Hawaii Play Fairway Analysis Results
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 subsurface heat, permeability, and fluid. The grid (provided here in multiple file formats) reflects spatial variations in resource potential across the islands and is provided in multiple geospatial file formats. The attached publication from Lautze et al. further discusses the PFA methodology and results.
Citation Formats
TY - DATA
AB - 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 subsurface heat, permeability, and fluid. The grid (provided here in multiple file formats) reflects spatial variations in resource potential across the islands and is provided in multiple geospatial file formats. The attached publication from Lautze et al. further discusses the PFA methodology and results.
AU - Lautze, Nicole
A2 - Thomas, Donald
A3 - Waller, David
A4 - Frazer, Neil
A5 - Hinz, Nicholas
A6 - Apuzen-Ito, Garrett
DB - Geothermal Data Repository
DP - Open EI | National Laboratory of the Rockies
DO - 10.15121/1223895
KW - geothermal
KW - Hawaii
KW - PFA
KW - analysis
KW - results
KW - play fairway
KW - probability
KW - grid
KW - resource assessment
KW - resource potential
KW - resource characterization
KW - characterization
KW - resource
KW - geospatial data
LA - English
DA - 2015/01/01
PY - 2015
PB - University of Hawaii
T1 - Hawaii Play Fairway Analysis Results
UR - https://doi.org/10.15121/1223895
ER -
Lautze, Nicole, et al. Hawaii Play Fairway Analysis Results. University of Hawaii, 1 January, 2015, Geothermal Data Repository. https://doi.org/10.15121/1223895.
Lautze, N., Thomas, D., Waller, D., Frazer, N., Hinz, N., & Apuzen-Ito, G. (2015). Hawaii Play Fairway Analysis Results. [Data set]. Geothermal Data Repository. University of Hawaii. https://doi.org/10.15121/1223895
Lautze, Nicole, Donald Thomas, David Waller, Neil Frazer, Nicholas Hinz, and Garrett Apuzen-Ito. Hawaii Play Fairway Analysis Results. University of Hawaii, January, 1, 2015. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1223895
@misc{GDR_Dataset_544,
title = {Hawaii Play Fairway Analysis Results},
author = {Lautze, Nicole and Thomas, Donald and Waller, David and Frazer, Neil and Hinz, Nicholas and Apuzen-Ito, Garrett},
abstractNote = {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 subsurface heat, permeability, and fluid. The grid (provided here in multiple file formats) reflects spatial variations in resource potential across the islands and is provided in multiple geospatial file formats. The attached publication from Lautze et al. further discusses the PFA methodology and results.},
url = {https://gdr.openei.org/submissions/544},
year = {2015},
howpublished = {Geothermal Data Repository, University of Hawaii, https://doi.org/10.15121/1223895},
note = {Accessed: 2026-01-29},
doi = {10.15121/1223895}
}
https://dx.doi.org/10.15121/1223895
Details
Data from Jan 1, 2015
Last updated Dec 17, 2025
Submitted Oct 9, 2015
Organization
University of Hawaii
Contact
Nicole Lautze
808.956.3499
Authors
Keywords
geothermal, Hawaii, PFA, analysis, results, play fairway, probability, grid, resource assessment, resource potential, resource characterization, characterization, resource, geospatial dataDOE Project Details
Project Name Comprehensive analysis of Hawaii's geothermal potential through Play Fairway integration of geophysical, geochemical, and geological data
Project Lead Holly Thomas
Project Number EE0006729
