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Hawaii Play Fairway Analysis Results

Jan 01, 2015
36.15 MB
Publicly accessible
This dataset presents a geothermal resource probability grid for the state of Hawaii, produced as part of a Play Fairway Analysis conducted between. The analysis integrated geological, geophysical, and hydrological data to estimate the likelihood of resource presence based on subs...
Authors
Lautze, N. et al University of Hawaii
geothermalhawaiipfaanalysisresultsplay fairwayprobabilitygridresource assessmentresource potentialresource characterizationcharacterizationresourcegeospatial data

EGS Collab Experiment 1: DNA tracer data on transport through porous media

Nov 21, 2020
34.37 kB
Publicly accessible
This submission contains DNA tracer data that supports the analysis and conclusions of the publication, "DNA tracer transport through porous media The effect of DNA length and adsorption." https://doi.org/10.1029/2020WR028382. This experiment used DNA as an artificial reservoir t...
Authors
Zhang, Y. et al Stanford University
tracergroundwaterdnamulti-well tracer testgroundwater tracingartificial tracerdataraw dataadsorptionreservoir tracerartificial reservoir tracerhydrogeologyhydrologycolumn transportexperimentlablaboratorylab data

Laboratory data for characterizing acoustic emissions during differential stress-driven and pore-pressure-driven failure in granite

Sep 20, 2026
Size unavailable
Curated
This dataset contains acoustic-emission (AE), ultrasonic-transmission, permeability, and hydromechanical measurements from triaxial laboratory experiments comparing differential stress-driven and pore-pressure-driven failure in saturated, thermally cracked Barre granite at 80 degr...
Authors
Nakata, N. and Pec, M. Lawrence Berkeley National Laboratory
geothermalenergyaegranitelaboratory experimentpermeabilityfracture networksstressstrainseismic monitoringraw datatraffic lightdifferential stress

Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments

Feb 07, 2023
Size unavailable
Publicly accessible
Previous moderate and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable mode...
Authors
Mordensky, S. et al United States Geological Survey
geothermalenergypfahydrothermalenergy assessmentresource assessmentretrospectivemachine learninggeosciencewestern usdata-drivenbias reductionfavorabilitymappingegslow tempprocessed dataresourcecharacterization