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GeoVision Barriers Taskforce

Sep 30, 2015
55.69 kB
Publicly accessible
This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort. Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...
Authors
Young, K. and Levine, A. National Renewable Energy Laboratory
geothermalenergybarrierscostspermitpermittingregulatorytimelinesocial acceptanceregulationreedsgeovisionsocio-economicssocialeconomicssocio-economicseatsocio-economic assessment toolgeoreportbarriers expert teamland accesstransmissionmarketcosteconomiceaenvironmentalassessmentculturaltribalbiologicalregulatory frameworkstatefederalleasinggeothermal resource potentialdevelopment timelinesnepamarket barriersincentive

GBCGE Subsurface Database Explorer and APIs

Mar 16, 2020
Size unavailable
Publicly accessible
This submission defines a DOI for the Great Basin Center for Geothermal Energy's (GBCGE) Subsurface Database Explorer web application and underlying data services, and acknowledges the INGENIOUS project as a major source of funding for data compilation and quality assurance. The ...
Authors
Mlawsky, E. and Ayling, B. NBMG; GBCGE; UNR
geothermalenergygreat basinnevadautahidahooregoncaliforniawellsspringspower plantsstructural settingstemperaturechemistryinjectionproductionwell logscore photographydigitizationrelational databasedatabasepostgresqlsqlarcmap onlinerest serviceapiweb applicationweb map

Stanford Thermal Earth Model for the Conterminous United States

Mar 14, 2024
21.57 GB
Publicly accessible
Provided here are various forms of the Stanford Thermal Earth Model, as well as the data and methods used for its creation. The predictions produced by this model were visualized in two-dimensional spatial maps across the modeled depths (0-7 km) for the conterminous United States....
Authors
Aljubran, M. and Horne, R. Stanford University
thermal earth modeltemperaturegeothermalenergystanfordtemperature-at-depthheat flowrock thermal conductivityinterpignnphysics-informedgraph neural networksmachine learningmodeltemperature modelarcgisapimodel inputsmodel outputsdata-drivenspatial interpolationalgorithmheat conductionbottomhole temperature