analytics Curv Aero
Services · Geothermal exploration

AI Powered Geothermal Exploration &
3D Subsurface Intelligence

Integrating remote sensing, geospatial AI, and 3D modeling to identify geothermal potential.

CurvAero combines remote sensing, GIS, artificial intelligence, and 3D geological modeling to support geothermal exploration and resource assessment.

A satellite above a geothermal field with steaming power plants, a colour-coded thermal anomaly map draped over the terrain, stacked data layers, and a 3D cutaway of faulted rock layers above a subsurface heat source
satellite_altRemote sensing
mapGIS
psychologyArtificial intelligence
view_in_ar3D geological modeling

Multiple indicators, one picture

From surface evidence to subsurface systems

Our approach integrates multiple indicators that may be associated with geothermal systems, including surface temperature anomalies, structural geology, lineaments and faults, alteration patterns, topography, satellite derived observations, and available geophysical or geological datasets.

Indicators

  • thermostatSurface temperature anomalies
  • layersStructural geology
  • polylineLineaments and faults
  • blur_onAlteration patterns
  • terrainTopography
  • satellite_altSatellite derived observations
  • databaseGeophysical and geological datasets

Modeling and visualization

Machine learning and spatial decision models can be used to identify and rank prospective geothermal zones, while 3D visualization helps decision makers understand the spatial relationship between surface indicators, geological structures, and potential subsurface systems.

  • psychologyMachine learning models
  • account_treeSpatial decision models
  • leaderboardRanked prospective zones
  • view_in_ar3D visualization

What we deliver

From indicators to ranked geothermal targets

map

Geothermal prospectivity mapping

Maps of where geothermal potential is most likely, built from the combined indicators.

psychology

AI/ML-based suitability modeling

Machine learning models that score each location's suitability from the integrated datasets.

thermostat

Thermal anomaly analysis

Surface temperature anomalies identified from satellite derived observations.

account_tree

Multi-criteria spatial analysis

Indicators weighted and combined in spatial decision models to rank prospective zones.

polyline

Fault and lineament extraction

Faults and lineaments traced across the area as potential pathways for geothermal fluids.

view_in_ar

3D geological visualization

Surface indicators, geological structures and potential subsurface systems shown together in 3D.

satellite_alt

Remote-sensing interpretation

Satellite observations interpreted for alteration patterns, structure and surface temperature.

leaderboard

Exploration target prioritization

Prospective zones ranked, so investigation starts where the evidence is strongest.

Prioritize before you drill

Tell us about the area and the data you already have. We will build the analysis around the indicators and datasets available.