wisconsin
geothermalbrady hot springs geothermal fieldnevadaactive source seismicsswept-frequency sourcebradybradys hot springsporotomop-wavearrivalvibroseissweepfield notesmetadataarraynodal seismometergeophysicsgeophysicalsurvey

EGS Collab Experiment 1: Microseismic Monitoring

Jul 29, 2019
2.83 TB
Publicly accessible
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...
Authors
Schoenball, M. et al Lawrence Berkeley National Laboratory
geothermalenergyegs collabsurfhydraulicfracturingstimulationsanford underground research facilityexperimentegsmicroseismic monitoringmeso-scale stimulationssandford underground researchmesoscale experimentscrystalline rock3d sensorleadsouth dakotasta/lta triggering algorithmmicroseismicitycatalograw dataprocessed databinary file interpreterpythongeospatial data

Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

Oct 01, 2021
5.68 MB
Publicly accessible
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...
Authors
Siler, D. et al United States Geological Survey
geothermalenergynmfkbrady hot springsmachine learningmlbhsnonnegative matrix factorization k-meanshydrothermalbradyk-meansclusteringnonnegative matrix factorizationmatrix factorizationgeothermalcloudsmarttensorsunsupervised3d well data3d geologic mapgeologic structurefaultsstressgeologycharacterizationgeologic modelproductioncode

Lost Circulation Materials in Geothermal Drilling: Thermal Degradation, Viscosity, Compression, and Flow Loop Tests

Feb 01, 2022
2.29 GB
Publicly accessible
This dataset provides a set of experimental data on the performance of lost circulation materials (LCMs) used in geothermal drilling operations. It includes results from four distinct tests: thermal degradation, viscosity measurements, compression tests, and high-temperature flow ...
Authors
Kibikas, W. et al Sandia National Laboratories
geothermalenergylost circulation materialslcmgeothermal drillingdrillingraw dataprocessed datamass loss measurementslost circulation managementdegradationthermal degradationdegradation patternrheologyfluiddrilliing fluidhigh temperatureflow testcompression testflow loop testsealingviscosity measurements

Utah FORGE: Well 16A(78)-32 Drilling Data

Jan 08, 2021
2.57 GB
Publicly accessible
This dataset includes survey data, drilling data, daily reports, summaries of daily operations, and rig photos from the drilling of Utah FORGE well 16A(78)-32, which is a highly deviated deep well. It was completed 60 days ahead of schedule. Rig move in began 10/22/2020 and dril...
Authors
McLennan, J. et al Energy and Geoscience Institute at the University of Utah
geothermalenergyutah forgedrillingdirectional16a78-32time seriessurveytrajectoryraw dataegsrigphotosoperationsdeviateddeep wellhighly deviatedforgeutahpasonpason data

Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests

Jul 06, 2017
9.84 GB
Publicly accessible
California State University Long Beach evaluated hydraulic connectivity among geothermal wells using Periodic Hydraulic Testing (PHT) and Distributed Acoustic Sensing (DAS). The principal was to create a pressure signal in one well and observe the responding pressure signals in on...
Authors
Coleman, T. and Becker, M. California State University
geothermalenergydasdistributed acoustic sensingmirror lakenew hampshiregeomechanicsperiodic hydraulic testsmatlabacoustic sensing data

DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

Jun 30, 2023
413.96 MB
Publicly accessible
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific e...
Authors
Pauling, H. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsnewberrymagmatichydrothermalpfaprocessed dataexplorationcharacterizationdatasetsgeodata3dmodelingdemlidarmtmagnetotelluricsgravitydensityresistivityearthquake catalogseismicvelocitytemperature modelgeologic modelalteration modelwell data

PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Mar 29, 2016
342.13 TB
Publicly accessible
This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...
Authors
Feigl, K. et al University of Wisconsin
geothermalporotomodasfiber opticsurface sensorsseismic arraydistributed acoustic sensingporoeleastic tomographybradys geothermal fieldgeosciencedistributed sensingdownholetrenchedseismicityhydrothermalgeophysicsoediraw datajupyter notebookpythonhdf5hsdsh5pyh5pyd

Brady Hot Springs Seismic Modeling Data for Push-Pull Project

Jul 31, 2018
16.99 GB
Publicly accessible
This submission includes synthetic seismic modeling data for the Push-Pull project at Brady Hot Springs, NV. The synthetic seismic is all generated by finite-difference method regarding different fracture and rock properties.
Authors
Zhang, R. University of Louisiana
geothermalenergyseismicgeophysicsactive sourcevelocitygeophysicaldatamodelingnumericalsyntheticbrady hot springsnevadanvfracturerockgeologicpropertiespropertypush-pullfinite differencenumerical modelingvspvertical seismic profilingboreholefracturednon-fracturedmediaco2saturation

Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development Hinesburg, VT

Aug 30, 2024
743.47 MB
Publicly accessible
This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes ...
Authors
Jogineedi, R. et al GTI Energy
geothermalenergycommunity geothermalgeothermal sizingborehole testinggeothermal heat pumpworkforce developmentbuilding energy modelingground heat exchangergeothermal network designcommunity engagementcommgeohinesburgvermontmodelicaenergyplusonepipepythonmodelingthermal conductivity testreportenergy modelborehole designhourly energy loadssizinggeothermal loop sizingsystem designdevelopment

Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Oct 27, 2019
3.29 MB
Publicly accessible
This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.
Authors
Jordan, T. et al Cornell University
geothermalenergycornell universitylow-temperature geothermalreservoir simulationuncertainty analysisdistrict heatingdirect useappalachian basinnew york statetechno-economic analysislevelized cost of heat lcohexternality valuesenvironmental valueeconomic valueddueaenvironmentenvironmentalassessmenttemperaturelcohlevelized cost of heateffective porosityheat pumpghpwell datacharacterizationshale neutron porositycornell
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