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Play Fairway Analysis (PFA)×

Snake River Plain Play Fairway Analysis: Mountain Home Geothermal Area Natural State Model

Jul 28, 2015
19.23 MB
Publicly accessible
The Mountain Home area is characterized by high heat flow and temperature gradient. Temperature data are available from 18 boreholes with depths equal to or greater than 200 m, 5 of which have depths ranging from ~1340 m to ~3390 m (MH-1, MH-2, Bostic1, Lawrence D No.1, and Anschu...
Authors
Garg, S. et al Utah State University
snake river mountain home modelinggeothermalenergysnake river plainmountain homenumerical modelmagnetotelluricgravityplay fairwaynatural statethermal modelingmagnetotelluricsplay fairway analysissrpmtgeophysicsgeophysicaltemperaurepre-productionstatestructureresource assessmentpfamodellingnatural

Hawaii Play Fairway Analysis: Groundwater Chemistry

Mar 20, 2017
51.02 kB
Publicly accessible
Groundwater geochemistry data collected for the phase 2 of the Hawaii Play Fairway Analyses. These data are included in a Lautze et al. paper to Geothermics (in review).
Authors
Lautze, N. University of Hawaii
geothermalenergywellgroundwaterchemistryhawaiiwatergeochemistrywater chemistryaqueous chemistrysamplingplay fairwayhydrogeologyhydrochemistryhydrogeochemistrypfaresourcecharacterizationblindphase 2

Innovative Play Fairway Modelling Applied to the Tularosa Basin Project Report

Oct 16, 2015
4.44 MB
Publicly accessible
This report describes all of the work done in Phase I of a geothermal exploration project in the Tularosa Basin, as well as an outline for Phase II work, and more.
Authors
Bennett, C. et al University of Utah
geothermalexplorationphase 1tularosabasinnew mexicopfaplay fairway analysismodellingprojectreportpapernmheatgroundwaterfracture permeabilityinnovativeinvestigationresourceassessmenttularosa basin

DEEPEN: Final 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano

Jan 24, 2024
1.3 GB
Publicly accessible
Part of the DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments) project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). This was tested...
Authors
Taverna, N. et al National Renewable Energy Laboratory
geothermalenergydeepensuperhotsupercriticalsuperhot egsegsnewberrymagmatichydrothermalpfamodelingmodellingexploration3d2dfavorabilityomfleapfrogmodelgeodatauncertaintycomponentvolcanogeodata modelprocessed datageophysicscharacterization

A Hydrogeochemical Analysis of Geothermal Resources in the State of Hawaii

May 01, 2018
9.39 MB
Publicly accessible
The University of Hawaii at Manoa conducted a Play Fairway Analysis of the state of geothermal potential for the islands. Phase I included the aggregation of all existing geologic, geophysical and geochemical data available. A probability model incorporating heat, fluid, and perme...
Authors
Tachera, D. University of Hawaii
geothermalenergyhydrogeochemicalgeochemicalhawaiipfaplay fairwaygeochemistrycharacterizationmodelingplay fairway analysisgroundwatertemperaturechloridemagnesiumratiosulfatechloridesilicaconcentrationsouthwest rift zonehaleakalamauipalawai basinlanai

Tularosa Basin Play Fairway Analysis Model

Nov 15, 2015
4.01 MB
Publicly accessible
This submission contains several shapefiles used for a deterministic PFA, as well as a heat composite risk segment with union overlay, and training sites used for weights of evidence. More detailed metadata can be found in the specific file.
Authors
Brandt, A. University of Utah
geothermalplay fairway analysispfacrstularosabasinnew mexicofort blissmcgregor rangeweights of evidenceheat crsuniondissolvecertaintytrainingsitesheatcompositerisksegmentplayfairwayanalysisshapefileshape filegisarcgisgeospatial data

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
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